Title :
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
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;
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
DOI :
10.1109/CCDC.2010.5498579