Multi-attribute automatic negotiation model based on niche genetic algorithm

Author

Pei-You, Chen ; Yi-Ling, Li

Author_Institution

Coll. of Economic & Manage., Heilongjiang Inst. of Sci. & Technol., Harbin, China

fYear

2010

fDate

26-28 May 2010

Firstpage

3380

Lastpage

3384

Abstract

A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation Agents. Using evidential reasoning algorithms, the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained; considering the incomplete certain information on weight, a nonlinear programming model is developed and the weight of various attribute is obtained. The niche genetic algorithm is proposed to search optimization and improve astringency. Finally, a simulation testing shows the model is a feasible and effective, which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.

Keywords

case-based reasoning; fuzzy set theory; genetic algorithms; negotiation support systems; nonlinear programming; search problems; software agents; evidential reasoning algorithms; interval valued intuitionistic fuzzy sets; multiattribute automatic negotiation model; multicriteria ranking method; negotiation agents; niche genetic algorithm; nonlinear programming model; search optimization; Decision theory; Educational institutions; Electronic commerce; Electronic mail; Fuzzy sets; Genetic algorithms; Power generation economics; Technology management; Testing; Uncertainty; automatic negotiation; bargaining zone; interval-valued intuitionistic fuzzy number; niche genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498579

Filename

5498579