1995
DOI: 10.1016/0165-0114(94)00289-j
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Tool steel materials selection under fuzzy environment

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Cited by 110 publications
(39 citation statements)
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“…The FWA method has been seen as an aggregated function for handling MCDM group decision problems based on fuzzy sets theory, and it has been successfully applied in many fields such as engineering, Tee and Bowman [28], Wang and Chang [31], Lin and Chang [21], Zhou [33], Vanegas and Labib [29], Chen et al [7], Wang et al [32], Vanicek et al [30], Zou and Xiao [35], Hermans et al [15], Liu et al [24], Ma et al [26], Zhu et al [34] and management science, e.g., Hon et al [16], Kao and Liu [17], Avineri et al [1], Lin et al [20], Liu [25], Ghazinoory et al [10] and Noor-E-Alam [27].…”
Section: Introductionmentioning
confidence: 99%
“…The FWA method has been seen as an aggregated function for handling MCDM group decision problems based on fuzzy sets theory, and it has been successfully applied in many fields such as engineering, Tee and Bowman [28], Wang and Chang [31], Lin and Chang [21], Zhou [33], Vanegas and Labib [29], Chen et al [7], Wang et al [32], Vanicek et al [30], Zou and Xiao [35], Hermans et al [15], Liu et al [24], Ma et al [26], Zhu et al [34] and management science, e.g., Hon et al [16], Kao and Liu [17], Avineri et al [1], Lin et al [20], Liu [25], Ghazinoory et al [10] and Noor-E-Alam [27].…”
Section: Introductionmentioning
confidence: 99%
“…The crisp number is normalized to achieve criteria values that are unit-free and comparable among all criteria. The normalized crisp values of W ij are calculated as expressed in the following equation (Karsak 2002): Wang and Chang (1995) and used in Chen (2000) Triangular fuzzy membership functions 1.0 0 0.1 0.3 0.5 0.7 0.9 1.0…”
Section: Methodsmentioning
confidence: 99%
“…After obtaining evaluation indices bj (j =1,2,…,n) , the concrete results of the target of evaluation can thus be confirmed based on the method of maximum DOM and WA method, and they are explained as follows (Wang, 1995;Farzaneh, 2008).…”
Section: Fuzzy Synthetic Evaluationmentioning
confidence: 99%