Paper Info
Title
Sellers in e-marketplaces: A Fuzzy Logic based decision support system.
Abstract
Web business models typically rely on environments where entities, not known in advance, try to negotiate and agree on the purchase of products. Such environments are termed Electronic Markets (EMs). In EMs there are two main groups of entities: the buyers and the sellers. Intelligent agents can play the role of buyers and sellers as delegates of them. Agents, acting autonomously, can guarantee the efficiency in the discovery of items of interest to the buyer. The interaction between buyers and sellers can be modeled as a zero knowledge negotiation. In this paper, we discuss basic characteristics of the negotiation and define a decision support mechanism for sellers. We focus on bilateral single issue negotiations between a buyer and a seller. The proposed decision making mechanism is based on Fuzzy Logic (FL) in order to handle uncertainty in the negotiation process. The seller, at every negotiation round, receives the buyer’s offer and decides her course of actions. In this setting, we consider that no knowledge on the strategies that entities follow is available. The seller uses fuzzy inference rules in order to decide if she is going to accept or reject the offer of the buyer at every round. Compared with other relevant schemes, our approach demonstrates increased efficiency by raising the utility that the seller obtains through negotiations.
Year
DOI
Venue
2014
10.1016/j.ins.2014.03.052
Information Sciences
Keywords
Field
DocType
Negotiation,Fuzzy Logic
Intelligent agent,Fuzzy logic,Decision support system,Fuzzy inference rules,Operations research,Electronic markets,Business model,Artificial intelligence,Zero-knowledge proof,Machine learning,Mathematics,Negotiation
Journal
Volume
ISSN
Citations 
278
0020-0255
4
PageRank 
References 
Authors
0.40
36
3
Name
Order
Citations
PageRank
Kostas Kolomvatsos129930.48
Christos-Nikolaos Anagnostopoulos2103491.30
Stathes Hadjiefthymiades380976.76