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TITLE:
Induced Unbalanced Linguistic Ordered Weighted Average and its application in multi-person decision making - PC:846

Author, as appears in the article.:Merigó, J.M.
Moreno, A.
Isern, D.
Valls, A.
Marin, L.
Journal publication year:2014
ISSN:2356-6140
Abstract:Linguistic variables are very useful to evaluate alternatives in decision making problems because they provide a vocabulary in natural language rather than numbers. Some aggregation operators for linguistic variables force the use of a symmetric and uniformly distributed set of terms. The need to relax these conditions has recently been posited. This paper presents the induced unbalanced linguistic ordered weighted average (IULOWA) operator. This operator can deal with a set of unbalanced linguistic terms that are represented using fuzzy sets. We propose a new order-inducing criterion based on the specificity and fuzziness of the linguistic terms. Different relevancies are given to the fuzzy values according to their uncertainty degree. To illustrate the behaviour of the precision-based IULOWA operator, we present an environmental assessment case study in which a multiperson multicriteria decision making model is applied.
Article's DOI:10.1155/2014/642165
Link to the original source:http://www.hindawi.com/journals/tswj/2014/642165/
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Informàtica i Matemàtiques
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Fuzzy logic
Entity:Universitat Rovira i Virgili.
First page:1
Last page:19
Journal volume:2014
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