Two-Sided Matching Decision-Making with Uncertain Information Under Multiple States

Chen Shengqun (), Wang Yingming (), Shi Hailiu (), Lin Yang () and Li Meijuan ()
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Chen Shengqun: School of Electronic Information Science, Fujian Jiangxia University, Fuzhou, 350108, China
Wang Yingming: Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
Shi Hailiu: School of Electronic Information Science, Fujian Jiangxia University, Fuzhou, 350108, China
Lin Yang: Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
Li Meijuan: School of Electronic Information Science, Fujian Jiangxia University, Fuzhou, 350108, China

Journal of Systems Science and Information, 2016, vol. 4, issue 2, 186-194

Abstract: A novel decision-making method based on evidential reasoning is proposed for solving the two-sided matching problem with uncertain information under multiple states in this paper. Firstly, the discernment frame of evidence is constructed for two-sided matching. Secondly, the preference ordinal values given by two-sided decision-makers are transformed into rank belief degrees. On this basis, and with two-sided satisfaction as the goal, two-sided rank belief degrees are taken as pieces of evidence, and satisfaction degrees of two-sided matching are obtained through evidence fusion. Then, a decision-making model based on satisfaction degrees is constructed in order to obtain the matching solution. Finally, an illustrative example demonstrates the application of the proposed approach.

Keywords: matching decision-making; uncertain information; multiple states; evidence fusion (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:4:y:2016:i:2:p:186-194:n:7

DOI: 10.21078/JSSI-2016-186-09

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