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A Genetic Algorithm-based Construction Mechanism for FCM and Its Empirical Analysis of Decision Support Performance : Emphasis on Solving Corporate Software Sales Problem  

Chung, Nam-Ho (충주대학교 경영학부)
Lee, Nam-Ho (abeam 컨설팅 컨설턴트)
Lee, Kun-Chang (성균관대학교 경영학부)
Publication Information
Korean Management Science Review / v.24, no.2, 2007 , pp. 157-176 More about this Journal
Abstract
Fuzzy cognitive map(FCM) has long been used as an effective way of constructing the human's decision making process explicitly. By taking advantage of this feature, FCM has been extensively used in providing what-if solutions to a wide variety of business decision making problems. In contrast, the goal-seeking analysis mechanism by using the FCM is rarely observed in literature, which remains a research void in the fields of FCM. In this sense, this study proposes a new type of the FCM-based goal-seeking analysis which is based on utilizing the genetic algorithm. Its main recipe lies in the fact that the what-if analysis as well as goal-seeking analysis are enabled very effectively by incorporating the genetic algorithm into the FCM-driven inference process. To prove the empirical validity of the proposed approach, valid questionnaires were gathered from a number of experts on software sales, and analyzed statistically. Results showed that the proposed approach is robust and significant.
Keywords
Fuzzy Cognitive Map(FCM); Genetic Algorithm(GA); Simulation; What-if Analysis; Goal-seeking analysis;
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