T-norm
Vertex Domination in t-Norm Fuzzy Graphs
... of t-norm fuzzy graphs which include complete t-norm fuzzy graph, complete bipartite t-norm fuzzy graph, star t-norm fuzzy graph and empty t-norm ...
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9. Conservative and dissipative for t-norm and t-conorm and residual fuzzy co-implication
... stable t-norm and t-conorm are introduced then the new concepts of dissipative and conservative for t-norm and t-conorm are studied with ...
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Theory of Fuzzy Soft Matrix and its Multi Criteria in Decision Making Based on Three Basic t-Norm Operators
... 2.19. t-Norm [10]: Let T : [0,1] x [0,1] be a function satisfying the following axioms: i) T( a , 1 ) = a , ∀ a ∈ [0,1] (Identity) ii) T(a, b) = T(b ,a) , ∀ a ,b ∈ [0,1] ...
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Structural Design Optimization using Basic T Norm and T Conorm based Intuitionistic Fuzzy Optimization Technique
... Weighted aggregation has been used quiet extensively especially in fuzzy decision making ,where the weight are used to represent the relative importance and the negligence the decision maker attaches to different ...
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Intuitionistic Fuzzy Soft Matrix Theory and Multi Criteria in Decision Making Based on T Norm Operators
... In this paper, we give some basic properties of intuitionistic fuzzy soft matrix and use the concept of level operators of intuitionistic fuzzy set to define intuitionistic soft level matrix and its properties with ...
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A t Norm Fuzzy Logic for Approximate Reasoning
... A t-norm fuzzy logic is presented, in which a triangular norm (t-norm) plays the role of a graduated conjunction operator. Based on this fuzzy logic we de- velop methods for fuzzy ...
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Intuitionistic fuzzy G-modules relative with a t-norm
... Therefore, A = (µ A , ν A ) is an IF G − submodule of M with respect to a t−norm T . The converse is obvious. Corollary 5.4. Let A be a non-empty subset of a G − module M . Then (χ A , χ c A ) is an ...
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On imaginable T fuzzy subalgebras and imaginable T fuzzy closed ideals in BCH algebras
... a t-norm T , we introduced the notion of (imaginable) T -fuzzy subalgebras and (imaginable) T -fuzzy closed ideals, and obtained some related ...and T -product of T - ...
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Compositional Rule of Inference and Adaptive Fuzzy Rule Based Scheme with Applications
... The fuzzy composition eventually combines the different rules to have a single conclusion. Minimum T-norm for if block, Mamdani for Implication and Maximum S- norm for Aggregation are used. Centroid ...
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Vol 2, No 3 (2011)
... The study of common fixed points of mappings in a fuzzy metric space satisfying certain contractive conditions has been at the center of vigorous research activity. In 1965, the concept of fuzzy sets was introduced by ...
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Common fixed point theorems in intuitionistic fuzzy metric spaces
... continuous t-norm and continuous t- conorm) as a generalization of fuzzy metric spaces (due to George and Veeramani [6]) and also proved some basic results which include Baire’s theorem (a necessary ...
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T fuzzy ideals in BCI algebras
... Zadeh [8] introduced the notion of fuzzy sets. Many researchers have applied this con- cept to mathematical branches, such as semigroup, loop, group, ring, semiring, field, near ring, vector spaces, topological spaces, ...
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Interval Computations For Fuzzy Relational Equations And Cooperative Game Theory
... the t-norm is a lower semicontin- uous (LSC) function, then there is a maximum solution, but minimal solutions may not ...the t-norm is an upper semicontinuous (USC) function, then there exist ...
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Quasi homogeneous associative functions
... KEY WORDS AND PHRASES: Triangular norm t-norm, homogeneous function, probabilistic metric space.. INTRODUCTION Let I [0, be the closed unit interval on the real line R.[r] ...
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Fuzzy Optimization Technique for Pareto Optimal Solution of Structural Models with Stress constraints
... the t-norm into fuzzy set theory and suggested that the t-norms be used for the intersection of fuzzy ...of t-norms theory and their fuzzy inference methods were introduced by Gupta ...
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Vol 7, No 3 (2016)
... of T-fuzzy ideals of rings and T-fuzzy ideals of ...of T-fuzzy bi-ideals using t-norm and t-norm (λ,µ)-fuzzy bi-ideals in near-ring and investigate some related ...
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Row and Column-Max-Average Norm and Max-Min Norm of Fuzzy Matrices
... The norm of a matrix is a measure of how large its elements ...The norm of a square matrix A is a non negative real number denoted by A ...matrix norm but they all share the following properties: ...
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Modeling social norms increasingly influences costly sharing in middle childhood
... Interestingly, the slight hints of effects of Treatment in the Rule Norm and No Norm DG conditions are also with the Low-value Coins. Though we do not have a clear idea of why this might be the case, it ...
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FREEDOM ACT (Discretionary Power) AND ITS IMPLEMENTATION AS OBJECT CORRUPTION ANALYSIS OF THE DECISION NUMBER 2420.K / SPECIAL CRIMES / 2013 SPECIAL CRIMINAL CASSATION CASES
... (vage norm), ie whether the interpreted with public ...a norm of giving freedom to the agency or official of the state administration to take an action according to the considerations to do or not do ...
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Interventionist norm development in international society : the responsibility to protect as a norm too far?
... the norm of intervention on humanitarian grounds, despite its limitations and imperfections, was testimony to a humanity that cared more, not less, for the suffering in its midst, and a humanity that would do ...
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