Paper Info
Title
A Fuzzy-Based Approach for Partner Selection in Multi-Agent Systems
Abstract
Traditional negotiation approaches pay intensive attention to decision making models in order to reach the optimal agreements, while placing insufficient efforts on the problem of partner selection. In this paper, a fuzzy-based approach for partner selection in multi-agent systems is proposed. By employing both the fuzzy logic and the extended dual concern model, agents can adapt their individual behaviors for partner selection in negotiation. The proposed approach has three merits, which are: (1) both the agent's own benefit and its potential partners' benefits are considered for partner selection in negotiation; (2) by employing the extended dual concern model, agents' attitudes to its potential partners are considered for partner selection in negotiation; and (3) by employing the fuzzy logic, the proposed partner selection approach can be applied in open and dynamic environments easily and flexibly, and the selection results are much more accurate and reasonable.
Year
DOI
Venue
2007
10.1109/ICIS.2007.21
ACIS-ICIS
Keywords
Field
DocType
fuzzy set theory,fuzzy reasoning,agent negotiation,knowledge based systems,decision making,fuzzy rule base,decision making model,partner,multi-agent systems,extended dual concern model,approximate reasoning,fuzzy logic,partner selection,multiagent system negotiation,selection,resource management,computer science,collaboration,multi agent system,game theory,software engineering,multi agent systems,multiagent systems
Decision-making models,Resource management,Computer science,Fuzzy logic,Knowledge-based systems,Operations research,Fuzzy set,Multi-agent system,Game theory,Artificial intelligence,Negotiation
Conference
ISBN
Citations 
PageRank 
0-7695-2841-4
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Fenghui Ren115320.05
Minjie Zhang225530.01
Quan Bai3285.67