Interval valued bipolar fuzzy weighted neutrosophic sets and their application
Version 2 2024-06-06, 10:46Version 2 2024-06-06, 10:46
Version 1 2019-05-22, 12:40Version 1 2019-05-22, 12:40
conference contribution
posted on 2024-06-06, 10:46authored byI Deli, Y Şubaş, F Smarandache, M Ali
Interval valued bipolar fuzzy weighted neutrosophic set(IVBFWN-set) is a new generalization of fuzzy set, bipolar fuzzy set, neutrosophic set and bipolar neutrosophic set so that it can handle uncertain information more flexibly in the process of decision making. Therefore, in this paper, we propose concept of IVBFWN-set and its operations. Also we give the IVBFWN-set weighted average operator and IVBFWN-set weighted geometric operator to aggregate the IVBFWN-sets, which can be considered as the generalizations of some existing ones under fuzzy, neutrosophic environments and so on. Finally, a decision making algorithm under IVBFWN environment is given based on the given aggregation operators and a real example is used to demonstrate the effectiveness of the method.
History
Pagination
2460-2467
Location
Vancouver, B.C.
Start date
2016-07-24
End date
2016-07-29
ISBN-13
9781509006250
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2016, IEEE
Editor/Contributor(s)
[Unknown]
Title of proceedings
FUZZ-IEEE : Proceedings of the 2016 IEEE International Conference on Fuzzy Systems
Event
IEEE International Computational Intelligence Society. Conference (2016 : Vancouver, B.C.)
Publisher
Institute of Electrical and Electronics Engineers
Place of publication
Piscataway, N.J.
Series
IEEE International Computational Intelligence Society Conference