2009
DOI: 10.1080/00207540801935608
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A fuzzy AHP-based performance evaluation model for implementing SPC in the Taiwanese LCD industry

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Cited by 20 publications
(24 citation statements)
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References 29 publications
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“…The result is the emergence of an advanced analytical method -fuzzy AHP/ANP (Huang et al 2009a, 2009b, Sen et al 2010. Fuzzy AHP/ANP is considered as an important extension of conventional AHP/ANP (Kahraman et al 2010).…”
Section: Multi-criteria Analysismentioning
confidence: 97%
See 1 more Smart Citation
“…The result is the emergence of an advanced analytical method -fuzzy AHP/ANP (Huang et al 2009a, 2009b, Sen et al 2010. Fuzzy AHP/ANP is considered as an important extension of conventional AHP/ANP (Kahraman et al 2010).…”
Section: Multi-criteria Analysismentioning
confidence: 97%
“…To deal quantitatively with such imprecision or uncertainty, fuzzy set theory is appropriate (Huang et al 2009a, 2009b, Kahraman et al 2010. Fuzzy set theory was designed specifically to mathematically represent uncertainty and vagueness and to provide formalised tools for dealing with the imprecision intrinsic to multi-criteria decision problems (Beskese et al 2004, Mehrabad andAnvari 2010).…”
Section: Multi-criteria Analysismentioning
confidence: 99%
“…It has become an important technology because it is widely used in electric devices, such as cell phones, PDAs, computers, and TVs (Lu and Tsai 2004, Tsai and Hung 2005, Tsai et al 2007, Huang et al 2009). With a piece of glass substrate, TFT is a switch to control light and shade of each pixel on the LCD to reach color purposes.…”
Section: Introductionmentioning
confidence: 99%
“…The result is the emergence of the advanced analytical method -fuzzy AHP/ANP (Huang et al, 2009). Fuzzy AHP/ANP is considered as an important extension of the conventional AHP/ANP (Kahraman et al, 2010).…”
Section: Multi-criteria Decision Analysismentioning
confidence: 99%
“…It is believed that if uncertainty (or fuzziness) of human decision making is not taken into account, the results can be misleading. To deal quantitatively with such imprecision or uncertainty, fuzzy set theory is appropriate (Huang et al, 2009;Kahraman et al, 2010). Fuzzy set theory was designed specifically to mathematically represent uncertainty and vagueness, and to provide formalised tools for dealing with the imprecision intrinsic to multi-criteria decision problems (Beskese et al, 2004;Mehrabad & Anvari, 2010).…”
Section: Multi-criteria Decision Analysismentioning
confidence: 99%