2014
DOI: 10.1007/s10845-013-0863-6
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A novel framework to evaluate programmable logic controllers: a fuzzy MCDM perspective

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Cited by 22 publications
(14 citation statements)
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“…, ) are normalized first and then aggregated via arithmetic mean to get the normalized direct-influence fuzzy matrix̃. In addition, formula (16) was utilized to normalize the group direct-influence fuzzy matrix̃in [156,161,168,172,178,179,181,183].…”
Section: Fuzzy-based Dematelmentioning
confidence: 99%
See 2 more Smart Citations
“…, ) are normalized first and then aggregated via arithmetic mean to get the normalized direct-influence fuzzy matrix̃. In addition, formula (16) was utilized to normalize the group direct-influence fuzzy matrix̃in [156,161,168,172,178,179,181,183].…”
Section: Fuzzy-based Dematelmentioning
confidence: 99%
“…Step 4 by some researchers [161,179,181,182] to defuzzify the total-influence fuzzy matrix̃into the total-influence matrix . The rest of the steps are the same as the original DEMETAL technique.…”
Section: Fuzzy-based Dematelmentioning
confidence: 99%
See 1 more Smart Citation
“…It is simple, intuitive, yet powerful, to determine the importance weights among evaluation criteria and the performance ratings of alternatives [23,24]. In practice, the AHP needs to construct a top-down hierarchy (i.e.…”
Section: Using the Ahp To Generate The Importance Weights Of Grsmentioning
confidence: 99%
“…Moreover, Sharma and Balan (2013) combined a TOPSIS (technique for order of preference by similarity to ideal solution) with multi criteria goal programming regarding Taguchi approach to solve an SSP including warranty degree, satisfaction, price, delivery, and quality criteria. Besides, Wang and Wu (2014) proposed a hybrid algorithm fuzzy AHP, fuzzy DEMATEL, and fuzzy Delphi to evaluate a supplier selection in MCDM problems. Kumru and Kumru (2014) solved a machine selection as a case study in a company using a fuzzy ANP as well.…”
Section: The Literature Review Of Supplier Selection Problemsmentioning
confidence: 99%