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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.9 No.4
- 발행연도
- 2009.12
- 수록면
- 249 - 254 (6page)
이용수
초록· 키워드
오류제보하기
The today’s decision making tasks in globalized business and manufacturing become more complex, and ill-defined, and typically multiaspect or multi-discipline due to many influencing factors. The requirement of obtaining fast and reliable decision solutions further complicates the task. Intelligent decision support system (DSS) currently exhibit wide spread applications in business and manufacturing because of its ability to treat ill-structuredness and vagueness associated with complex decision making problems. For multi-dimensional decision problems, generally an optimum single DSS can be developed. However, with an increasing number of influencing dimensions, increasing number of their factors and relationships, complexity of such a system exponentially grows. As a result, software development and maintenance of an optimum DSS becomes cumbersome and is often practically unfeasible for real situations. This paper presents a technically feasible approximation of an optimum DSS through decreasing its complexity by a modular structure. It consists of multiple DSSs, each of which contains the homogenous knowledge’s, decision making tools and possibly expertise’s pertaining to a certain decision making dimension. Simple, efficient and practical integration mechanism is introduced for integrating the individual DSSs within the proposed overall DSS architecture.
목차
Abstract
1. Introduction
2. Why multiple DSSs?
3. The Proposed Approximation of the Optimum DSS
4. Formulating the DSSs’ integration problem
5. An aggregation heuristic for integrating the DSSs
7. Conclusion
References
참고문헌 (9)
참고문헌 신청
1. [학술지(정기간행물)] - S. Aly / 2006 / Integrating Multiple Fuzzy Expert System under Restricting Requirements / Agriculture Economics 52 (4)
2. [학술대회논문] - S. Aly / 2008 / An Intelligent Decision Support System for Environmental Impact Assessment of Industrial Projects / International Congress on Environmental Modeling and Software
3. [학술지(정기간행물)] - U. Cortès / 2000 / Artificial Intelligence and Environmental Decision SupportSystems / Applied Intelligence 13 (1)
4. [학술지(정기간행물)] - X. Liu / 2006 / Consensus oriented fuzzified decision support for oil spill contingency management / Journal of Hazardous Materials 134 (1) : 27 ~ 35
5. [학술지(정기간행물)] - M. Matthies / 2007 / Environmental decision support systems: Current issues, methods and tools / Environmental Modeling & Software 22 (2) : 123 ~ 127
2. [학술대회논문] - S. Aly / 2008 / An Intelligent Decision Support System for Environmental Impact Assessment of Industrial Projects / International Congress on Environmental Modeling and Software
3. [학술지(정기간행물)] - U. Cortès / 2000 / Artificial Intelligence and Environmental Decision SupportSystems / Applied Intelligence 13 (1)
4. [학술지(정기간행물)] - X. Liu / 2006 / Consensus oriented fuzzified decision support for oil spill contingency management / Journal of Hazardous Materials 134 (1) : 27 ~ 35
5. [학술지(정기간행물)] - M. Matthies / 2007 / Environmental decision support systems: Current issues, methods and tools / Environmental Modeling & Software 22 (2) : 123 ~ 127
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