2014
DOI: 10.1016/j.energy.2014.05.098
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Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh

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Cited by 156 publications
(62 citation statements)
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“…Bas (2013) has proposed the SWOT-fuzzy TOPSIS methodology combined with AHP for analysis of electricity supply chain in Turkey. Kabir & Sumi (2014) have integrated FAHP and PROMETHEE methods to select power substation location (case study from Bangladesh). On the other hand, et al (2015) used FTOPSIS for ranking renewable energy supply systems in Turkey.…”
Section: Literature Overviewmentioning
confidence: 99%
“…Bas (2013) has proposed the SWOT-fuzzy TOPSIS methodology combined with AHP for analysis of electricity supply chain in Turkey. Kabir & Sumi (2014) have integrated FAHP and PROMETHEE methods to select power substation location (case study from Bangladesh). On the other hand, et al (2015) used FTOPSIS for ranking renewable energy supply systems in Turkey.…”
Section: Literature Overviewmentioning
confidence: 99%
“…The most common and mostly-accepted among these in fuzzy systems are triangular and trapezoid membership functions [18]. Trapezoid membership function is superior in terms of conceptual and operational easiness compared to the other functions and is commonly used in the membership functions of fuzzy numbers [19]. Thus, the membership function mentioned below was used in this study.…”
Section: Fuzzy Setsmentioning
confidence: 99%
“…Byun and Lee [10] deals with the selection of an optimal rapid prototyping system that best suits the end use of a part by using multiple attribute decision making and the test part designed with conjoint analysis to reflect users' preference. Evaluation factors that significantly affect the performance of an RP system such as accuracy, roughness, strength, elongation, parts cost and build time are presented as linguistic values that can be described with triangular fuzzy numbers and an appropriate rapid prototyping process is selected using a modified technique of order preference by a similarity to ideal solution (TOPSIS) method.…”
Section: Topic Related Literaturementioning
confidence: 99%