Fixed points in intuitionistic fuzzy metric spaces
By C. Alaca, D. Türkoğlu, C. Yildiz. 2006
305 citations recorded by the source corpus.
Subfields: Geometry and Topology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ef4ebc5302016fd457902dfa018a920567afdbe7
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In Geometry and Topology
In Management Science and Operations Research
Citations in the corpus
- Common fixed point theorems in intuitionistic fuzzy metric spaces (2006, methodology): “Definition 1. A binary operation :[ 0,1] ◊ [0,1] ! [0,1] is continuous t-norm if is satisfying the following conditions: (i) is commutative and associative; (ii) is continuous; (iii) a 1= a for all a 2 [0, 1 ]; (iv) a b c d whenever a c and b d for all a,b,c,d 2 [0,1] [27].”
- Statistical convergence on intuitionistic fuzzy normed spaces (2008, methodology): “A binary operation * : [0, 1 ] · [0, 1] ! [0, 1] is said to be a continuous t-norm if it satisfies the following conditions:”
- Common Fixed Point Theorems in Intuitionistic Fuzzy Metric Spaces (2010, background): “3 [4] A 5-tuple (X, M, N, * , ◊) is said to be an intuitionistic fuzzy metric space if X is an arbitrary set, * is a continuous t-norm, ◊ is a continuous t-conorm and M, N are fuzzy sets on X(2) × [0, ∞) satisfying the following conditions: 1) M(x, y, t) + N(x, y, t) 1 for all x, yX and t > 0; 2)”