Hesitant fuzzy soft sets with application in multicriteria group decision making problems - PubMed Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015:2015:806983.
doi: 10.1155/2015/806983. Epub 2015 Jan 20.

Hesitant fuzzy soft sets with application in multicriteria group decision making problems

Affiliations

Hesitant fuzzy soft sets with application in multicriteria group decision making problems

Jian-qiang Wang et al. ScientificWorldJournal. 2015.

Abstract

Soft sets have been regarded as a useful mathematical tool to deal with uncertainty. In recent years, many scholars have shown an intense interest in soft sets and extended standard soft sets to intuitionistic fuzzy soft sets, interval-valued fuzzy soft sets, and generalized fuzzy soft sets. In this paper, hesitant fuzzy soft sets are defined by combining fuzzy soft sets with hesitant fuzzy sets. And some operations on hesitant fuzzy soft sets based on Archimedean t-norm and Archimedean t-conorm are defined. Besides, four aggregation operations, such as the HFSWA, HFSWG, GHFSWA, and GHFSWG operators, are given. Based on these operators, a multicriteria group decision making approach with hesitant fuzzy soft sets is also proposed. To demonstrate its accuracy and applicability, this approach is finally employed to calculate a numerical example.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Zadeh L. A. Fuzzy sets. Information and Computation. 1965;8(3):338–353.
    1. Bellman R. E., Zadeh L. A. Decision-making in a fuzzy environment. Management Science. 1970;17:B141–B164.
    1. Yager R. R. Multiple objective decision-making using fuzzy sets. International Journal of Man-Machine Studies. 1977;9(4):375–382. doi: 10.1016/S0020-7373(77)80008-4. - DOI
    1. Zadeh L. A. Fuzzy logic and approximate reasoning. Synthese. 1975;30(3-4):407–428. doi: 10.1007/BF00485052. - DOI
    1. Pedrycz W. Fuzzy sets in pattern recognition: methodology and methods. Pattern Recognition. 1990;23(1-2):121–146. doi: 10.1006/0031-3203(90)90054-O. - DOI

Publication types

LinkOut - more resources