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