Fuzzy Bilateral Matchmaking in e-Marketplaces

Authors:
Azzurra Ragone;Umberto Straccia;Fernando Bobillo;Tommaso Noia;Eugenio Sciascio
Affiliations:
University of Michigan, Ann Arbor, USA and SisInfLab, Politecnico di Bari, Bari, Italy;ISTI-CNR, Pisa, Italy;Department of Computer Science and Artificial Intelligence, University of Granada,;SisInfLab, Politecnico di Bari, Bari, Italy;SisInfLab, Politecnico di Bari, Bari, Italy
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Year:
2008

Citing 9
Cited 2

Strategic negotiation in multiagent environments

Strategic negotiation in multiagent environments
Negotiating complex contracts

Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Negotiating over small bundles of resources

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A decentralized bargaining protocol on dependent continuous multi-issue for approximate pareto optimal outcomes

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Allocation of indivisible goods: a general model and some complexity results

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Propositional-logic approach to one-shot multi issue bilateral negotiation

ACM SIGecom Exchanges
A logic-based framework to compute Pareto agreements in one-shot bilateral negotiation

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A computational model of logic-based negotiation

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A scheme for integrating concrete domains into concept languages

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1

Reasoning with the finitely many-valued Łukasiewicz fuzzy Description Logic SROIQ

Information Sciences: an International Journal
Top-k retrieval for ontology mediated access to relational databases

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a request, use utility values computed w.r.t. Pareto agreements to rank a set of offers. In particular, we introduce an expressive Fuzzy DL, extended with concrete domains in order to handle numerical, as well as non numerical features, and to deal with vagueness in buyer/seller preferences. Hence, agents can express preferences as e.g.I am searching for a passenger car costing about 22000茂戮驴 yet if the car has a GPS system and more than two-year warranty I can spend up to 25000茂戮驴. Noteworthy our matchmaking approach, among all the possible matches, chooses the mutually beneficial ones.