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An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce

Acampora, Giovanni and Alghazzawi, Daniyal and Hagras, Hani and Vitiello, Autilia (2016) 'An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce.' Information Sciences, 333. pp. 88-107. ISSN 0020-0255

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During the last two decades, the Internet has changed people's habits and improved their daily life activities and services. In particular, the emergence of e-commerce provided manufactures and vendors with more business opportunities. This allowed customers to benefit from a global, quicker and cheaper shopping environment. However, e-commerce is evolving from a centralised approach, where consumers directly purchase products and services from businesses, to a Peer-to-Peer (P2P) perspective, in which customers buy and sell goods amongst themselves. In P2P scenarios, it is crucial to protect both buyers and sellers (the peers) from being victimised by possible fraud arising from the uncertainties, vagueness and ambiguities that characterise the interactions amongst unknown business entities. For this reason, the so-called reputation models are becoming a key architectural component of any e-commerce portal. These systems are intended to evaluate the basic features of each entity (buyer, seller, goods, etc.) involved in a given trading transaction in order to assess the trust level of the given transaction and minimise fraud. However, in spite of their wide deployment, the reputation models need to be enhanced to handle the various sources of uncertainties in order to produce more accurate outputs which will allow to increase the trust and decrease the fraud levels within e-commerce systems. In this paper, we present an interval type-2 fuzzy logic based framework for reputation management in (P2P) e-commerce which is capable of better handling the faced uncertainties. We have carried out various experiments based on eBay®-like transaction datasets which have shown that the proposed type-2 fuzzy logic based system can provide better performance (in terms of malicious peer detection and exchanged message overhead) when compared to the other well-known and heavily used approaches like the eBay® approach, EigenTrust, PeerTrust as well as the type-1 fuzzy based counterpart approach.

Item Type: Article
Uncontrolled Keywords: Type-2 fuzzy sets; E-commerce; Trust management; Reputation management systems
Subjects: H Social Sciences > HF Commerce
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 20 Nov 2015 14:33
Last Modified: 23 Sep 2022 18:30

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