Person:
Pereira Dimuro, Graçaliz

Profile Picture

Email Address

person.page.identifierURI

https://academica-e.unavarra.es/handle/2454/49759

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Pereira Dimuro

First Name

Graçaliz

person.page.departamento

Automática y Computación

person.page.instituteName

ORCID

0000-0001-6986-9888

person.page.upna

811336

Name

Filters

20221
Reset filters

Settings

Subject: Grouping functions × Subject: Fuzzy material implication functions × Author: Santos, Helida ×

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    PublicationOpen Access
    Constructing interval-valued fuzzy material implication functions derived from general interval-valued grouping functions
    (IEEE, 2022) Pereira Dimuro, Graçaliz; Santos, Helida; Da Cruz Asmus, Tiago; Wieczynski, Jonata; Pinheiro, Jocivania; Callejas Bedregal, Benjamin; Bustince Sola, Humberto; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC
    Grouping functions and their dual counterpart, overlap functions, have drawn the attention of many authors, mainly because they constitute a richer class of operators compared to other types of aggregation functions. Grouping functions are a useful theoretical tool to be applied in various problems, like decision making based on fuzzy preference relations. In pairwise comparisons, for instance, those functions allow one to convey the measure of the amount of evidence in favor of either of two given alternatives. Recently, some generalizations of grouping functions were proposed, such as (i) the n-dimensional grouping functions and the more flexible general grouping functions, which allowed their application in n-dimensional problems, and (ii) n-dimensional and general interval-valued grouping functions, in order to handle uncertainty on the definition of the membership functions in real-life problems. Taking into account the importance of interval-valued fuzzy implication functions in several application problems under uncertainty, such as fuzzy inference mechanisms, this paper aims at introducing a new class of interval-valued fuzzy material implication functions. We study their properties, characterizations, construction methods and provide examples.