Results 11 to 20 of about 10,832,301 (165)
On t-Conorm Based Fuzzy (Pseudo)metrics [PDF]
We present an alternative approach to the concept of a fuzzy (pseudo)metric using t-conorms instead of t-norms and call them t-conorm based fuzzy (pseudo)metrics or just CB-fuzzy (pseudo)metrics.
Olga Grigorenko +3 more
doaj +4 more sources
On sensible fuzzy ideals of BCK-algebras with respect to a t-conorm
We introduce the notion of sensible fuzzy ideals of BCK-algebras with respect to a t-conorm and investigate some of their properties. We give the conditions for a sensible fuzzy subalgebra with respect to a t-conorm to be a sensible fuzzy ideal with ...
M. Akram, Jianming Zhan
doaj +2 more sources
Algorithm for Energy Resource Selection Using Priority Degree-Based Aggregation Operators with Generalized Orthopair Fuzzy Information and Aczel–Alsina Aggregation Operators [PDF]
Many aggregation operators are studied to deal with multi-criteria group decision-making problems. Whenever information has two aspects, intuitionistic fuzzy sets and Pythagorean fuzzy sets are employed to handle the information.
Maria Akram +3 more
doaj +3 more sources
Pythagorean and fermatean fuzzy sub-group redefined in context of T ̃-norm and S ̃-conorm [PDF]
This paper aims to study Pythagorean and Fermatean Fuzzy Subgroups (FFSG) in the context of -norm and -conorm functions. The paper examines the extensions of fuzzy subgroups, specifically "Pythagorean Fuzzy Subgroups (PFSG)" and "FFSG", along with ...
Vishnu Mishra +3 more
doaj +3 more sources
Schweizer and Sklar invented the idea of the Schweizer-Sklar t-norm and Schweizer-Sklar t-conorm in 1960. Additionally, prioritized aggregation operators were derived by Yager in 2008.
Tehreem +3 more
doaj +2 more sources
Decision making by hybrid probabilistic: Possibilistic utility theory [PDF]
It is presented an approach to decision theory based upon nonprobabilistic uncertainty. There is an axiomatization of the hybrid probabilistic possibilistic mixtures based on a pair of triangular conorm and triangular norm satisfying restricted ...
Pap Endre
doaj +2 more sources
The Intuitionistic Fuzzy Normed Space of Coefficients [PDF]
Intuitionistic fuzzy normed space is defined using concepts of t-norm and t-conorm. The concepts of fuzzy completeness, fuzzy minimality, fuzzy biorthogonality, fuzzy basicity, and fuzzy space of coefficients are introduced. Strong completeness of fuzzy
B. T. Bilalov +2 more
doaj +2 more sources
In decision making problems, complex q-rung orthopair fuzzy set is regarded as a more practical tool than complex intuitionistic fuzzy set and q-rung orthopair fuzzy set.
Jawad Ali, Muhammad Naeem
doaj +1 more source
Vague and fuzzy t-norms and t-conorms [PDF]
t-norms and t-conorms are the natural connectives “and” and “or” in fuzzy logic. The unit interval with a t-norm or a t-conorm is a special monoid and some submonoids like discrete t-norms and t-conorms have been proved useful in many cases. In the first
Recasens Ferrés, Jorge +3 more
core +1 more source
The theory of SS t-norm and t-conorm was derived by Schweizer and Sklar in 1960 by involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and vague data. with the help of parameter Γ¯¯=-1,1, we can easily derive the information
Harish Garg +4 more
doaj +1 more source

