A Fuzzy TOPSIS model Framework for Ranking Sustainable Water Supply Alternatives

Onu, U. Pascal; Xie, Qiuhong; Li, Xu

doi:10.1007/s11269-017-1636-3

Cited by 27 publications

(7 citation statements)

References 18 publications

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“…Chauan et al [32] combined entropy and TOPSIS for energy performance evaluation. Onu et al [33] employed fuzzy TOPSIS for ranking sustainable water supply alternatives. Pamucar et al [34] introduced hybrid DEMATEL-ANP-MAIRCA model for decision making.…”

Section: Literature Reviewmentioning

confidence: 99%

A new integrated fuzzy MCDM approach and its application to wastewater management

Dursun

2018

ijisae

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This paper proposes a fuzzy multi-criteria group decision making methodology that combines 2-tuple fuzzy linguistic representation model, linguistic hierarchies, Decision Making Trial and Evaluation Laboratory (DEMATEL) method and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The multi-granular linguistic information obtained from decision-makers are unified and aggregated employing linguistic hierarchies and 2-tuple fuzzy linguistic representation model. The weights of the criteria are calculated employing DEMATEL method, which enables to consider inner dependencies among criteria. Then, fuzzy TOPSIS method is utilized to rank the alternatives. The developed methodology is able to handle information in a decision making problem with multiple information sources. Furthermore, it enables managers to deal with heterogeneous information without loss of information. The developed methodology is used to determine the most suitable wastewater treatment (WWT) alternative for Istanbul, the largest city of Turkey that is also listed among the world's most crowded cities.

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Section: Literature Reviewmentioning

confidence: 99%

A new integrated fuzzy MCDM approach and its application to wastewater management

Dursun

2018

ijisae

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“…Noori et al [15] investigated the optimal dam sites in Kermanshah Province, Iran, with the Fuzzy TOPSIS method. In addition, Fuzzy TOPSIS has been applied to many other water resources issues such as water supply [16], irrigation water allocation [17], water quality failure evaluations [18,19], and water loss management [20]. Particularly, in South Korea, the Fuzzy TOPSIS method has been used to resolve various water resource problems.…”

Section: Introductionmentioning

confidence: 99%

Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea

et al. 2021

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This study evaluated a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) as a multicriteria decision making system that compensates for missing information with undefined weight factor criteria. The suggested Fuzzy TOPSIS was applied to ten potential dam sites in three river basins (the Han River, the Geum River, and the Nakdong River basins) in South Korea. To assess potential dam sites, the strategic environment assessment (SEA) monitored four categories: national preservation, endangered species, water quality, and toxic environment. To consider missing information, this study applied the Monte Carlo Simulation method with uniform and normal distributions. The results show that effects of missing information generation with one fuzzy set in GB1 site of the Geum River basin are not great in fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) estimations. However, the combination of two fuzzy sets considering missing information in Gohyun stream (NG) and Hoenggye stream (NH) sites of the Nakdong River basin has a great effect on estimating FPIS, FNIS, and priority ranking in Fuzzy TOPSIS applications. The sites with the highest priority ranking in the Han River, Geum River, and Nakdong River basins based on Fuzzy TOPSIS are the Dal stream 1 (HD1), Bocheong stream 2 (GB2) and NG sites. Among the sites in all river basins, the GB2 site had the highest priority ranking. Consequently, the results coincided with findings of previous studies based on multicriteria decision making with missing information and show the applicability of Fuzzy TOPSIS when evaluating priority rankings in cases with missing information.

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“…What is more, many of mankind’s choices and judgments are not in themselves perfectly rational, and human judgments including preferences are often vague. It is more appropriate to use fuzzy linguistic sets to reflect the preferences of experts in the evaluation process [ 31 , 32 , 33 , 34 ]. Therefore, triangular fuzzy linguistic sets are introduced in BWM here to more accurately describe the DMs’ qualitative judgments in reality.…”

Section: Introductionmentioning

confidence: 99%

Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method

Chen

Wang

et al. 2020

IJERPH

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Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluation methodology is proposed for regional water resources security evaluation. First, water security is divided into two aspects: water quantity security and water quality security. The disposal rate of harmless household garbage, the excellent water resources proportion, and the functional water body loss proportion are creatively considered as indicators of water quality security in the evaluation system. In addition, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the water security levels in different regions. For distinguishing the importance of different indicators, a Best–Worst Method (BWM) is employed to calculate the indicator weights, as triangular fuzzy linguistic sets can more flexibly describe the preferences of decision makers (DMs) regarding the indicators; therefore, it is embedded in BWM to determine indicator weights. Moreover, the fuzzy BWM-TOPSIS method is applied to evaluate the water security levels of six regions in North China, a comparison analysis with the equal weight TOPSIS method as well as the fuzzy BWM-AHP method, and a sensitivity analysis for indicator weights are presented to illustrate the effectiveness of this proposed method. Finally, some suggestions based on the evaluation results are given for effective and rational utilization of water resources in North China.

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A Fuzzy TOPSIS model Framework for Ranking Sustainable Water Supply Alternatives

Cited by 27 publications

References 18 publications

A new integrated fuzzy MCDM approach and its application to wastewater management

A new integrated fuzzy MCDM approach and its application to wastewater management

Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea

Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method

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