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Fuzzy Logic Based Negotiation in E-Commerce

The evolution of multi-agent system (MAS) presents new challenges in computer science and software engineering. A particularly challenging problem is the design of various forms of interaction among agents. Interaction may be aimed at enabling agents to coordinate their activities, cooperate to reac...

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Main Author: TAHIR ATEIB, MOUSTAPHA
Format: Thesis
Language:English
Published: 2011
Online Access:http://utpedia.utp.edu.my/2835/1/mustapha_24-01-2011-8pm.pdf
http://utpedia.utp.edu.my/2835/
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spelling my-utp-utpedia.28352017-01-25T09:42:49Z http://utpedia.utp.edu.my/2835/ Fuzzy Logic Based Negotiation in E-Commerce TAHIR ATEIB, MOUSTAPHA The evolution of multi-agent system (MAS) presents new challenges in computer science and software engineering. A particularly challenging problem is the design of various forms of interaction among agents. Interaction may be aimed at enabling agents to coordinate their activities, cooperate to reach common objectives, or exchange resources to better achieve their individual objectives. This thesis is dealing with negotiation in e-commerce: a process through which multiple self-interested agents can reach agreement over the exchange of scarce resources. In particular, we present a fuzzy logic-based negotiation approach to automate multi-issue bilateral negotiation in e-marketplaces. In such frameworks issues to negotiate on can be multiple, interrelated, and may not be fixed in advance. Therefore, we use fuzzy inference system to model relations among issues and to allow agents express their preferences on them. We focus on settings where agents have limited or uncertain information, ruling them out from making optimal decisions. Since agents make decisions based on particular underlying reasons, namely their interests, beliefs then applying logic (by using fuzzy logic) over these reasons can enable agents to refine their decisions and consequently reach better agreements. I refer to this form of negotiation as: Fuzzy logic based negotiation in e-commerce. The contributions of the thesis begin with the use of fuzzy logic to design a reasoning model through which negotiation tactics and strategy are expressed throughout the process of negotiation. Then, an exploration of the differences between this approach and the more traditional bargaining-based approaches is presented. Strategic issues are then explored and a methodology for designing negotiation strategies is developed. Finally, the applicability of the framework is simulated using MATLAB toolbox. 2011 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/2835/1/mustapha_24-01-2011-8pm.pdf TAHIR ATEIB, MOUSTAPHA (2011) Fuzzy Logic Based Negotiation in E-Commerce. Masters thesis, UTP.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description The evolution of multi-agent system (MAS) presents new challenges in computer science and software engineering. A particularly challenging problem is the design of various forms of interaction among agents. Interaction may be aimed at enabling agents to coordinate their activities, cooperate to reach common objectives, or exchange resources to better achieve their individual objectives. This thesis is dealing with negotiation in e-commerce: a process through which multiple self-interested agents can reach agreement over the exchange of scarce resources. In particular, we present a fuzzy logic-based negotiation approach to automate multi-issue bilateral negotiation in e-marketplaces. In such frameworks issues to negotiate on can be multiple, interrelated, and may not be fixed in advance. Therefore, we use fuzzy inference system to model relations among issues and to allow agents express their preferences on them. We focus on settings where agents have limited or uncertain information, ruling them out from making optimal decisions. Since agents make decisions based on particular underlying reasons, namely their interests, beliefs then applying logic (by using fuzzy logic) over these reasons can enable agents to refine their decisions and consequently reach better agreements. I refer to this form of negotiation as: Fuzzy logic based negotiation in e-commerce. The contributions of the thesis begin with the use of fuzzy logic to design a reasoning model through which negotiation tactics and strategy are expressed throughout the process of negotiation. Then, an exploration of the differences between this approach and the more traditional bargaining-based approaches is presented. Strategic issues are then explored and a methodology for designing negotiation strategies is developed. Finally, the applicability of the framework is simulated using MATLAB toolbox.
format Thesis
author TAHIR ATEIB, MOUSTAPHA
spellingShingle TAHIR ATEIB, MOUSTAPHA
Fuzzy Logic Based Negotiation in E-Commerce
author_facet TAHIR ATEIB, MOUSTAPHA
author_sort TAHIR ATEIB, MOUSTAPHA
title Fuzzy Logic Based Negotiation in E-Commerce
title_short Fuzzy Logic Based Negotiation in E-Commerce
title_full Fuzzy Logic Based Negotiation in E-Commerce
title_fullStr Fuzzy Logic Based Negotiation in E-Commerce
title_full_unstemmed Fuzzy Logic Based Negotiation in E-Commerce
title_sort fuzzy logic based negotiation in e-commerce
publishDate 2011
url http://utpedia.utp.edu.my/2835/1/mustapha_24-01-2011-8pm.pdf
http://utpedia.utp.edu.my/2835/
_version_ 1739830965144911872
score 13.211869

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