Now showing items 1-5 of 5

    • Blanco Mesa, Fabio; Merigó Lindahl, José; Kacprzyk, Janusz (Elsevier, 2016)
      The aim of the paper is to develop new aggregation operators using Bonferroni means, OWA operators and some distance measure. We introduce the BON-OWAAC and BON-OWAIMAM operators. We are able to include coefficient adequacy ...
    • Blanco Mesa, Fabio; León Castro, Ernesto; Merigó Lindahl, José; Xu, Zeshui (Wiley, 2019)
      The induced ordered weighted average is an averaging aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper presents some new generalizations by ...
    • Alfaro García, Víctor G.; Blanco Mesa, Fabio; León Castro, Ernesto; Merigó Lindahl, José María (MDPI, 2022)
      Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set of ideal values or characteristics are required to be met. The objective of this paper is ...
    • Blanco Mesa, Fabio; León Castro, Ernesto; Merigó Lindahl, José (Springer, 2020)
      The covariance is a statistical technique that is widely used to measure the dispersion between two sets of elements. This work develops new covariance measures by using the ordered weighted average (OWA) operator and ...
    • Merigó Lindahl, José; Palacios Marqués, Daniel; Soto Acosta, Pedro (Elsevier, 2017)
      The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of operators between the minimum and the maximum. This paper presents the OWA weighted average distance operator. The main ...