Stochastic Judgments in the AHP: Confidence Interval Construction Using Score Statistics

Halim, Siana and Bisono, Indriati Njoto (2008) Stochastic Judgments in the AHP: Confidence Interval Construction Using Score Statistics. In: 9th APIEMS, 3-5 December 2008, Bali.

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        In multicriteria decision-making methods, such as the Analytic Hierarchy Process (AHP), single values are used to compare criteria and alternatives. Usually this single value given by decision makers follows the fundamental scale from 1 to 9. However, a decision maker often does not have complete support information for his or her making decisions. This lack of information causes the decision maker to become uncertain about his or her decisions. One of the options to overcome this problem is by using intervals instead 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 a consistency 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.

        Item Type: Conference or Workshop Item (Paper)
        Subjects: H Social Sciences > HA Statistics
        Q Science > Q Science (General)
        Divisions: Faculty of Industrial Technology > Industrial Engineering Department
        Depositing User: Siana Halim
        Date Deposited: 24 Mar 2016 13:24
        Last Modified: 16 Jan 2019 10:16
        URI: http://repository.petra.ac.id/id/eprint/17275

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