2010
DOI: 10.1016/j.apenergy.2009.07.009
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Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems

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Cited by 215 publications
(77 citation statements)
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“…In this normalization method, the cost criterion (C) divided by the minimum value and the benefit criterion (B) is divided by the maximum value of the decision matrix by using Equations (7-9) and the normalized values are shown in Table 5. The distance of each candidate from the reference series is calculated by using Equations (10)(11)(12). The results are shown in Table 6.…”
Section: Decision Makers Alternativesmentioning
confidence: 99%
See 1 more Smart Citation
“…In this normalization method, the cost criterion (C) divided by the minimum value and the benefit criterion (B) is divided by the maximum value of the decision matrix by using Equations (7-9) and the normalized values are shown in Table 5. The distance of each candidate from the reference series is calculated by using Equations (10)(11)(12). The results are shown in Table 6.…”
Section: Decision Makers Alternativesmentioning
confidence: 99%
“…Kaya and Kahraman [9] aim at determining the best renewable energy alternative for Istanbul by using an integrated VIKOR-AHP methodology. Cavallaro [10] used s Fuzzy-TOPSIS approach for assessing thermal-energy storage in concentrated solar power systems. Kahraman and Kaya [11] utilize Fuzzy-AHP to select the best energy policy for Turkey.…”
Section: Fuzzy-mcdm Literaturementioning
confidence: 99%
“…TOPSIS has been widely used in a variety of multiple objective projects [41,42]. Allocating weight for indicators is a key procedure of the TOPSIS method, and the entropy weight method provides the objective weight.…”
Section: Topsis Methodsmentioning
confidence: 99%
“…Allocating weight for indicators is a key procedure of the TOPSIS method, and the entropy weight method provides the objective weight. The procedures of TOPSIS can be presented as follows [41][42][43][44][45].…”
Section: Topsis Methodsmentioning
confidence: 99%
“…Many multiple criteria analysis methods are available [35][36][37][38]. The results they produce for the same problem with identical criteria, values and weights are often different.…”
Section: Rankmentioning
confidence: 99%