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Adaptation of Fuzzy Reasoning and Rule Generation for Customers? Choice in Retail Fmcg Business


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1 SQC & OR Unit Indian Statistical Institute 203, B.T. Road, Kolkata - 700108
     

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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
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  • Adaptation of Fuzzy Reasoning and Rule Generation for Customers? Choice in Retail Fmcg Business

Abstract Views: 152  |  PDF Views: 1

Authors

Prasun Das
SQC & OR Unit Indian Statistical Institute 203, B.T. Road, Kolkata - 700108

Abstract


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

References