Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain

Evolutionary game of inland shipping pollution control under government co-supervision

In the context of the environmental improvement of inland shipping, this paper studies the interaction mechanism of tripartite behavioral strategy selection among the upstream and downstream governments and shipping companies in neighboring provinces. This paper constructs a tripartite evolutionary game model that introduces the prospect theory, and verifies numerical examples in combination with system dynamics simulation methods. Therefore, this study discusses the influence of evolutionary stability strategies on the development of electric ship industry. The results show that in order to realize effective governance of inland shipping pollution, the optimal evolutionary stability strategies of the three stakeholders should be as follows: active supervision in both upstream and downstream governments, and using clean energy in shipping companies. The improvement of the initial probability and risk preference of the three parties is conducive to promoting the faster and more stable industrial development, while reasonable profit distribution coefficient and compensation cost can promote the benign development of the inland river environmental governance system. In addition, the probability of upstream and downstream governments and shipping companies choosing the optimal strategies is positively related to the government fines, and negatively related to the regulatory costs. In particular, the application of prospect theory makes the result of evolutionary equilibrium more obvious.

A MAGDM Algorithm with Multi-Granular Probabilistic Linguistic Information

The traditional multi-attribute group decision making (MAGDM) method needs to be improved to the integration of assessment information under multi-granular probabilistic linguistic environments. Some novel distance measures between two multi-granular probabilistic linguistic term sets (PLTSs) are proposed, and distance measures are proved to be reasonable. To calculate the weights of the alternative attributes, the extended cross-entropy method for multi-granular probabilistic linguistic term sets is proposed. Then, a novel extended MAGDM algorithm based on prospect theory (PT) is proposed. Two case studies of decision making (DM) on purchasing a car is provided to illustrate the application of the extended MAGDM algorithm. The case analyses are proposed to illustrate the novelty, feasibility, and application of the proposed MAGDM algorithm by comparing the other three algorithms based on TOPSIS, VIKOR, and Pang Qi et al.’s method. The analyses results demonstrate that the proposed algorithm based on PT is superior.