Fuzzy multiple-criteria decision-making: Application to AML project selection

Ince, Erdem; Mutmansky, Jan M.; Albert, E.

doi:10.1080/09208119108944304

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The use of TFNs provides further simplification in the computation of nonspecificity. For a TFN , the formula is simplified to (7) If this function is used to compare the nonspecificities of two or more TFNs, the constant term can be ignored. The determining factor then becomes (8) As a result, in the special case of TFNs, nonspecificity is directly related to the support of the fuzzy number; the wider the support, the more nonspecificity the fuzzy number has.…”

Section: Criteria For Evaluating Measurement Systemsmentioning

confidence: 99%

Reliability, validity, and imprecision in fuzzy multicriteria decision-making

Boucher

Gogus

2002

IEEE Trans. Syst., Man, Cybern. C

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There has been a great deal of interest in the application of fuzzy sets for representing uncertainty in management decision models. One of the important steps in the decision process is the elicitation of fuzzy judgments from the decision-makers. There are two elicitation procedures used in the existing literature: 1) direct numerical assessment and 2) linguistic variables. In this paper, we introduce a third procedure, which we term the "fuzzy spatial instrument." We examine some characteristics of judgment elicitation procedures as measurement instruments. In particular, we conduct an empirical test of fuzzy measurement instruments using a set of subjects and evaluate the instruments on the criteria of reliability, validity, and imprecision. We conclude that the use of fuzzy instruments will introduce some level of imprecision into the decision-making process due to the nature of the instruments themselves.

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Section: Criteria For Evaluating Measurement Systemsmentioning

confidence: 99%