A multi-sensor decision fusion scheme is presented in which the probabilities associated with the local sensor decisions are known to vary in a nonrandom fashion around their design values. The uncertainties associated with the local decisions are modeled by means of fuzzy sets. A Bayesian approach
A fuzzy compromise approach to water resource systems planning under uncertainty
β Scribed by Michael J. Bender; Slobodan P. Simonovic
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 111 KB
- Volume
- 115
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
A fuzzy compromise approach to decision analysis is described within the context of water resource systems planning under uncertainty. The approach allows various sources of uncertainty and is intended to provide a exible form of group decision support. The example compares the ELECTRE method with the fuzzy compromise approach. The comparison is intended to demonstrate the beneΓΏts of adopting a multicriteria decision analysis technique which presents subjectivity within its proper context while maintaining an intuitive and transparent technique for ranking alternatives. The fuzzy compromise approach allows a family of possible conditions to be reviewed, and supports group decisions through fuzzy sets designed to re ect collective opinions and con icting judgements. Ranking of alternatives is accomplished with fuzzy ranking measures designed to illustrate the e ect of risk tolerance di erences among decision makers. Two distinct ranking measures are useda centroid measure, and a fuzzy comparison measure based on a fuzzy goal.
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