Journal article
Fuzzy cognitive maps with generic algorithm for goal-oriented decision support
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol.12(supp02), pp.31-42
2004
Abstract
Fuzzy cognitive maps are signed directed graphs used to model the evolution of scenarios with time. FCMs can be useful in decision support for predicting future states given an initial state. Genetic algorithms (GA) are well-established tools for optimization. This paper concerns the use of FCMs in goal-directed analysis of scenarios for aiding decision making. A methodology for GA-based goal-directed analysis is presented. The search for the initial stimulus state, that over time leads to a target state of interest, is optimized using GA. This initial state found can be used to answer the question – what course of events leads to a certain state in a given scenario?
Details
- Title
- Fuzzy cognitive maps with generic algorithm for goal-oriented decision support
- Authors/Creators
- M.S. Khan (Author/Creator)S. Khor (Author/Creator)A. Chong (Author/Creator)
- Publication Details
- International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol.12(supp02), pp.31-42
- Publisher
- World Scientific Publishing Co.
- Identifiers
- 991005541259807891
- Copyright
- © 2004 World Scientific Publishing Co Pte Ltd
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 6 Social Sciences
- 6.294 Operations Research & Management Science
- 6.294.2466 Fuzzy Cognitive Maps
- Web Of Science research areas
- Computer Science, Artificial Intelligence
- ESI research areas
- Computer Science