Open Access
Subscription Access
Open Access
Subscription Access
Adaptation of Fuzzy Reasoning and Rule Generation for Customers? Choice in Retail Fmcg Business
Subscribe/Renew Journal
In todays retail business, ensuring customer satisfaction in delivering the right product and service to the end-users is the major concern for the future growth of the organization. In the present work an attempt is made to model the customer choice in FMCG product design during purchase in retail outlets based on customer survey. Since the behavior of customer cannot be predicted easily due to association of fuzzyness involved, fuzzy reasoning is adapted for modeling such uncertainty along with generation of rules towards product design preference using statistical principle. The results found from this work would be beneficial to the retail management, in general, about customers profile and would help in planning retail business for FMCG items.
Keywords
Customer Choice, Customer Survey, Retail Business, Fuzzy Inference System, Fuzzy Clustering, Classification Tree
User
Information
- Brieman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984), Classification and Regression Trees, Chapman & Hall, NY.
- Homburg, C. (2005), Customers Reactions to Price Increases: Do Customer Satisfaction and Perceived Motive Fairness Matter?, Journal of the Academy of Marketing Science, 33(1): 36-49.
- Jang, J. S. R. (1993), ANFIS: Adaptive Network Based Fuzzy Inference Systems, IEEE Transactions on Systems, 23(3): 665-685.
- Jang, J. S. R., Sun, C. T. and Mizutani, E. (2002), Neuro-Fuzzy and Soft Computing, Prentice-Hall Inc., NJ, USA.
- Kleinsorge, Ilene K., Schary, P. B. and Ray, D. T. (1992), Data Envelopment Analysis for Monitoring Customer-Supplier Relationships, Journal of Accounting and Public Policy, 11(4): 357-372.
- Kuofie, M. and Qaddour, J. (2005), Total Customer Satisfaction: Using an Information System to Assist in Total Quality Management, Journal of Quality, from http://www.thecqi.org/journalofquality/.
- Mamdani, E. H. and Assilian, S. (1975), An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller, International Journal of Man-Machine Studies, 7(1): 1-13.
- Petrick, J. F. (2004), The Roles of Quality, Value and Satisfaction in Predicting Cruise Passengers Behavioural Intentions, Journal of Travel Research, 42(4): 397-407.
- Shimazu, H. (2001), Expert Clerk: Navigating Shoppers Buying Process with the Combination of Asking and Proposing, in Nebel, B. (Ed.) Proceedings of the 17 International Joint Conference on Artificial Intelligence (IJCAI-01), pp. 1443-1448, Morgan Kaufmann, Seattle, Washington, USA.
- Sugeno, M. (1985), Industrial Applications of Fuzzy Control, Elsevier Science Limited, North Holland.
- Sun, C. T. (1994), Rule Based Structure Identification in an Adaptive-network-based Fuzzy Inference System, IEEE Transactions of Fuzzy Systems, 2(1): 64-73.
- Wang, D., Fang, S. and Nuttle, L. W. (1999), Soft Comuting for Multi-customer Due-date Bargaining, IEEE Transactions on Systems, Man, and Cybernetics, Part C, pp. 566-575.
Abstract Views: 588
PDF Views: 1