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http://dx.doi.org/10.9708/jksci.2010.15.1.219

Fuzzy Inference System Architecture for Customer Satisfaction Service  

Kwon, Hee-Chul (경원대학교 산업정보시스템공학과)
Yoo, Jung-Sang (경원대학교 산업정보시스템공학과)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.1, 2010 , pp. 219-226 More about this Journal
Abstract
Recently most parking control systems provide customers with various services, but most of the services are just the extension of parking spaces, automatic parking control system and so on. It is essential to use the satisfaction degree as the extent that customer are satisfied with parking control system to improve the quality of the system services and diversify the system services. The degree of satisfaction is different from customer to customer in same condition and can be represented as linguistic variables. In this paper, we present therefore a technique that quantify how much customer are satisfied with parking control system and fuzzy inference system architecture as a solution that can help us to make a efficient decision for these parking problems. In this architecture, inference engine using fuzzy logic compares context data with the rules in the fuzzy rule-based system, gets the sub-results, aggregates them and defuzzifies the aggregated result using MATLAB application programming to obtain crisp value. Fuzzy inference system architecture presented in this paper, can be used as a efficient method to analyze the satisfaction degree which is represented as fuzzy linguistic variables by human emotion. And it can be used to improve the satisfaction degree of not only parking system but also other service systems of various domains.
Keywords
Intelligent Parking; Customer Satisfaction Service; Fuzzy Inference; Rule based; Context Information;
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Times Cited By KSCI : 2  (Citation Analysis)
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