There is no mathematical validity for using fuzzy number crunching in the analytic hierarchy process

Thomas L. Saaty

Journal of Systems Science and Systems Engineering ›› 2006, Vol. 15 ›› Issue (4) : 457 -464.

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Journal of Systems Science and Systems Engineering ›› 2006, Vol. 15 ›› Issue (4) : 457 -464. DOI: 10.1007/s11518-006-5021-7
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There is no mathematical validity for using fuzzy number crunching in the analytic hierarchy process

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Abstract

Fuzzy logic has difficulty producing valid answers in decision-making. Absent are theorems to prove that it works to produce results already known that are being estimated with judgments by transforming such judgments numerically. The numerical representation of judgments in the AHP is already fuzzy. Making fuzzy judgments more fuzzy does not lead to a better more valid outcome and it often leads to a worse one. The compatibility index of the AHP is used to illustrate how the answers obtained by fuzzifying AHP judgments do not produce better results than direct derivation of the principal eigenvector. Other authors who did experiments with given data in decision making quoted in the conclusions section of the paper, have observed that fuzzy sets gives the poorest answers among all methods used to derive best decisions.

Keywords

Analytic Hierarchy Process / fuzzy logic / compatibility index / validity

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Thomas L. Saaty. There is no mathematical validity for using fuzzy number crunching in the analytic hierarchy process. Journal of Systems Science and Systems Engineering, 2006, 15(4): 457-464 DOI:10.1007/s11518-006-5021-7

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References

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Saaty T.L.. Fundamentals of the analytic network process: dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering, 2004, 13(2): 129-157.

[2]

Saaty, T.L. & Tran L.T. (Forthcoming). On the invalidity of fuzzifying numerical judgments in the analytic hierarchy process. Forthcoming in Mathematical and Computer Modelling

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Wilkinson J.H.. The Algebraic Eigenvalue Problem, 1965, Oxford: Clarendon Press.

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Saaty, T. & Khouja M. (1976). A measure of world influence. Journal of Peace Science, Spring

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Buede D., Maxwell D.T.. Rank disagreement: a comparison of multi-criteria methodologies. Journal of Multi-Criteria Decision Analysis, 1995, 4: 1-21.

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