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Erschienen in: Water Resources Management 12/2014

01.09.2014

A New Integrated MADM Technique Combined with ANP, FTOPSIS and Fuzzy Max-Min Set Method for Evaluating Water Transfer Projects

verfasst von: S. L. Razavi Toosi, J. M. V. Samani

Erschienen in: Water Resources Management | Ausgabe 12/2014

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Abstract

In sustainable water resources management, it is essential to rank inter-basin water transfer projects. This task is difficult due to many different conflict criteria, complex relations among criteria and various judgments of decision makers. In this paper, an integrated multiple attribute group decision making method consists of ANP (Analytical Network Process), fuzzy TOPSIS and fuzzy max-min set methods is proposed for evaluating water transfer projects. A set of over 60 criteria in social, environmental and economic sectors are used for ranking four water transfer projects in Karun River based on three decision maker judgments. A key novelty of the proposed methodology is its ability to model both complex relations among different criteria in water management and the influence of decision maker judgments’ weights on the final ranking in group decision making problem. The procedure starts by obtaining the priority of water transfer projects and the weight of each decision maker judgments by employing ANP and fuzzy TOPSIS, respectively. These weights are used as inputs in the fuzzy max-min set method. Then the effects of decision maker weights on the final ranking are determined in fuzzy environment. Finally, the sensitivity analysis of decision makers’ weights has been conducted. The results show that the proposed method is an effective tool for group decision making problems by considering different criteria and decision makers’ weights.

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Metadaten
Titel
A New Integrated MADM Technique Combined with ANP, FTOPSIS and Fuzzy Max-Min Set Method for Evaluating Water Transfer Projects
verfasst von
S. L. Razavi Toosi
J. M. V. Samani
Publikationsdatum
01.09.2014
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 12/2014
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-014-0742-8

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