Title :
A lie-resisting evaluation and decision method in virtual enterprise
Author :
Liu, Yajun ; Wang, Xingyu
Author_Institution :
East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
In real applications of the virtual enterprise, there are many lies when agents negotiate with each other about tasks and rewards. To resist the lies, a general evaluation and decision model and a correspondent method are proposed. Negotiation data are not always trusted but evaluated by means of fuzzy reasoning to decide whether and how much we should rely on it. Because fuzzy rules are obtained based on data mining in former evaluation and decision data, the method is objective. Experiments demonstrate that the model is suitable and the method is effective and reliable.
Keywords :
business data processing; data mining; fuzzy logic; genetic algorithms; inference mechanisms; multi-agent systems; uncertainty handling; agent negotiation lies; data mining; decision model; evaluation model; experiments; fuzzy reasoning; fuzzy rules; genetic algorithm; multi-agent system; virtual enterprise; Data mining; Fuzzy reasoning; Genetics; Resists; Virtual enterprises;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021461
