2006
DOI: 10.1007/s10845-005-6635-1
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A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives

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Cited by 299 publications
(117 citation statements)
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“…Finally, the AHP became a useful approach to solve complex decision problems that prioritizes the relative importance of a list of criteria (critical factors and sub-factors) through pairwise comparisons amongst the factors by relevant experts using a nine-point scale. However, due to the vagueness and uncertainty of judgements of the decision-makers, the fuzzy number logic was introduced in the pairwise comparison of the AHP to make up for this deficiency in the conventional AHP [60]. Buckley [40] incorporated fuzzy theory into the AHP, calling the resulting theory FAHP.…”
Section: Fahpmentioning
confidence: 99%
“…Finally, the AHP became a useful approach to solve complex decision problems that prioritizes the relative importance of a list of criteria (critical factors and sub-factors) through pairwise comparisons amongst the factors by relevant experts using a nine-point scale. However, due to the vagueness and uncertainty of judgements of the decision-makers, the fuzzy number logic was introduced in the pairwise comparison of the AHP to make up for this deficiency in the conventional AHP [60]. Buckley [40] incorporated fuzzy theory into the AHP, calling the resulting theory FAHP.…”
Section: Fahpmentioning
confidence: 99%
“…The weight of each machine tool error need be considered to reflect the error's importance and influence to the resultant fuzzy cost, and this is very important to ensure the validity of the optimization results. The weights coefficients of every error are confirmed according to the Analytic Hierarchy Process (AHP) methods shown in literature [25]. The detail flow is as follows.…”
Section: Weight Of the Machine Tool Errormentioning
confidence: 99%
“…Where decision making could be a complex task, such problems can be effectively undertaken with multiple attribute decision making (MADM) approach. This approach has provided excellent results in complex decision-making problems in engineering (Zeki Ayağ & Özdemir, 2006;Vats & Vaish, 2013;Zhang, 2004). MADM utilized a lot of methods in literature which includes TOPSIS (Technique for order preference by similarity to ideal solution) (Chen, 2000;Farsijani et al, 2015), VIKOR (VlseKriterijumska Optimisacija I Kompromisno Resenje) (Opricovic & Tzeng, 2004;Yadollahi Farsi et al, 2012), and AHP (Analytic hierarchy process) (Chang, 1996;Kahraman et al, 2003), SAW (simple additive weighting) (Chen & Klein, 1997), etc.…”
Section: Capacity Designmentioning
confidence: 99%
“…The Fuzzy AHP approach permits a more perfect depiction of the decision making process. Fuzzy AHP approach is outstanding MADM approach and has been applied to various problems ranging from supplier selection (Kahraman et al, 2003), machine tool selection(Zeki Ayağ & Özdemir, 2006;Durán & Aguilo, 2008),project selection (Huang et al, 2008),Information technology sector (Lee, Chen, & Chang, 2008), manufacturing systems (Weck et al, 1997),and many more (Kaviani et al, 2014;Varmazyar & Nouri, 2014). This study aims to prove the validation of the proposed Fuzzy AHP Approach for selection of critical alternatives for capacity waste on a real life system.…”
Section: Capacity Designmentioning
confidence: 99%