A two-sided gaming model for large-scale stable matching in sharing economy based on the probabilistic linguistic term sets

Author:

Tong Huagang1,Zhu Jianjun1,Yi Yang1

Affiliation:

1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Abstract

Sharing economy is significant for economic development, stable matching plays an essential role in sharing economy, but the large-scale sharing platform increases the difficulties of stable matching. We proposed a two-sided gaming model based on probabilistic linguistic term sets to address the problem. Firstly, in previous studies, the mutual assessment is used to obtain the preferences of individuals in large-scale matching, but the procedure is time-consuming. We use probabilistic linguistic term sets to present the preferences based on the historical data instead of time-consuming assessment. Then, to generate the satisfaction based on the preference, we regard the similarity between the expected preferences and actual preferences as the satisfaction. Considering the distribution features of probabilistic linguistic term sets, we design a shape-distance-based method to measure the similarity. After that, the previous studies aimed to maximize the total satisfaction in matching, but the individuals’ requirements are neglected, resulting in a weak matching result. We establish the two-sided gaming matching model from the perspectives of individuals based on the game theory. Meanwhile, we also study the competition from other platforms. Meanwhile, considering the importance of the high total satisfaction, we balance the total satisfaction and the personal requirements in the matching model. We also prove the solution of the matching model is the equilibrium solution. Finally, to verify the study, we use the experiment to illustrate the advantages of our study.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference36 articles.

1. Stable two-sided matching decision making with incomplete fuzzy preference relations: A disappointment theory based approach;Zhang;Applied Soft Computing Journal,2019

2. Satisfied two-sided matching: a method considering elation and disappointment of agents;Fan;Soft Computing,2018

3. Two-Sided Matching for Triangular Intuitionistic Fuzzy Numbers in Smart Environmental Protection;Yue;IEEE Access,2019

4. Evaluating business environment in Africa using grey number weights;Esangbedo;Journal of Grey System,2016

5. Li Y. and Zhang D. , Multi-attribute Group Grey Target Decision-making Method Based on Three-parameter Interval Grey Number, Journal of Grey System 32 (2020).

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