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Morente-Molinera J, Morfeq A, Al-Hmouz R, Ashary E, Su J, Herrera-Viedma E. Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Xu C, Liu W, Chen Y. A DES-based group decision model for group decision making with large-scale alternatives. APPL INTELL 2021. [DOI: 10.1007/s10489-021-02950-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Huang X, Chen HZ, Ma P, Wang WM, Cai X, Nafis M. A two-sided matching model for complex equipment production of military–civilian merging platform with reference effects. Soft comput 2021. [DOI: 10.1007/s00500-021-05731-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Wan SP, Chen ZH, Dong JY. An integrated interval type-2 fuzzy technique for democratic–autocratic multi-criteria decision making. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2020.106735] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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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: 0.3] [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.
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