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Multicriteria correlation preference information (MCCPI) with nonadditivity index for decision aiding
journal contribution
posted on 2020-01-01, 00:00 authored by L Huang, J Z Wu, Gleb BeliakovGleb BeliakovMCCPI (Multiple Criteria Correlation Preference Information) is a kind of 2 dimensional decision preference information obtained by pairwise comparison on the importance and interaction of decision criteria. In this paper, we introduce the nonadditivity index to replace the Shapley simultaneous interaction index and construct an undated MCCPI based decision scheme. We firstly propose a diagram to help decision maker obtain the nonadditivity index type MCCPI, then establish transform equations to normalize them into desired capacity and finally adopt a random generation MCCPI based comprehensive decision aid algorithm to explore the dominance relationships and creditable ranking orders of all decision alternatives. An illustrative example is also given to demonstrate the feasibility and effectiveness of the proposed decision scheme. It’s shown that based on some good properties of nonadditivity index in practice, the updated MCCPI model can deal with the internal interaction among decision criteria with relatively less model construction and calculation effort.
History
Journal
Journal of Intelligent and Fuzzy SystemsVolume
39Issue
3Pagination
3441 - 3452Publisher
IOS PressLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
1064-1246eISSN
1875-8967Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer ScienceMultiple criteria decision analysiscapacityfuzzy measurenonadditivity indexinteraction indexROBUST ORDINAL REGRESSIONCAPACITY IDENTIFICATIONAGGREGATION FUNCTIONSAXIOMATIC APPROACHFUZZY MEASURESCRITERIAArtificial Intelligence and Image Processing
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