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A Position and Perspective Analysis of Hesitant Fuzzy Sets on Information Fusion in Decision Making: Towards High Quality Progress
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal, Brazil.
Department of Automatic and Computation and Institute of Smart Cities, Public University of Navarra, Pamplona, Spain.
Business School, Sichuan University, Chengdu, China.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 29, s. 89-97Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The necessity of dealing with uncertainty in real world problems has been a long-term research challenge which has originated different methodologies and theories. Recently, the concept of Hesitant Fuzzy Sets (HFSs) has been introduced to model the uncertainty that often appears when it is necessary to establish the membership degree of an element and there are some possible values that make to hesitate about which one would be the right one. Many researchers have paid attention on this concept who have proposed diverse extensions, relationships with other types of fuzzy sets, different types of operators to compute with this type of information, applications on information fusion and decision-making, etc.

Nevertheless, some of these proposals are questionable, because they are straightforward extensions of previous works or they do not use the concept of HFSs in a suitable way. Therefore, this position paper studies the necessity of HFSs and provides a discussion about current proposals including a guideline that the proposals should follow and some challenges of HFSs.

sted, utgiver, år, opplag, sider
Elsevier, 2016. Vol. 29, s. 89-97
Emneord [en]
Hesitant fuzzy sets, Operations, Properties and decision making
HSV kategori
Forskningsprogram
Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
URN: urn:nbn:se:his:diva-13065DOI: 10.1016/j.inffus.2015.11.004ISI: 000367700500009Scopus ID: 2-s2.0-84954369468OAI: oai:DiVA.org:his-13065DiVA, id: diva2:1044078
Tilgjengelig fra: 2016-11-01 Laget: 2016-11-01 Sist oppdatert: 2018-03-28bibliografisk kontrollert

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