Comparing multi-criteria models for ranking the Performance of India's water supply utilities

被引：0
|
作者：
Srivastava, Akanksha [1 ]
Parmar, Dipteek [1 ]
Pamucar, Dragan [2 ,3 ,4 ]
机构：
[1] Harcourt Butler Tech Univ, Dept Civil Engn, Kanpur 208002, Uttar Pradesh, India
[2] Univ Def, Dept Logist, Belgrade, Serbia
[3] Univ Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia
[4] Yuan Ze Univ, Coll Engn, Taoyuan, Taiwan
来源：
UTILITIES POLICY | 2023年 / 84卷
关键词：
Water supply systems; Multi-criteria decision making; Decision making; Alternatives; Ratio analysis; MOORA; MAIRCA; ranking; DATA ENVELOPMENT ANALYSIS; DECISION-MAKING; MOORA METHOD; BENCHMARKING; OPTIMIZATION; MANAGEMENT; SERVICES;
D O I：
10.1016/j.jup.2023.101652
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Correct performance evaluation and ranking of water utilities involve several conflicting objectives. The solution to such problems can be obtained using multi-criteria decision-making (MCDM) techniques. However, the results of most of these methods are affected by the weights assigned to the criteria and the normalization process used in the development of the evaluation matrix. This study addressed these limitations by comparing two relatively new MCDM methods, MOOORA and MAIRCA, for ranking urban water utilities in India. Both methods were illustrated for ranking 20 urban water supply utilities in India based on 13 indicators.
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页数：10
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