A Multi-Dimensional Trust Model and Fuzzy Decision System for E-Commerce

IJSRD - International Journal for Scientific Research & Development | Sp. Issue - Data Mining 2015 

Author(s):

Afsal Ali , Mar Athanasius College of Engineering; Jisha P Abraham, Mar Athanasius College of Engineering; Surekha Mariyam Varghese, Mar Athanasius College of Engineering

Keywords:
Trust Model, Fuzzy Decision System, E-Commerce

Abstract:

Reputation-based trust models are widely used in E-Commerce applications, and feedback ratings are aggregated to compute sellers reputation trust scores. Based on the observation that buyers often express opinions openly in free text feedback comments, it have proposed Comm Trust, a multi-dimensional trust evaluation model, for computing comprehensive trust profiles for sellers in E-Commerce applications. Different from existing multi-dimensional trust models, here compute dimension trust scores by extracting dimension ratings from feedback comments. Based on the dependency relation parsing technique, it have proposed DR-mining approaches to mine feedback comments for dimension rating profiles. Also when a new product arrives in the E-Commerce application, it doesn’t have any feedback associated with it. Hence it also introduces fuzzy logic into rule definition for preferences of venders and designs a novel agent-based decision system using fuzzy rules and reasoning mechanisms to find the right product from a trustworthy vender according to users preferences.

I. INTRODUCTION

There has been a tremendous growth in E-Commerce applications, where buyers and sellers conduct transactions on the web. Users are attracted to online-shopping not only due to the convenience in accessing the information of items on-sold, but also because of the availability of other buyers feedback on their purchasing experience, item-related and/or seller-related. All major online-shopping websites encourage buyers to provide feedback, often in the form of ratings along with some textual comments, to facilitate potential transactions..View more

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