1
|
A novel integrated MADM method for design concept evaluation. Sci Rep 2022; 12:15885. [PMID: 36151244 PMCID: PMC9508270 DOI: 10.1038/s41598-022-20044-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/08/2022] [Indexed: 11/08/2022] Open
Abstract
Design concept evaluation plays a significant role in new product development. Rough set based methods are regarded as effective evaluation techniques when facing a vague and uncertain environment and are widely used in product research and development. This paper proposed an improved rough-TOPSIS method, which aims to reduce the imprecision of design concept evaluation in two ways. First, the expert group for design concept evaluation is classified into three clusters: designers, manufacturers, and customers. The cluster weight is determined by roles in the assessment using a Multiplicative Analytic Hierarchy Process method. Second, the raw information collection method is improved with a 3-step process, and both design values and expert linguistic preferences are integrated into the rough decision matrix. The alternatives are then ranked with a rough-TOPSIS method with entropy criteria weight. A practical example is shown to demonstrate the method's viability. The findings suggest that the proposed decision-making process is effective in product concept design evaluation.
Collapse
|
2
|
Krishankumar R, Sivagami R, Saha A, Rani P, Arun K, Ravichandran KS. Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information. APPL INTELL 2022; 52:13497-13519. [PMID: 35068692 PMCID: PMC8763448 DOI: 10.1007/s10489-021-02913-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2021] [Indexed: 11/20/2022]
Abstract
The role of cloud services in the data-intensive industry is indispensable. Cision recently reported that the cloud market would grow to 55 billion USD, with an active contribution of the cloud to healthcare around 2025. Inspired by the report, cloud vendors expand their market and the quality of services to seek growth globally. The rapid growth of the cloud sector in the healthcare industry imposes a challenge: making a rational choice of a cloud vendor (CV) out of a diverse set of vendors. Typically, the healthcare industry 4.0 sees the issue as a large-scale group decision-making problem. Previous studies on a CV selection face certain challenges, such as (i) a lack of the ability to handle multiple users' views, as well as experts'/users' complex linguistic views; (ii) the confidence level associated with a view is not considered; (iii) the transformation of multiple users' views into holistic data is lacking; and (iv) the systematic prioritization of CVs with minimum human intervention is a crucial task. Motivated by these challenges and circumventing them, a new big data-driven decision model is put forward in this paper. Initially, the data in the form of complex expressions are collected from multiple cloud users and are further transformed into a holistic decision matrix by adopting probabilistic linguistic information (PLI). PLI represents complex linguistic expressions along with the associated confidence levels. Later, a holistic decision matrix is formed with the missing values imputed by proposing an imputation algorithm. Furthermore, the criteria weights are determined by using a newly proposed mathematical model and partial information. Finally, the evaluation based on the distance from average solution (EDAS) approach is extended to PLI for the rational ranking of CVs. A real-time example of a CV selection for a healthcare center in India is exemplified so as to demonstrate the usefulness of the model, and the comparison reveals the merits and limitations of the model.
Collapse
Affiliation(s)
- R. Krishankumar
- Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, TN, India
| | - R. Sivagami
- School of Computing, SASTRA University, Thanjavur, 613401 TN India
| | - Abhijit Saha
- Department of Mathematics, Techno College of Engineering, Agartala, India
| | - Pratibha Rani
- Department of Mathematics, Chandigarh University, Mohali, 140413 Punjab India
| | - Karthik Arun
- School of Computing, SASTRA University, Thanjavur, 613401 TN India
| | - K. S. Ravichandran
- Rajiv Gandhi National Institute of Youth Development, Sriperumbudur, 602105 TN India
| |
Collapse
|
3
|
Mishra AR, Rani P, Pandey K. Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2022; 13:295-311. [PMID: 33584868 PMCID: PMC7871958 DOI: 10.1007/s12652-021-02902-w] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 01/09/2021] [Indexed: 05/17/2023]
Abstract
In today's world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries seeking improved customer service, cost reduction and sustainability perspectives. However, the assessment and selection of right S3PRLP is a complex uncertain decision-making problem due to involvement of numerous conflicting attributes, imprecise human mind and lack of information. Recently, Fermatean fuzzy set (FFS) has been recognized as one of the suitable tools to tackle the uncertain and inaccurate information. In this paper, we introduce a hybrid methodology based on CRITIC and EDAS methods with Fermatean fuzzy sets (FFSs) to solve the S3PRLP selection problem in which the attributes and decision makers' weights are completely unknown. In this framework, CRITIC approach is applied to calculate the attribute weight and EDAS method is used to evaluate the priority order of S3PRLP options. To do this, a new improved generalized score function (IGSF) is developed with its elegant properties. Also, a formula is discussed to calculate the decision makers' weights based on the developed IGSF. Next, developed framework is applied to assess a case study of S3PRLP selection problem with Fermatean fuzzy information, which elucidates the usefulness and practicality of the proposed method. Finally, comparative study is implemented to show the strength of introduced framework with extant approaches. The outcomes of the work confirm that the introduced approach is more feasible and well-consistent with the other extant approaches.
Collapse
Affiliation(s)
| | - Pratibha Rani
- Department of Mathematics, NIT, Warangal, Telangana India
| | - Kiran Pandey
- Department of Mathematics, Bioinformatics and Computer Application, MANIT, Bhopal, MP India
| |
Collapse
|
4
|
Garg H, Sharaf IM. A new spherical aggregation function with the concept of spherical fuzzy difference for spherical fuzzy EDAS and its application to industrial robot selection. COMPUTATIONAL AND APPLIED MATHEMATICS 2022; 41:212. [PMCID: PMC9197109 DOI: 10.1007/s40314-022-01903-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/28/2022] [Accepted: 05/09/2022] [Indexed: 01/18/2024]
Abstract
In this article, a new fully fuzzy approach is developed for the evaluation based on distance from average solution (EDAS) for multi-criteria decision-making (MCDM) using spherical fuzzy sets (SFSs). The proposed approach avoids the current limitations and drawbacks of distance-based methods in general and the EDAS method in particular using spherical fuzzy information namely, early defuzzification, the flaws of distance measures, and the undefined spherical fuzzy subtraction and division operations. First, the approach employs the score function only in the final step for ranking. Second, the concept of the spherical fuzzy difference is introduced to make up for the subtraction operation which is the backbone of EDAS and as a substitute for distance measures. The spherical fuzzy difference is utilized to indicate any increase or decrease in the membership degree, the non-membership degree, and the hesitancy degree in the performance of an alternative for a criterion than that of its peer in the average solution. Then, the weighted spherical differences are calculated. The total weighted spherical differences from the average solution of each alternative for the assessment criteria are aggregated in the appraisal score. Due to a flaw in the extant aggregation operators, their results might be misleading. Therefore, an aggregation function is introduced that guarantees a balanced and fair aggregation. The appraisal scores are defuzzified, and the alternative with the highest appraisal score is the best. Two practical examples in MCDM are solved and a comparative study is presented to demonstrate and validate the algorithm.
Collapse
Affiliation(s)
- Harish Garg
- School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab 147004 India
| | - Iman Mohamad Sharaf
- Department of Basic Sciences, Higher Technological Institute, Tenth of Ramadan City, Egypt
| |
Collapse
|
5
|
The Interval probabilistic double hierarchy linguistic EDAS method based on natural language processing basic techniques and its application to hotel online reviews. INT J MACH LEARN CYB 2021. [DOI: 10.1007/s13042-021-01463-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
6
|
Wang H. Models for MADM with hesitant interval-valued fuzzy information under uncertain environment. INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS 2021. [DOI: 10.3233/kes-210074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This paper is a research of interval-valued fuzzy and Muirhead Mean algorithms. We deduced new algorithms named as hesitant interval-valued fuzzy Muirhead Mean (HIVFMM) and hesitant interval-valued fuzzy Muirhead Mean (HIVFWMM) with Muirhead Mean algorithms based on Hesitant interval-valued fuzzy set (HIVFS). Firstly, we introduced some concepts and operation laws of HIVFS and the formula form of MM, then we combined them both and gave the proof process of properties and theorems, a mathematic model applying to MADM and a numerical example was given to illustrate the effectively and practically.
Collapse
|
7
|
Wang HJ. Interval-valued intuitionistic fuzzy multiple attribute decision making and their applications. INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS 2021. [DOI: 10.3233/kes-210069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In this paper, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with interval-valued intuitionistic fuzzy numbers (IVIFNs) to propose the interval -valued intuitionistic fuzzy Muirhead mean (IVIFMM) operator, interval-valued intuitionistic fuzzy weighted Muirhead mean (IVIFWMM) operator, interval-valued intuitionistic fuzzy dual Muirhead mean (IVIFDMM) operator and interval-valued intuitionistic fuzzy weighted dual Muirhead mean (IVIFWDMM) operator. Then the MADM methods are proposed with these operators. In the end, we utilize an applicable example for green supplier selection in green supply chain management to prove the proposed methods.
Collapse
|
8
|
EDAS method for probabilistic linguistic multiple attribute group decision making and their application to green supplier selection. Soft comput 2021. [DOI: 10.1007/s00500-021-05842-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
9
|
An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach. INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT 2021. [DOI: 10.1108/ijlm-11-2020-0452] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic.Design/methodology/approachA hybrid multicriteria model, i.e. Fuzzy Analytical Hierarchy Process (AHP), was used to assign weights to each criterion, which was subsequently analyzed by three approaches, namely Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory), and Evaluation Based on Distance from Average Solution (EDA), to rank the top ten companies in descending order of supply chain resilience. Further, sensitivity analysis is performed to identify the consistency in ranking with variation in weights. The rankings are validated by a novel Ensemble Ranking algorithm and by supply chain domain experts.FindingsThe rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.Practical implications“Crisis Management Beforehand” is most critical in the current pandemic scenario. This implies that companies need to first prioritize taking proactive steps in crisis management followed by the need to minimize the “Expected impact of pandemic.” Performance factors also need to be regulated (sales, supply chain rank and financial performance) to maintain the company's overall reputation. Considering the consistent performance of the China Energy Construction Group Tianjin Electric Power Construction Co., Ltd., it is recommended as the most reliable supply chain firm to forge strategic partnerships with other supply chain stakeholders like suppliers and customers. On the other hand, Bosch is not recommended as a supply chain reliable company and needs to improve its crisis management capabilities to minimize the pandemic impact.Originality/valueThe paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic. The rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.
Collapse
|
10
|
Extension of TOPSIS method for group decision-making under triangular linguistic neutrosophic cubic sets. Soft comput 2021. [DOI: 10.1007/s00500-020-05427-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
11
|
Phu ND, Hung NN, Ahmadian A, Salahshour S, Senu N. Geometric picture fuzzy numbers and three-dimensional copulas with the non-linear programming approach. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-182519] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study presents a possible relationship between two main objects, which are three-dimensional copulas (3D-Cs) and geometric picture fuzzy numbers (GPFNs). This opens up a potential field for future studies for these two objects that three-dimensional copulas can become useful tools for handling uncertainty information in the form of a picture fuzzy set (PFS). Specifically, we define a GPFN as a base element of the PFS and a defined domain of three-dimensional copulas that contains a set of GPFNs, then we show some examples of three-dimensional copulas identified on this domain. In this framework, we present the theorems related to these two objects. At the same time, we provide some examples for three-dimensional semi-copulas, three-dimensional quasi-copulas, and three-dimensional empirical copulas defined on D, which is a defined domain of a three-dimensional copula and contains a set of GPFNs D g * . In addition, we also introduce a new approach to non-linear programming problems.
Collapse
Affiliation(s)
- Nguyen Dinh Phu
- Faculty of Engineering Technology, Quang Trung University, Quy Nhon City, Vietnam
| | - Nguyen Nhut Hung
- Faculty of Engineering Technology, Quang Trung University, Quy Nhon City, Vietnam
| | - Ali Ahmadian
- Institute of IR 4.0, The National University of Malaysia, UKM, Bangi, Selangor, Malaysia
| | - Soheil Salahshour
- Bahcesehir University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey
| | - Norazak Senu
- Institute for Mathematical Research (INSPEM), University Putra Malaysia, UPM, Selangor, Malaysia
| |
Collapse
|
12
|
Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market. MATHEMATICS 2020. [DOI: 10.3390/math8101724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Nowadays, wine has become a very popular item to purchase. There are a lot of brands and a lot of different types of wines that have different prices and characteristics. Since there is a lot of options, it is easy for buyers to feel lost among the high number of possibilities. Therefore, there is a need for computational tools that help buyers to decide which is the wine that better fits their necessities. In this article, a decision support system built over a fuzzy ontology has been designed for helping people to select a wine. Two different possible architecture implementation designs are presented. Furthermore, imprecise information is used to design a comfortable way of providing information to the system. Users can use this comfortable communication system to express their preferences and provide their opinion about the selected products. Moreover, mechanisms to carry out a constant update of the fuzzy ontology are exposed.
Collapse
|
13
|
Wei G, He Y, Lei F, Wu J, Wei C, Guo Y. Green supplier selection with an uncertain probabilistic linguistic MABAC method. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-191584] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In recent years, with the increased voice for protecting the environment by the people all over the world, the governments also have actively adopted more and more measures to further promote environmental conservation and sustainable development. Traditional procurement approaches have not well updated to the current needs of the society, especially for the retail industry which is in relation to the national economy due to numerous products and different suppliers being involved. Therefore, the need for green procurement is more important. The qualified green supplier selection is the core of green procurement, which is the utmost importance in the business competition throughout the supply chain in today’s strong business competition. Thus, in order to obtain the optimal green supplier, integration of Entropy weights and multi-attributive border approximation area comparison (MABAC) under uncertain probabilistic linguistic sets (UPLTSs) has offered a novel integrated model, in which information Entropy is utilized for calculating objective weights with UPLTSs to acquire the final ranking result of green supplier. Besides, so as to indicate the applicability of devised method, it is confirmed by a numerical case for green supplier selection. Some comparative studies are made with some existing methods. The proposed method can also serve for selecting suitable alternative successfully in other selection problems.
Collapse
Affiliation(s)
- Guiwu Wei
- School of Business, Sichuan Normal University, Chengdu, P.R. China
| | - Yan He
- School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China
| | - Fan Lei
- School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China
| | - Jiang Wu
- School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China
| | - Cun Wei
- School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China
| | - Yanfeng Guo
- School of Finance, Southwestern University of Finance and Economics, Chengdu, China
| |
Collapse
|
14
|
Zhan J, Jiang H, Yao Y. Covering-based variable precision fuzzy rough sets with PROMETHEE-EDAS methods. Inf Sci (N Y) 2020. [DOI: 10.1016/j.ins.2020.06.006] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
15
|
Decision-making method based on new entropy and refined single-valued neutrosophic sets and its application in typhoon disaster assessment. APPL INTELL 2020. [DOI: 10.1007/s10489-020-01706-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
16
|
An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects. Symmetry (Basel) 2020. [DOI: 10.3390/sym12030484] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Multiple attribute group decision-making (MAGDM) methods have a significant influence on decision-making in a variety of strategic fields, including science, business and real-life studies. The problem of evaluation in green building energy-saving design projects could be regarded as a type of MAGDM problem. The evaluation based on distance from average solution (EDAS) method is one of the MAGDM methods, which simplifies the traditional decision-making process. Symmetry among some attributes that are known and unknown as well as between pure attribute sets and fuzzy attribute membership sets can be an effective way to solve MAGDM problems. In this paper, the classical EDAS method is extended to intuitionistic fuzzy environments to solve some MAGDM issues. First, some concepts of intuitionistic fuzzy sets (IFSs) are briefly reviewed. Then, by integrating the EDAS method with IFSs, we establish an IF-EDAS method to solve the MAGDM issues and present all calculating procedures in detail. Finally, we provide an empirical application for evaluating green building energy-saving design projects to demonstrate this novel method. Some comparative analyses are also made to show the merits of the method.
Collapse
|
17
|
An Emergency Decision-Making Method for Probabilistic Linguistic Term Sets Extended by D Number Theory. Symmetry (Basel) 2020. [DOI: 10.3390/sym12030380] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Emergency decision-making has become as one of the hot issues in recent years. The aim of emergency decision-making is to reduce the casualties and property losses. All the processes of emergency decision-making are full of incompleteness and hesitation. The problem of emergency decision-making can be regarded as one of the multi-attribute decision-making (MADM) problems. In this manuscript, a new method to solve the problem of emergency decision-making named D-PLTS is proposed, based on D number theory and the probability linguistic term set (PLTS). The evaluation information given by experts is tidied to be the form of PLTS, which can be directly transferred to the form of the D number, no matter whether the information is complete or not. Furthermore, the integration property of D number theory is carried out to fuse the information. Besides, two examples are given to demonstrate the effectiveness of the proposed method. Compared with some existing methods, the D-PLTS is more straightforward and has less computational complexity. Allocation weights that are more reasonable is the future work for the D-PLTS method.
Collapse
|
18
|
Khan MJ, Kumam P, Liu P, Kumam W, ur Rehman H. An adjustable weighted soft discernibility matrix based on generalized picture fuzzy soft set and its applications in decision making. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-190812] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Muhammad Jabir Khan
- Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand
| | - Poom Kumam
- Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand
- Center of Excellence in Theoretical and Computational Science (TaCS-CoE), SCL 802 Fixed Point Laboratory, Science Laboratory Building, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Peide Liu
- Shandong University of Finance and Economics, Jinan, China
| | - Wiyada Kumam
- Department of Mathematics and Computer Science, Program in Applied Statistics, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi (RMUTT), Thanyaburi, Pathumthani, Thailand
| | - Habib ur Rehman
- Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand
| |
Collapse
|
19
|
Cheng Q, Wang H, Liu Z, Zhang C, Sun D, Qi B. Reliability allocation method based on maximum entropy ordered weighted average and hesitant fuzzy Linguistic term set. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019. [DOI: 10.3233/jifs-190376] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Qiang Cheng
- Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
| | - Hao Wang
- Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
| | - Zhifeng Liu
- Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
| | - Caixia Zhang
- Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
| | - Dongyang Sun
- Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
| | - Baobao Qi
- Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
| |
Collapse
|
20
|
Wei G, Wei C, Wu J, Wang H. Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E5082. [PMID: 31842445 PMCID: PMC6950194 DOI: 10.3390/ijerph16245082] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 12/03/2019] [Accepted: 12/09/2019] [Indexed: 11/17/2022]
Abstract
In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to acquire the final ranking result of a medical consumption product supplier. Additionally, so as to indicate the applicability of the devised method, this model is confirmed by a numerical case for the supplier selection of medical consumption products. Some comparative studies are made with some existing methods. The proposed method can also successfully select suitable alternatives in other selection problems.
Collapse
Affiliation(s)
- Guiwu Wei
- School of Business, Sichuan Normal University, Chengdu 610101, China
| | - Cun Wei
- School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China (J.W.)
| | - Jiang Wu
- School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China (J.W.)
| | - Hongjun Wang
- School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China
| |
Collapse
|
21
|
Aggregation of pragmatic operators to support probabilistic linguistic multi-criteria group decision-making problems. Soft comput 2019. [DOI: 10.1007/s00500-019-04393-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
22
|
MABAC method for multiple attribute group decision making under picture 2-tuple linguistic environment. Soft comput 2019. [DOI: 10.1007/s00500-019-04364-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
23
|
Zhang R. The generalized dice similarity measures for evaluating the development level of the mass sports culture organization with 2-tuple linguistic information. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019. [DOI: 10.3233/jifs-179247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Runtao Zhang
- School of Physical Education, Sichuan Agricultural University, Sichuan, Chengdu, China
| |
Collapse
|
24
|
Wang J, Wei G, Wang R, Alsaadi FE, Hayat T, Wei C, Zhang Y, Wu J. Some q‐rung interval‐valued orthopair fuzzy Maclaurin symmetric mean operators and their applications to multiple attribute group decision making. INT J INTELL SYST 2019. [DOI: 10.1002/int.22156] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Jie Wang
- School of BusinessSichuan Normal University Chengdu China
| | - Guiwu Wei
- School of BusinessSichuan Normal University Chengdu China
- Communications Systems and Networks (CSN) Research Group, Department of Electrical and Computer Engineering, Faculty of EngineeringKing Abdulaziz University Jeddah Saudi Arabia
| | - Rui Wang
- School of BusinessSichuan Normal University Chengdu China
| | - Fuad E. Alsaadi
- Communications Systems and Networks (CSN) Research Group, Department of Electrical and Computer Engineering, Faculty of EngineeringKing Abdulaziz University Jeddah Saudi Arabia
| | - Tasawar Hayat
- Department of MathematicsQuaid‐I‐Azam University Islamabad Pakistan
- Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, Faculty of ScienceKing Abdulaziz University Jeddah Saudi Arabia
| | - Cun Wei
- School of BusinessSichuan Normal University Chengdu China
- School of StatisticsSouthwestern University of Finance and Economics Chengdu China
| | - Yi Zhang
- Business SchoolSouthwest University of Political Science & Law Chongqing China
| | - Jiang Wu
- School of StatisticsSouthwestern University of Finance and Economics Chengdu China
| |
Collapse
|
25
|
Dual Hesitant q-Rung Orthopair Fuzzy Hamacher Aggregation Operators and their Applications in Scheme Selection of Construction Project. Symmetry (Basel) 2019. [DOI: 10.3390/sym11060771] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The q-rung orthopair fuzzy set (q-ROFS), which is the extension of intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS), satisfies the sum of q-th power of membership degree and nonmembership degree is limited 1. Evidently, the q-ROFS can depict more fuzzy assessment information and consider decision-maker’s (DM’s) hesitance. Thus, the concept of a dual hesitant q-rung orthopair fuzzy set (DHq-ROFS) is developed in this paper. Then, based on Hamacher operation laws, weighting average (WA) operator and weighting geometric (WG) operator, some dual hesitant q-rung orthopair fuzzy Hamacher aggregation operators are developed, such as the dual hesitant q-rung orthopair fuzzy Hamacher weighting average (DHq-ROFHWA) operator, the dual hesitant q-rung orthopair fuzzy Hamacher weighting geometric (DHq-ROFHWG) operator, the dual hesitant q-rung orthopair fuzzy Hamacher ordered weighted average (DHq-ROFHOWA) operator, the dual hesitant q-rung orthopair fuzzy Hamacher ordered weighting geometric (DHq-ROFHOWG) operator, the dual hesitant q-rung orthopair fuzzy Hamacher hybrid average (DHq-ROFHHA) operator, and the dual hesitant q-rung orthopair fuzzy Hamacher hybrid geometric (DHq-ROFHHG) operator. The precious merits and some particular cases of above mentioned aggregation operators are briefly introduced. In the end, an actual application for scheme selection of construction project is provided to testify the proposed operators and deliver a comparative analysis.
Collapse
|
26
|
Lu J, Tang X, Wei G, Wei C, Wei Y. Bidirectional project method for dual hesitant Pythagorean fuzzy multiple attribute decision‐making and their application to performance assessment of new rural construction. INT J INTELL SYST 2019. [DOI: 10.1002/int.22126] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jianping Lu
- School of BusinessSichuan Normal UniversityChengdu P.R. China
| | - Xiyue Tang
- School of BusinessSichuan Normal UniversityChengdu P.R. China
| | - Guiwu Wei
- School of BusinessSichuan Normal UniversityChengdu P.R. China
| | - Cun Wei
- School of StatisticsSouthwestern University of Finance and EconomicsChengdu P.R. China
| | - Yu Wei
- School of FinanceYunnan University of Finance and EconomicsKunming P.R. China
| |
Collapse
|
27
|
Dual Hesitant Pythagorean Fuzzy Heronian Mean Operators in Multiple Attribute Decision Making. MATHEMATICS 2019. [DOI: 10.3390/math7040344] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
On account of the indeterminacy and subjectivity of decision makers (DMs) in complexity decision-making environments, the evaluation information over alternatives presented by DMs is usually fuzzy and ambiguous. As the generalization of intuitionistic fuzzy sets (IFSs), the Pythagorean fuzzy set (PFS) is more useful in expressing fuzzy and ambiguous information. Meanwhile, in order to consider human hesitance, dual hesitant Pythagorean fuzzy sets (DHPFSs) are presented, which can be more valid for handling real multiple attribute decision-making (MADM) problems. To fuse the information in DHPFSs more effectively, in this article, some dual hesitant Pythagorean fuzzy Heronian mean operators, which can consider the relationships between arguments being fused, are defined and studied. Evidently, the new proposed operators can obtain more exact results than other existing methods. In addition, some important properties of these Heronian mean (HM) operators are discussed. Subsequently, the defined aggregation operators are used in MADM with dual hesitant Pythagorean fuzzy numbers (DHPFNs), and the MADM model is developed. In accordance with the defined operators and the built model, the dual hesitant Pythagorean fuzzy generalized weighted Heronian mean (DHPFGWHM) operator and dual hesitant Pythagorean fuzzy generalized geometric weighted Heronian mean (DHPFGGWHM) operator are applied to deal with the green supplier selection in supply chain management, and the availability and superiority of the proposed operators are analyzed by comparing them with some existing approaches. The method presented in this paper can effectively solve the MADM problems in which the decision-making information is expressed by DHPFNs and the attributes are interactive.
Collapse
|