Toma de decisiones de múltiples personas y criterios con la distancia media ponderada ordenada probabilística inducida

dc.creatorCasanovas, Montserrat
dc.creatorTorres-Martínez, Agustín
dc.creatorMerigó, José M.
dc.date2020-06-25T19:49:31Z
dc.date2020-06-25T19:49:31Z
dc.date2020-01
dc.date.accessioned2022-10-18T12:07:30Z
dc.date.available2022-10-18T12:07:30Z
dc.identifier1432-7643
dc.identifierhttp://repositoriodigital.ucsc.cl/handle/25022009/1974
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4441608
dc.descriptionThis paper presents a new approach for selecting suppliers of products or services, specifically with respect to complex decisions that require evaluating different business characteristics to ensure their suitability and to meet the conditions defined in the recruitment process. To address this type of problem, this study presents the multi-person multi-criteria induced ordered weighted average distance (MP-MC-IOWAD) operator, which is an extension of the OWA operators that includes the notion of distances to multiple criteria and expert valuations. Thus, this work introduces new distance measures that can aggregate the information with probabilistic information and consider the attitudinal character of the decision maker. Further extensions are developed using probabilities to form the induced probabilistic ordered weighted average distance (IPOWAD) operator. An example in the management of insurance policies is presented, where the selection of insurance companies is very complex and requires the consideration of subjective criteria by experts in decision making.
dc.languageen
dc.publisherSoft Computing
dc.sourcehttps://link.springer.com/article/10.1007/s00500-019-03977-6?shared-article-renderer
dc.subjectFuzzy logic
dc.subjectMulti-criteria decision making
dc.subjectOWA operator
dc.subjectFuzzy distances
dc.titleMulti-person and multi-criteria decision making with the induced probabilistic ordered weighted average distance
dc.titleToma de decisiones de múltiples personas y criterios con la distancia media ponderada ordenada probabilística inducida
dc.typeArtículos de revistas


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