Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1111
Title: Ranking multi-criterion river basin planning alternatives using fuzzy numbers
Authors: P. Anand Raj and, D. Nagesh Kumar
Keywords: Basin planning
Decision making
Fuzzy numbers
Maximizing set
Issue Date: 1998
Publisher: Elsevier Science
Citation: 10.1016/s0165-0114(97)00091-2
Abstract: The methodology proposed by Anand Raj and Nagesh Kumar [5] to rank the river basin planning and development alternatives under multi-criterion environment using fuzzy numbers is applied to a case study. The purpose is to find the most suitable planning of reservoirs with their associated purposes aimed at the development of one of the major peninsular river basins (Krishna river basin) in India. A set of 7 alternative systems with 8 main objectives, which are further subdivided into 18 criteria, are considered for ordering or ranking them employing the opinion (preference structure) of three experts: an acadamician, a field engineer and an official from Ministry of Water Resources, using fuzzy numbers. The fuzzy weights (wl) of alternatives (Ai) are computed using standard fuzzy arithmetic. The concepts of maximizing set and minimizing set are introduced to decide total utility or order value of each of the alternatives
URI: http://localhost:8080/xmlui/handle/123456789/1111
Appears in Collections:Civil Engineering

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