TY - GEN
T1 - Generalized hesitant fuzzy sets
AU - Zhu, Bin
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Decision Making
KW - Generalized Hesitant Fuzzy Set (GHFS)
KW - Hesitant Fuzzy Set (HFS)
UR - http://www.scopus.com/inward/record.url?scp=84886903413&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84886903413
SN - 9789898565334
T3 - IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence
SP - 395
EP - 401
BT - IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence
T2 - 4th International Joint Conference on Computational Intelligence, IJCCI 2012
Y2 - 5 October 2012 through 7 October 2012
ER -