DocumentCode
226925
Title
A fuzzy logic based bargaining model in discrete domains: Axiom, elicitation and property
Author
Jieyu Zhan ; Xudong Luo ; Cong Feng ; Wenjun Ma
Author_Institution
Inst. of Logic & Cognition, Sun Yat-sen Univ., Guangzhou, China
fYear
2014
fDate
6-11 July 2014
Firstpage
424
Lastpage
431
Abstract
This paper builds a multi-demand bargaining model based on fuzzy rules, and introduces its agreement concept, which satisfies four intuitive properties of consistency, collective rationality, disagreement and minimum concession. In the model, the fuzzy rules are used to calculate how much bargainers should change their preference during a bargaining. Moreover, the psychological experiment are used to elicit the fuzzy rules. In addition, we analyse how bargainers´ risk attitude, patience and regret degree influence agreement of our bargaining game, and identify the existence conditions of bargaining agreement.
Keywords
fuzzy logic; fuzzy set theory; game theory; psychology; axiom; bargaining game; collective rationality; consistency; disagreement; discrete domains; elicitation; fuzzy logic based bargaining model; fuzzy rules; minimum concession; multidemand bargaining model; patience analysis; property; regret degree influence agreement analysis; risk attitude analysis; Computational modeling; Educational institutions; Fuzzy logic; Games; Pragmatics; Psychology; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891778
Filename
6891778
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