Generalized Hesitant Fuzzy Sets

Bin Zhu

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Paper

Generalized Hesitant Fuzzy Sets

Topics: Fuzzy Information Processing, Fusion, Text Mining

In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, 395-401, 2012 , Barcelona, Spain

Author: Bin Zhu

Affiliation: Southeast University, China

Keyword(s): Generalized Hesitant Fuzzy Set (GHFS), Hesitant Fuzzy Set (HFS), Decision Making.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Information Processing, Fusion, Text Mining ; Fuzzy Systems ; Soft Computing

Abstract: The hesitant fuzzy set (HFS) is useful to deal with the situation that decision makers (DMs) assign several possible values to a fixed set. It is convenient to collect and deal with DMs’ preferences in group decision making. However, HFSs have the information loss problem and cannot tell DMs from each other in group decision making. In order to deal with these problems, we develop a generalized hesitant fuzzy set (GHFS) in this paper, which is an extension of the HFS.

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Paper citation in several formats:

Zhu, B. (2012). Generalized Hesitant Fuzzy Sets. In Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - FCTA; ISBN 978-989-8565-33-4; ISSN 2184-3236, SciTePress, pages 395-401. DOI: 10.5220/0004137803950401

@conference{fcta12,
author={Bin Zhu.},
title={Generalized Hesitant Fuzzy Sets},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - FCTA},
year={2012},
pages={395-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004137803950401},
isbn={978-989-8565-33-4},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - FCTA
TI - Generalized Hesitant Fuzzy Sets
SN - 978-989-8565-33-4
IS - 2184-3236
AU - Zhu, B.
PY - 2012
SP - 395
EP - 401
DO - 10.5220/0004137803950401
PB - SciTePress