2009
DOI: 10.1007/s11269-009-9430-5
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Consideration of Trends in Evaluating Inter-basin Water Transfer Alternatives within a Fuzzy Decision Making Framework

Abstract: Evaluation of water supply schemes is an essential task for meeting the goals of inter-basin water transfer project system management. In general, water supply operation involves multi-objective and multifactor optimization and decision. In recent years, 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. This paper presents a new optimization method using fuzzy pattern recogniti… Show more

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Cited by 26 publications
(5 citation statements)
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References 28 publications
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“…Roozbahani et al (2012) suggest PROMETHEE with Precedence Order in the Criteria (PPOC) with application to group water management decisions for urban water supply systems. Li et al (2009) presents a new optimization method using fuzzy pattern recognition for optimizing water supply network. Karamouz et al (2014) Ranking of alternatives for irrigation planning Data Envelopment Analysis (DEA); PROMETHEE, EXPROM Raju and Kumar (2006) Selecting the best strategies in irrigation area considering environmental, economic and social criteria ELECTRE III Raju and Duckstein (2004) Evaluating management alternatives for irrigation with an emphasis on sustainable development subsystems PROMETHEE-2, EXPROM-2, ELECTRE III, ELECTRE IV, and Compromise Programming (CP) Raju et al (2000) Wastewater Analysis of wastewater allocation scenarios, considering different climate change possibilities TOPSIS Kim et al (2015) End of Table 3 A distinctive feature of the current research is using Geographical Information Systems (GIS) in combination with MCDM techniques for problems related to location.…”
Section: Mcdm Applications In Water Resources Managementmentioning
confidence: 99%
“…Roozbahani et al (2012) suggest PROMETHEE with Precedence Order in the Criteria (PPOC) with application to group water management decisions for urban water supply systems. Li et al (2009) presents a new optimization method using fuzzy pattern recognition for optimizing water supply network. Karamouz et al (2014) Ranking of alternatives for irrigation planning Data Envelopment Analysis (DEA); PROMETHEE, EXPROM Raju and Kumar (2006) Selecting the best strategies in irrigation area considering environmental, economic and social criteria ELECTRE III Raju and Duckstein (2004) Evaluating management alternatives for irrigation with an emphasis on sustainable development subsystems PROMETHEE-2, EXPROM-2, ELECTRE III, ELECTRE IV, and Compromise Programming (CP) Raju et al (2000) Wastewater Analysis of wastewater allocation scenarios, considering different climate change possibilities TOPSIS Kim et al (2015) End of Table 3 A distinctive feature of the current research is using Geographical Information Systems (GIS) in combination with MCDM techniques for problems related to location.…”
Section: Mcdm Applications In Water Resources Managementmentioning
confidence: 99%
“…Therefore, Multicriterion Decision Making (MCDM) has emerged as an effective methodology to be applied due to its ability to combine quantitative and qualitative criteria for selection of the best alternative. The Xi-River-to-Tanghe Reservoir Water Transfer Project System is a very interesting case study using MCDM, as described by Xuesen et al (2009). Also, Mojtaba Sadegh et al (2009) have developed a new methodology based on crisp and fuzzy Shapley games for optimal allocation of inter-basin water resources.…”
Section: Main Issues Facing Transbasin Water-diversion Projectsmentioning
confidence: 99%
“…Tsakiris & Spiliotis 2006), since the problem of water resources management (a) involves several criteria and stakeholders and (b) there is an inherent uncertainty in the water cycle itself. Another important challenge is the application of fuzzy pattern recognition and its connection with multicriteria categorization methods (Xuesen et al 2009;Spiliotis et al 2020), since each point (e.g alternative) could belong to several categories to some degree.…”
Section: Introductionmentioning
confidence: 99%