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• W4281641036 endingPage "012082" @default.
• W4281641036 startingPage "012082" @default.
• W4281641036 abstract "Abstract Energy power is highly needed to deal with modern human lifestyle. Therefore, choosing a proper energy resource is a vital activity to satisfy the regular demand of energy along with the consideration of environmental and social impact of it. This paper proposed a methodological analysis for the determination and installation of energy plant in a particular location under the conditions to fulfill the demand and to maintain socio-economic sustainability. Since, there are several energy resources available, including renewable and non-renewable resources, it is very necessary to choose appropriate resource to be used for energy plant installation for a particular location. The choice of location depends on many factors like price, availability of resources etc. This study examines the priority of factors for a specified area and develops a process to select the most suitable energy resources. Multiple locations are considered for the study. For each location, the most appropriate energy production plant is determined under intuitionistic fuzzy environment. Moreover, this paper applies two different approaches for location selection as Sanchez approach and fuzzy TOPSIS. The methods are described with numerical data. The results are graphically analyzed and are compared between the two approaches. The study concluded that the TOPSIS is useful to obtain more accurate approximation than the Sanchez approach but with long computational approach. On the other hand, Sanchez can obtain results with lower computational steps." @default.
• W4281641036 created "2022-06-13" @default.
• W4281641036 creator A5027001404 @default.
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• W4281641036 date "2022-05-01" @default.
• W4281641036 modified "2023-10-14" @default.
• W4281641036 title "A Comparative study and efficiency analysis between Sanchez and Fuzzy TOPSIS methods in a multi-criteria decision-making problem for energy plant instalment" @default.
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• W4281641036 doi "https://doi.org/10.1088/1742-6596/2267/1/012082" @default.
• W4281641036 hasPublicationYear "2022" @default.
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