Abstract—The main aim of this paper is to develop a generalized decision system using rough set theory and fuzzy distance based approach for the determination of most saleable product in any commercial store. An information system has been presented in this article which consists of various factors like the price, stock available, discount rate available and the quality of the product which are essential for the evaluation of most saleable product. Rough set theory has been applied to generate fuzzy decision rules and hence to obtain the basic requirement criteria for the sale of the products. The customers have stated their opinion about the respective products that he or she has purchased linguistically. A relationship has been established between the purchased products of the respective customers and the customer opinions about the corresponding products using the fuzzy subset representation. The index of fuzziness of various customer opinions are measured and compared. Finally, a decision system has been developed using fuzzy distance approach for finding the most saleable product of the commercial store.
Index Terms—Rough Sets, Fuzzy Sets, Soft computing, Fuzzy Distance Approach, Fuzzy Opinion matrix Approach.
The Author is currently with Dr. B.C Roy Engineering College, Durgapur, West Bengal, India as Sr. Lecturer of Computer Science & Engineering department.(e-mail:ss_sarkar2000@yahoo.co.in)
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Cite: Suvobrata Sarkar, "A Decision System for Commercial Products using Rough-Fuzzy Hybridization,"
International Journal of Computer Theory and Engineering vol. 2, no. 3, pp. 374-379, 2010.
