2013
DOI: 10.3233/ifs-120653
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A new method for consistency test in fuzzy AHP

Abstract: This paper presents that the consistency test with consideration of a tolerance deviation in fuzzy AHP proposed by L. C. Leung and D. Cao (2000) is not efficient and has some errors, hence a new method of fuzzy consistency test by direct fuzzification of (Quick Response) QR algorithm -which is one of numerical methods for calculating eigenvalues of an arbitrary matrix -has been proposed.

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Cited by 25 publications
(6 citation statements)
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“…In case of calculating fuzzy inconsistency ration with tolerance deviation, Mahmoudzadeh and Bafandeh (2013) CI is consistency index. λ max is the max eigenvalue of the comparison matrix.…”
Section: Checking Fuzzy Consistencymentioning
confidence: 99%
“…In case of calculating fuzzy inconsistency ration with tolerance deviation, Mahmoudzadeh and Bafandeh (2013) CI is consistency index. λ max is the max eigenvalue of the comparison matrix.…”
Section: Checking Fuzzy Consistencymentioning
confidence: 99%
“…Crisp consistency based on Saaty's method is mostly used and suitable for all types of fuzzy sets. Mahmoudzadeh and Bafandeh (2013) Table 6 summarises the methods to measure the consistency in terms of the underlying principle, the complexity of the computation and the pros and cons.…”
Section: Short Discussionmentioning
confidence: 99%
“…However, AHP is not capable of dealing with the uncertainty expected in this scenario which can be certainly addressed through its intuitionistic fuzzy version “IF-AHP” [ 68 , 69 ]. IF-AHP is suitable for responding to the above-mentioned considerations as: i) it allows eliciting the global and local relative weights of criteria and sub-criteria ii) it represents the uncertainty of experts' judgments by incorporating precise membership (degree of belongingness) and precise non-membership (degree of non-belongingness) [ 32 ]; in this case, an indeterministic part remains, iii) it takes into account the preferences emerging from experts who are part of the decision-making scenario [ 69 ], iv) it is straightforward to apply in the wild if appropriate data-collection tools are used, v) it allows comparing criteria or sub-criteria in a paired way rather than contrasting all of them concurrently, and vi) it considers crisp consistency based on Saaty's approach, which enables to evaluate the quality degree of the decision-making process [ 70 ]. Despite these advantages, IF-AHP holds some technical limitations.…”
Section: Methodsmentioning
confidence: 99%