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- W2466587082 abstract "In multicriteria decision-making methods, such as the Analytic Hierarchy Process (AHP), singlevalues are used to compare criteria and alternatives. Usually this single value given by decision makersfollows the fundamental scale from 1 to 9. However, a decision maker often does not have complete supportinformation for his or her making decisions. This lack of information causes the decision maker to becomeuncertain about his or her decisions. One of the options to overcome this problem is by using intervalsinstead of single-valued pairwise.This paper presents a methodology for analyzing the interval judgment using confidence intervals, constructed from score statistics. Moreover, inconsistency that can appear in the AHP will be restored using aconsistency improving method (CIM). Data uniformly generated are used for implementing the method. The test showed that this interval judgment approach can be a representative method for covering the uncertainty in the decision-making process." @default.
- W2466587082 created "2016-07-22" @default.
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- W2466587082 date "2008-01-01" @default.
- W2466587082 modified "2023-09-24" @default.
- W2466587082 title "Stochastic Judgments in the AHP:Confidence Interval Construction Using Score Statistics" @default.
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