Results 11 to 20 of about 436,772 (296)

On inf-Hesitant Fuzzy Γ-Ideals of Γ-Semigroups

open access: yesAdvances in Fuzzy Systems, 2022
The notions of an inf-hesitant fuzzy Γ-ideal and a sup,inf-hesitant fuzzy Γ-ideal, which are a generalization of an interval-valued fuzzy Γ-ideal, of a Γ-semigroup are introduced and some properties are investigated.
Pongpun Julatha, Aiyared Iampan
doaj   +2 more sources

Dual Hesitant Fuzzy Probability [PDF]

open access: yesSymmetry, 2017
Intuitionistic fuzzy probabilities are an extension of the concept of probabilities with application in several practical problem solving tasks. The former are probabilities represented through intuitionistic fuzzy numbers, to indicate the uncertainty of the membership and nonmembership degrees in the value assigned to probabilities.
Chen, Jianjian, Huang, Xianjiu
openaire   +4 more sources

Certain Concepts of Q-Hesitant Fuzzy Ideals

open access: yesJournal of Function Spaces, 2022
The hesitant fuzzy set model has attracted the interest of scholars in various fields. The striking framework of hesitant fuzzy sets is keen to provide a larger domain of preference for fuzzy information modeling of deployment membership.
Lubna Abdul Aziz Alleheb   +1 more
doaj   +2 more sources

Dual Hesitant Fuzzy Sets [PDF]

open access: yesJournal of Applied Mathematics, 2012
In recent decades, several types of sets, such as fuzzy sets, interval‐valued fuzzy sets, intuitionistic fuzzy sets, interval‐valued intuitionistic fuzzy sets, type 2 fuzzy sets, typenfuzzy sets, and hesitant fuzzy sets, have been introduced and investigated widely. In this paper, we propose dual hesitant fuzzy sets (DHFSs), which encompass fuzzy sets,
Bin Zhu 0017, Zeshui Xu, Meimei Xia
openaire   +5 more sources

On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data

open access: yes, 2017
Since the notion of hesitant fuzzy set was introduced, some clustering algorithms have been proposed to cluster hesitant fuzzy data. Beside of hesitation in data, there is some hesitation in the clustering (classification) of a crisp data set. This hesitation may be arise in the selection process of a suitable clustering (classification) algorithm and ...
Laya Aliahmadipour   +2 more
openaire   +3 more sources

EXTENDED HESITANT FUZZY SETS [PDF]

open access: yesTechnological and Economic Development of Economy, 2017
Hesitant fuzzy sets (HFSs) are a useful tool to manage situations in which the decision makers (DMs) hesitate about several possible values for the membership to assess a variable, alternative, etc. However, HFSs have the information loss problem and cannot identify different DMs, which interferes with the application of HFSs in decision making.
Zhu, Bin, Xu, Zeshui
openaire   +4 more sources

New types of hesitant fuzzy sets on UP-algebras [PDF]

open access: yesMathematica Moravica, 2018
The concepts of sup-hesitant fuzzy UP-subalgebras, sup- hesitant fuzzy UP-filters, sup-hesitant fuzzy UP-ideals, and sup-hesitant fuzzy strongly UP-ideals are introduced, proved some results and discussed the generalizations of these concepts ...
Phakawat Mosrijai   +2 more
doaj   +2 more sources

Dual Extended Hesitant Fuzzy Sets [PDF]

open access: yesSymmetry, 2019
Hesitant fuzzy sets extend fuzzy sets by considering many-valued sets of membership degrees. Real applications validate this model and decision making approaches of various forms permit to act in a flexible manner. If we can avail ourselves of hesitant information on non-membership degrees too, then dual hesitant fuzzy sets provide a natural extension ...
José Carlos R. Alcantud   +3 more
openaire   +3 more sources

Entropy on Intuitionistic Fuzzy Sets and Hesitant Fuzzy Sets

open access: yesJournal of Mathematics, 2022
Since the sufficient conditions for the maximum value of the intuitionistic fuzzy entropy are not unified and the hesitant fuzzy entropy cannot be compared when the lengths of the hesitation fuzzy elements are not equal, improved axiomatic definitions of
Bicheng Yu   +4 more
doaj   +2 more sources

Hesitant Fuzzy Topological Spaces

open access: yesMathematics, 2020
In this study, we define a hesitant fuzzy topology and base, obtain some of their properties, respectively, and give some examples. Next, we introduce the concepts of a hesitant fuzzy neighborhood, Q-neighborhood, closure, and interior and obtain some of
Jeong-Gon Lee, Kul Hur
doaj   +2 more sources

Home - About - Disclaimer - Privacy