2015
DOI: 10.1155/2015/845346
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A Fuzzy Delphi-Analytical Hierarchy Process Approach for Ranking of Effective Material Selection Criteria

Abstract: The ability to select the most appropriate materials for a given application is the fundamental challenge faced by a design engineer. The objective of any material selection procedure is to identify appropriate selection criteria and to obtain the most appropriate combination of criteria in conjunction with requirements. Hence, selection of material is a multicriteria decision making problem. This study investigates and evaluates critical material selection criteria in a priority framework using the fuzzy Delp… Show more

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Cited by 12 publications
(6 citation statements)
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“…Rotarescu [20] offered practical support to the management of organizations in order to make a formation program of human resources. Kazemi et al [21] used the fuzzy Delphi-analytical hierarchy process method and also the ranking method would help product designers to decide on appropriate materials in a consistent method.…”
Section: Related Workmentioning
confidence: 99%
“…Rotarescu [20] offered practical support to the management of organizations in order to make a formation program of human resources. Kazemi et al [21] used the fuzzy Delphi-analytical hierarchy process method and also the ranking method would help product designers to decide on appropriate materials in a consistent method.…”
Section: Related Workmentioning
confidence: 99%
“…He first used Delphi method to identify and quantify relevant criteria, and then used AHP approach to estimate the relative importance of the extracted criteria. Kazemi et al have used an indistinct Delphi-AHP method to investigate and evaluate critical material selection criteria in a priority framework in order to choose the most appropriate materials for any design [52]. Vidal et al have used Delphi process with incorporation of AHP to evaluate the complexity of projects [53].…”
Section: Literature Reviewmentioning
confidence: 99%
“…3. (Kazemi et al 2015;Liu 2013;Saaty 2008;Tavana et al 1993) used n×(n−1) 2 pairwise comparison judgments and it is a time consuming, but in our research we used only (n − 1) pairwise comparison judgments. 4.…”
Section: Comparative Analysismentioning
confidence: 99%
“…4. Because fuzzy set has only single valued function used to express evidence of acceptance and rejection at the same time in many practical situations as in Kazemi et al 2015;Liu 2013, then it cannot represent the problem domain effectively. But in our research we integrate Delphi into AHP framework by using neutrosophic, which has three valued functions.…”
Section: Comparative Analysismentioning
confidence: 99%
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