Korean Management Science Review (경영과학)

The Korean Operations Research and Management Science Society (한국경영과학회)
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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

유전자 알고리즘을 이용한 퍼지인식도 생성 메커니즘의 의사결정 효과성에 관한 실증연구 : 기업용 소프트웨어 판매 문제를 중심으로

  • Published : 2007.11.30
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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

References

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