The Fuzzy Decision Operations for Satisfying the Criteria of Customer Satisfaction

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Jugendra Dongre


Customer relationship management (CRM) has emerged as a prominent aspect of business. In this respect, one of the notable developments of quality movement is an assessment of the customer satisfaction. The fuzzy rule based decision support system may be used as customer satisfaction rating system is useful where simple linear relationships do not subsist, where attribute evaluations are highly correlated and where some ability to make legal opinions in the context of the specific application is needed. In this paper, we are concentrating on the relationship between the costs of recharge coupon and talk time and validity and then analysis of consequence in the context of client satisfaction. So that at the base of this scheme we can select a profitable and customer satisfied recharge coupon of a mobile telecommunication company. This report introduces an approach to evaluate the character and reliability related customer satisfaction from recharge coupon and talk time data at each individual customer level and fuzzy logic will help us to resolve the customer satisfaction data. Finally a fuzzy logic approach is employed to construct the satisfaction model.

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How to Cite
, J. D. (2018). The Fuzzy Decision Operations for Satisfying the Criteria of Customer Satisfaction. International Journal on Recent and Innovation Trends in Computing and Communication, 6(6), 201–205.