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dc.contributor.authorAggarwal, Manish
dc.date.accessioned2017-06-23T04:25:29Z
dc.date.available2017-06-23T04:25:29Z
dc.date.issued2017
dc.identifier.citationAggarwal M. (2017). Discriminative aggregation operators for multi criteria decision making. Applied Soft Computing Journal, 52, 1058-1069.en_US
dc.identifier.urihttp://hdl.handle.net/11718/19607
dc.description.abstractA general aggregation formalism for multi criteria decision making (MCDM) applications is presented. Using this formalism, we derive the existing aggregation operators, and also develop some new ones. The proposed general formalism is further extended to develop discriminative class of aggregation operators for aiding MCDM. The proposed discriminative aggregation operators are based on the consideration of the variability in the various evaluations of a criterion. Four families of discriminative aggregation operators are developed using the extended formalism. These operators and applied in a managerial real world case-study.en_US
dc.language.isoen_USen_US
dc.publisherElsevier Ltden_US
dc.subjectAggregation operatoren_US
dc.subjectDiscriminative aggregation operatoren_US
dc.subjectMulti criteria decision makingen_US
dc.subjectOrdered weighted averagingen_US
dc.titleDiscriminative aggregation operators for multi criteria decision makingen_US
dc.typeArticleen_US


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