A hybrid fuzzy multi-criteria decision making approach for desalination process selection

Ghassemi, Seyed Ali; Danesh, Shahnaz

doi:10.1016/j.desal.2012.12.008

Cited by 41 publications

(24 citation statements)

References 34 publications

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“…Moreover, there are numerous examples of customizingeither by combining or modifying -these tools to use them for specific purposes (Kuo & Liang, 2011;Ebrahimnejad et al, 2012;Ghassemi & Danesh, 2013). This development has led to the quandary of deciding which method to select for a given situation (Hajkowicz & Higgins, 2008).…”

Section: Introductionmentioning

confidence: 98%

Multi-criteria decision making methods for rural water supply: a case study from Bangladesh

Sikder

Salehin

2015

Water Policy

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Multiple criteria decision making (MCDM) is a process of evaluating alternatives against relevant decision making criteria. Several methods are available to facilitate the evaluation steps. This paper deals with a rural water supply problem in the coastal areas of Bangladesh. Three different MCDM methods -weighted summation, analytical hierarchy process, and novel approach to imprecise assessment and decision environments -were used to evaluate the suitable water supply alternative. The ranking of alternatives obtained from these MCDM techniques produced similar results. Among five water supply alternatives evaluated, rainwater harvesting systems and deep tube wells scored first and second, respectively, for all three evaluation methods. In addition, sensitivity analyses were carried out for the MCDM techniques and these results did not show drastic variations either. This finding implies that while selection of MCDM technique is important, when evaluating similar problems more emphasis should be given to defining the problem comprehensively and thus selecting the relevant criteria and priorities to factor into the decision problem.

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Section: Introductionmentioning

confidence: 98%

Multi-criteria decision making methods for rural water supply: a case study from Bangladesh

Sikder

Salehin

2015

Water Policy

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“…It can be observed that the most popular methodological approaches are combinations of crisp AHP with TOPSIS [116] or ANP with TOPSIS [115] as well as their combinations in a fuzzy environment [105,111,112,118]. Combinations with grey numbers are observed in a single publication.…”

Section: Hmcdm Applications In Industrial and Manufacturing Engineerimentioning

confidence: 99%

“…An interesting application is observed for prioritizing advanced technology projects at NASA [112]. Environmental issues are considered by designing combined energy systems [110] or assess- ing building energy performance [108], and selecting the most suitable desalination technology for brackish groundwater [111].…”

Section: Hmcdm Applications In Industrial and Manufacturing Engineerimentioning

confidence: 99%

Hybrid Multiple Criteria Decision Making Methods: A Review of Applications in Engineering

et al. 2016

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Abstract. To support evaluation and selection processes in engineering, formal decisionmaking methods can be used. A great number of works applying diverse Multiple-Criteria Decision-Making (MCDM) techniques for engineering problems have been published recently. A new approach of hybrid MCDM methods has been developed, rapidly, during the past few years. The current paper aims at lling the gap and summarizing publications related to applications of hybrid MCDM for engineering. The study is limited solely to papers referred in Thomson Reuters Web of Science Core Collection academic database. It aims to review how the papers have been distributed by period of publishing and by country; multiple-criteria decision-making methods have been used, most frequently, in developing hybrid approaches and in domains the methods have been applied for. For a more detailed analysis of applications, journal articles from engineering research area were grouped by research domains and further by analyzed issues. Findings of the current review paper con rm that hybrid MCDM approaches, due to their abilities in integrating di erent techniques, can assist in handling miscellaneous information taking into account stakeholders' preferences when making decisions in engineering.

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“…Decision-makers tend to favour multi-criteria decision analysis methodologies such as variations of fuzzy logic applications and existing matrix mathematics, as these support research into the feasibility of new desalination projects. Common examples have been described [21][22][23][24][25]. Various indicators covered in these studies are based on economic, environmental/topographical, technological and social factors.…”

Section: Introductionmentioning

confidence: 99%

“…Artificial intelligence (AI) techniques have been adopted to support the sustainability concept within technical issues. Among the several approaches to adopt AI techniques for system evaluation, artificial neural networks (ANN) and fuzzy logic (FL) systems have been prominently adopted in the area of sustainability [24,29]. For example, neural networks have been utilized by Abdeljawad et al [30] to forecast key water parameters such as salt concentration to evaluate reverse osmosis plant performance along the Gaza Strip, Palestine.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Ranking of Desalination Plants Using Mamdani Fuzzy Logic Inference Systems

et al. 2020

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As water desalination continues to expand globally, desalination plants are continually under pressure to meet the requirements of sustainable development. However, the majority of desalination sustainability research has focused on new desalination projects, with limited research on sustainability performance of existing desalination plants. This is particularly important while considering countries with limited resources for freshwater such as the United Arab Emirates (UAE) as it is heavily reliant on existing desalination infrastructure. In this regard, the current research deals with the sustainability analysis of desalination processes using a generic sustainability ranking framework based on Mamdani Fuzzy Logic Inference Systems. The fuzzy-based models were validated using data from two typical desalination plants in the UAE. The promising results obtained from the fuzzy ranking framework suggest this more in-depth sustainability analysis should be beneficial due to its flexibility and adaptability in meeting the requirements of desalination sustainability.

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A hybrid fuzzy multi-criteria decision making approach for desalination process selection

Cited by 41 publications

References 34 publications

Multi-criteria decision making methods for rural water supply: a case study from Bangladesh

Multi-criteria decision making methods for rural water supply: a case study from Bangladesh

Hybrid Multiple Criteria Decision Making Methods: A Review of Applications in Engineering

Sustainability Ranking of Desalination Plants Using Mamdani Fuzzy Logic Inference Systems

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