DocumentCode :
1696241
Title :
A Fuzzy Negotiation Model Based on Bayesian Learning
Author :
Yuying, Wu ; Jinxuan, Lu ; Feng, Yan
Author_Institution :
Beijing Univ. of Technol., Beijing
fYear :
2007
Firstpage :
1239
Lastpage :
1247
Abstract :
We usually decide to accept or reject the offer based on the utility function in the traditional automatic negotiation of E-commerce so that we reject the offers whose utility is lower than a specified value. Here we evaluate the acceptability based on the fuzzy set theory and the membership function. Since different issues have different effect on the negotiators, we state the combined concession in the multi-issue negotiation for the negotiators and negotiator Agent adopts Bayesian learning mechanism to update its beliefs about incomplete information. We put forward a more practical negotiation model than the traditional negotiation model.
Keywords :
belief networks; electronic commerce; fuzzy set theory; Bayesian learning; automatic negotiation; e-commerce; fuzzy negotiation; fuzzy set theory; membership function; multiissue negotiation; utility function; Bayesian methods; Cultural differences; Decision making; Fuzzy set theory; Humans; Internet; Learning systems; Protocols; Software agents; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Engineering and Technology, Portland International Center for
Conference_Location :
Portland, OR
Print_ISBN :
978-1-8908-4315-1
Electronic_ISBN :
978-1-8908-4315-1
Type :
conf
DOI :
10.1109/PICMET.2007.4349447
Filename :
4349447
Link To Document :
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