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
Link To Document :
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