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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2004.2
- 수록면
- 134 - 149 (16page)
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이 논문의 연구 히스토리 (3)
2004
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This paper is aimed at proposing a fuzzy inference mechanism to enhancing the quality of cognitive map-based inference. Its main virtue lies in the two mechanisms: (1) a mechanism for avoiding a synchronization problem which is often observed during inference process with traditional cognitive map, and (2) a mechanism for fuzzifying decision maker's subjective judgment. Our proposed fuzzy inference mechanism (FIM) is basically based on the cognitive map stratification algorithm which can stratify a cognitive map into number of strata and then overcome the synchronization problem successfully. Besides, the proposed FIM depends on fuzzy membership function which is administered by decision maker. With an illustrative B2B negotiation problem, we applied the proposed FIM, deducing theoretical and practical implications. Implementation was conducted by Matlab language.
목차
Abstract
1. Introduction
2. Synchronization Problem
3. Stratification Algorithm
4. Proposed FIM
5. Concluding Remarks
Acknowledgment
References
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