Unsymmetrical basic uncertain information with some decision-making methods
Fecha
2022Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
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10.3233/JIFS-220593
Resumen
Motivated by a specific decision-making situation, this work proposes the concept and definition of unsymmetrical basic uncertain information which is a further generalization of basic uncertain information and can model uncertainties in some new decision-making situations. We show that unsymmetrical basic uncertain information in some sense can model linguistic hedges such as 'at least' and 'at ...
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Motivated by a specific decision-making situation, this work proposes the concept and definition of unsymmetrical basic uncertain information which is a further generalization of basic uncertain information and can model uncertainties in some new decision-making situations. We show that unsymmetrical basic uncertain information in some sense can model linguistic hedges such as 'at least' and 'at most'. Formative weighted arithmetic means and induced aggregations are defined for the proposed concept. Rules-based decision making and semi-copula based integral for this concept with some numerical examples are also presented. [--]
Materias
Aggregation operators,
Basic uncertain information,
Evaluation,
Information fusion,
Integral,
Uncertainty,
Unsymmetrical basic uncertain information
Editor
IOS Press
Publicado en
Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4457-4463, 2022
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
The paper is supported by National Natural Science Foundation of China with grant nos. 72171182 and 71801175, Grant APVV-18-0052, Grant PID2019-108392GBI00, financed by MCIN/AEI/10.13039/501100011033.