Nested formulation paradigms for induced ordered weighted averaging aggregation for decision‐making and evaluation
Fecha
2019Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
ES/1PE/TIN2016-77356-P
Impacto
|
10.1002/int.22186
Resumen
Existing extensions to Yager's ordered weighted aver-aging (OWA) operators enlarge the application rangeand to encompass more principles and properties relatedto OWA aggregation. However, these extensions do notprovide a strict and convenient way to model evaluationscenarios with complex or grouped preferences. Basedon earlier studies and recent evolutionary changes inOWA operators, we propose fo ...
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Existing extensions to Yager's ordered weighted aver-aging (OWA) operators enlarge the application rangeand to encompass more principles and properties relatedto OWA aggregation. However, these extensions do notprovide a strict and convenient way to model evaluationscenarios with complex or grouped preferences. Basedon earlier studies and recent evolutionary changes inOWA operators, we propose formulation paradigms forinduced OWA aggregation and a related weight functionwith self‐contained properties that make it possibleto model such complex preference‐involved evaluationproblems in a systematic way. The new formulationshave some recursive forms that provide more waysto apply OWA aggregation and deserve further studyfrom a mathematical perspective. In addition, the newproposal generalizes almost all of the well‐knownextensions to the original OWA operators. We providean example showing the representative use of suchparadigms in decision‐making and evaluation problems. [--]
Materias
Aggregation function,
Decision aiding model,
Decision‐making,
Evaluation,
Induced ordered weighted averaging operator,
Ordered weighted averaging operator
Editor
Wiley
Publicado en
International Journal of Intelligent Systems, 2019; 34 (11): 3046-3057
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
This study was partly supported by Scientific Research Start‐up Foundation (grant no.184080H202B165), by Jiangsu ’s Philosophy and Social Science Fund (grant no. 18EYD005), and also by the Science and Technology Assistance Agency under contract no. APVV‐17‐0066. This study was also partially supported by the Spanish Ministry of Science and Technology under project no. TIN2016‐77356‐P (AEI/FEDER, UE).