Results 61 to 70 of about 1,885 (163)

Selection of an Appropriate Global Partner for Companies Using the Innovative Extension of the TOPSIS Method with Intuitionistic Hesitant Fuzzy Rough Information

Axioms
In this research, we introduce the intuitionistic hesitant fuzzy rough set by integrating the notions of an intuitionistic hesitant fuzzy set and rough set and present some intuitionistic hesitant fuzzy rough set theoretical operations. We compile a list
Attaullah, Sultan Alyobi, Mohammed Alharthi, Yasser Alrashedi   +3 more
doaj   +1 more source

Hesitant Fuzzy $$\beta $$ β -Covering $$({\mathcal {I}},$$ ( I , $${\mathcal {O}})$$ O ) Rough Set Models and Applications to Multi-attribute Decision-Making

International Journal of Computational Intelligence Systems
The hesitant fuzzy $$\beta $$ β -covering rough set offers stronger representational capabilities than earlier hesitant fuzzy rough sets. Its flexibility makes it more suitable for hesitant fuzzy multi-attribute decision-making (MADM).
Jingyi Wang, Songtao Shao, Xiaoyan Mao, Xiaohong Zhang   +3 more
doaj   +1 more source

A complete ranking principle for trapezoidal Hesitant fuzzy sets and its application in solving trapezoidal Hesitant fuzzy linear programming problems

Complex & Intelligent Systems
Decision-making is significant in economics, education, management, industries, and many real-life situations. Every decision-making problem does not have crisp parameters and restrictions, and may have uncertainties and qualitative information ...
Rakhi Bihari, S. Jeevaraj, Dragan Pamucar   +2 more
doaj   +1 more source

TRAPEZOİDAL LİNGUİSTİC CUBİC HESİTANT FUZZY TOPSIS METHOD AND APPLİCATİON TO GROUP DECİSİON MAKİNG PROGRAM

Journal of New Theory, 2017
– In this paper, we define a new idea of trapezoidal linguistic cubic hesitant fuzzy number. We discuss some basic operational laws of trapezoidal linguistic cubic hesitant fuzzy number and hamming distance of trapezoidal linguistic cubic hesitant fuzzy ...
A. Fahmi, S. Abdullah, F. Amin
doaj  

Some T-Spherical Hesitant Fuzzy Shapley Bonferroni Mean Operators and Their Applications

IEEE Access
In this paper, some T-spherical hesitant fuzzy Bonferroni mean aggregation operators have been developed by extending the Bonferroni mean to the T-spherical hesitant fuzzy environment. The attribute weights are calculated by using the Shapley function to
Yongfeng Pang, Wei Yang
doaj   +1 more source

Hesitant Fuzzy Sets and Hesitant Fuzzy Preference Relations [PDF]

Industrial Engineering & Management, 2013
openaire   +1 more source

Group decision making in the analytic hierarchy process by hesitant fuzzy numbers. [PDF]

Sci Rep, 2023
Ranjbar M, Effati S.
europepmc   +1 more source

Three-way group decisions using evidence theory under hesitant fuzzy linguistic environment. [PDF]

Sci Rep, 2023
Ding W, Li X, Shen X.
europepmc   +1 more source

Proximity structures on hesitant fuzzy sets and Its application. [PDF]

Sci Rep
Pankaj, Singh R, Rao RVNS.
europepmc   +1 more source

A novel decision making approach based on Picture Hesitant Fuzzy Environment for optimizing art education strategies. [PDF]

Sci Rep
Liu Y.
europepmc   +1 more source