Optimization of Industrial Wastewater Treatment Using Intuitionistic Fuzzy Goal Geometric Programming Problem

Ghosh, Payel; Roy, Tapan Kumar; Majumder, Chanchal

doi:10.1016/j.fiae.2016.09.002

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…Analysis is made mainly by this method for energy, environment and sustainability were ranked applying MCDM techniques and approaches (Mardani, Jusoh, Zavadskas, Cavallaro, & Khalifah, 2015). In Ghosh, Roy and Majumder optimized industrial wastewater treatment problem using intuitionistic fuzzy goal geometric programming (Ghosh et al, 2016), the cost involved was minimized by a five-day biochemical oxygen demand removal. A technological and economic based comprehensive efficiency evaluation of wastewater treatment with an intuitionistic fuzzy set was proposed (Jian, Y. Li, Jiang, & L. Li, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

Zhou

Dou

Zhang

et al. 2018

Journal of Environmental Engineering and Landscape Management

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As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.

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Section: Introductionmentioning

confidence: 99%

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

Zhou

Dou

Zhang

et al. 2018

Journal of Environmental Engineering and Landscape Management

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show abstract

“…Xevi and Khan (2006) maximized net revenues and minimized costs using Goal programming technique, included within the method preference based Methods. Ghosh et al (2016) also uses Goal programming to design a cost effective biological treatment process for industrial wastewater. The present investi gation uses Goal programming technique to solve the multi objective problem.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

Gormaz-Cuevas

Riffo-Rivas

Montastruc

et al. 2021

Journal of Cleaner Production

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Climate Change and its effects in water scarcity has become an important challenge for cities with water management problems. These problems require an integral planning of the city, which can be supported by optimization. The main goal of the research is to provide a regional optimization model for water networks, including new treatment options. The model is formulated as a multi objective mixed integer programming problem, focused on environmental and economic impact of the network, minimizing water extracted from natural sources and total cost. The formulation is developed with the goal programming methodology. The model covers a complete existing city scale water network, including 4 different options of water reuse within the city: drinking water, fresh water, irrigation, and discharge in natural courses. The case study is Santiago, capital of Chile, which is the political, economic, and insti tutional center of Chile. If both objective functions have equal importance to configure the solution, the following ideas characterize the optimal water network: (i) it is more environmentally and economically convenient to reuse water within the network rather than recycling water to the natural source; (ii) the reuse of water is preferred in the form of irrigation and drinking qualities rather than industrial qualities to reduce transport costs, and (iii) the modification of the current treatment plants is preferred, because of the high cost of installation of new plants. An environmental and cost effective solution for Santiago, Chile, can reduce the source water extraction in 35.7%. The model can be implemented in other contexts, providing orientations to decision makers so as to plan city scale water networks with simultaneous environmental and economic considerations.

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Selection of waste water treatment plans alternative: a neutrosophy based MCDM approach

Bera,

Mahapatra

2023

OPSEARCH

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Optimization of Industrial Wastewater Treatment Using Intuitionistic Fuzzy Goal Geometric Programming Problem

Cited by 8 publications

References 3 publications

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

Selection of waste water treatment plans alternative: a neutrosophy based MCDM approach

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