AI SearchApplication of fuzzy set theory in water resource management
Call Number: AIT SSPR no. WA-89-03 Material type:
TextSeries: Asian Institute of Technology. Special studies project report ; no. WA-89-03Publication details: Bangkok : Asian Institute of Technology, 1989Description: 36 leaves + 1 online resourceSubject(s): Online resources: Dissertation note: Special Studies Project Report - Asian Institute of Technology, 1989 Summary: This study reviews the fuzzy set theory, a relatively new concept, which has been identified as yet another mathematical tool u sed in water resource systems analysis. Two facets of this theory, known as decision making in fuzzy environment and fuzzy inference theory, deemed useful in water resources system studies are presented along with the examples of real-world applications. The concept seems to be potentially promising in those systems where available data set are known to be fuzzy and human experience and judgment play integral part in the process of analysis and d e cis ion making. The points requiring more cautious attention in the formulation of fuzzy models have also been discussed.
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20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT SSPR no. WA-89-03 (Browse shelf(Opens below)) | 1 | Available | 30050003081691 | |||||||||||||
22-AIT Thesis (Replacement)
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Asian Institute of Technology Library AIT Publications | AIT SSPR no. WA-89-03 (Browse shelf(Opens below)) | 3 | Available | 30050120617567 | |||||||||||||
40-Archives
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Asian Institute of Technology Library Archives | AIT SSPR no. WA-89-03 (Browse shelf(Opens below)) | 1 | Available | 30050160062062 |
A special study submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering, School of Engineering and Technology
Special Studies Project Report - Asian Institute of Technology, 1989
This study reviews the fuzzy set theory, a relatively new concept, which has been identified as yet another mathematical tool u sed in water resource systems analysis. Two facets of this theory, known as decision making in fuzzy environment and fuzzy inference theory, deemed useful in water resources system studies are presented along with the examples of real-world applications. The concept seems to be potentially promising in those systems where available data set are known to be fuzzy and human experience and judgment play integral part in the process of analysis and d e cis ion making. The points requiring more cautious attention in the formulation of fuzzy models have also been discussed.
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