Articles producció científicaEnginyeria Informàtica i Matemàtiques

Induced Unbalanced Linguistic Ordered Weighted Average and its application in multi-person decision making

  • Identification data

    Identifier:  PC:846
    Authors:  Merigó, J.M.; Moreno, A.; Isern, D.; Valls, A.; Marin, L.
    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.
  • Others:

    Link to the original source: http://www.hindawi.com/journals/tswj/2014/642165/
    Article's DOI: 10.1155/2014/642165
    Journal publication year: 2014
    Entity: Universitat Rovira i Virgili.
    Paper version: info:eu-repo/semantics/publishedVersion
    First page: 1
    Department: Enginyeria Informàtica i Matemàtiques
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Last page: 19
    ISSN: 2356-6140
    Author, as appears in the article.: Merigó, J.M., Moreno, A., Isern, D., Valls, A., Marin, L.
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Journal volume: 2014
    Thematic Areas: Fuzzy logic