The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model

Noori, Amir; Bonakdari, Hossein; Morovati, Khosro; Gharabaghi, Bahram

doi:10.1007/s10669-018-9673-x

Cited by 39 publications

(19 citation statements)

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“…The economic merits of dams outweigh the detriments and costs, thus providing a good reason for construction of dams around the world. Selection of the best location for construction a dam is one of the most complex and controversial decisions in water supply management [1]. Just as an optimal site selection can enhance the security of the reservoir in a region and groundwater regeneration, a bad site selection can undermine them.…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

et al. 2018

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The application of multiple criteria decision-making (MCDM) techniques in real-life problems has increased in recent years. The need to build advanced decision models with higher capabilities that can support decision-making in a broad spectrum of applications, promotes the integration of MCDM techniques with applicable systems, including artificial intelligence, and Geographic Information Systems (GIS). The Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are among the most widely adopted MCDM techniques capable of resolving water resources challenges. A critical problem associated with water resource management is dam site selection. This paper presents a comparative analysis of TOPSIS and AHP in the context of decision-making using GIS for dam site selection. The comparison was made based on geographic and water quality criteria. The geographical criteria are geology, land use, sediment, erosion, slope, groundwater, and discharge. The water quality criteria include Soluble Sodium Percentage, Total Dissolved Solid, Potential of Hydrogen, and Electrical Conductivity of water. A ratio estimation procedure was used to determine the weights of these criteria. Both methods were applied for selection of optimal sites for dams in the Sistan and Baluchestan province, Iran. The results show that the TOPSIS method is better suited to the problem of dam site selection for this study area. Actual locations of dams constructed in the area were used to verify the results of both methods.

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Section: Introductionmentioning

confidence: 99%

“…Finally, the conclusions and recommendations for the future researches is provided. [45] 2013 Dam AHP [51] 2013 Dam TOPSIS [52] 2013 Underground dam AHP [53] 2014 Subsurface dams AHP [54] 2015 Small underground dams AHP [55] 2015 Dam AHP [21] 2016 Dam AHP [56] 2017 Dam AHP [57] 2018 Dam AHP [1] 2018 Dam TOPSIS…”

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confidence: 99%

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

et al. 2018

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“…Different techniques originating from MCDM include Analytic Hierarchy Process (AHP) [23], Technique for Order Preference by Simulation of Ideal Solution (TOPSIS) [24,25], ELimination and Choice Expressing REality (ELECTRE) [26], Analytic Network Process (ANP) [27,28], Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [29], and the Preference Ranking Organisation MeTHod for Enrichment Evaluations (PROMETHEE) [30]. Hence, using these methods will help researchers to create and improve the results of scientific research in many fields, including social sciences, medicine, engineering, computer science, and information management [31][32][33].…”

Section: Decision-making Techniquesmentioning

confidence: 99%

Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method

et al. 2020

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In recent years, many cities have suffered from a shortage of drinking water, mainly due to population growth. Hence, the desire to curb undue water consumption through the identification of the main factors affecting consumer behavior has become very important in managing drinking water supplies. Modifying the consumption pattern means institutionalizing of a sustainable culture in water consumption among consumers and the identification of the main criteria affecting their behavior. In 2018, a survey was applied to examine the role of mass media advertising in modifying the water consumption pattern in Iran. An integration of fuzzy AHP and fuzzy VIKOR was proposed based on group decision making, and fuzzy trapezoidal sets used to model linguistic variables and to deal with uncertainty in opinions. We devised and conducted a questionnaire with 24 main criteria and 8 sub-criteria to measure the impact of advertising on water consumption. The case study population in this study included all urban households over 15 cities of Iran. A total of 5630 questionnaires were distributed among the various populations with cluster method. Then, by analyzing the results, advertisements using animation had the highest impact on consumer behavior, among the available alternatives, and could play a significant role in modifying the water consumption pattern. Additionally, a fuzzy evaluation technique is performed to validate the result of the applied method. Subsequently, a sensitivity analysis was conducted to validate the stability of the final ranking. Finally, the prioritization results of the types of advertising by the proposed method were compared with the results of the fuzzy AHP method.

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“…Year Site Selection for Applied Method [47] 2012 Underground Dam AHP [45] 2013 Dam AHP [51] 2013 Dam TOPSIS [52] 2013 Underground dam AHP [53] 2014 Subsurface dams AHP [54] 2015 Small underground dams AHP [55] 2015 Dam AHP [21] 2016 Dam AHP [56] 2017 Dam AHP [57] 2018 Dam AHP [1] 2018 Dam TOPSIS…”

Section: Referencementioning

confidence: 99%

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

Jozaghi¹,

Alizadeh²,

Hatami³

et al. 2018

Preprint

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The application of multiple criteria decision-making (MCDM) techniques in real-life problems has increased in recent years. The need to build advanced decision models with higher capabilities that can support decision making in a broad spectrum of applications, promotes the integration of MCDM techniques with applicable systems, including artificial intelligence, and Geographic Information Systems (GIS). The Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are amongst the most widely adopted MCDM techniques capable of resolving water resources challenges. A critical problem associated with water resource management is dam site selection. This paper presents a comparative analysis of TOPSIS and AHP in the context of decision making using GIS for dam site selection. The comparison was made based on geographic and water quality criteria. A ratio estimation procedure was used to determine the weights of these criteria. Both methods were applied for selection of optimal sites for dams in the Sistan and Baluchestan province, Iran. The results show that the TOPSIS method is better suited to the problem of dam site selection for this case study. Actual locations of dams constructed in the area were used to verify the results of both methods.

show abstract

The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model

Cited by 39 publications

References 32 publications

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

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