The basic operations of fuzzy sets, such as negation, intersection, and union, usually are computed by applying the one-complement, minimum, and maximum operators to the membership functions of fuzzy sets. However, different decision agents may have different perceptions for these fuzzy operations.
Fuzzy multicriterion decision making in irrigation planning
β Scribed by K. Srinivasa Raju; D. Nagesh Kumar
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 228 KB
- Volume
- 54
- Category
- Article
- ISSN
- 1531-0353
- DOI
- 10.1002/ird.197
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β¦ Synopsis
Abstract
Multicriterion decision making (MCDM) has emerged as an effective methodology due to its ability to combine quantitative and qualitative criteria for selection of the best alternative. Concurrently, fuzzy logic is gaining importance due to its flexibility in handling imprecise subjective data. In the present study two fuzzy logicβbased MCDM methods, namely similarity analysis (SA) and decision analysis (DA), are adopted and developed as a FUzzy Decision System (FUDS) and applied to a case study of the Sri Ram Sagar Project (SRSP), Andhra Pradesh, India, for selecting the bestβperforming irrigation subsystem. It is found that both SA and DA suggested the same irrigation subsystem as the best. It is concluded that application of fuzzy logic methodology for realβworld decisionβmaking problems is found to be effective. Copyright Β© 2005 John Wiley & Sons, Ltd.
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