Let be a strong intuitionistic fuzzy uniformly convex normed space satisfying (1.1).
If is a strong intuitionistic fuzzy uniformly convex normed space, then it is a intuitionistic fuzzy uniformly convex normed space.
Let ((X, M, T) ) be a complete strong fuzzy metric space with positive t-norm T and let (f : X to X).
Let ((X, M, T) ) be a compact strong fuzzy metric space and let (varphi: [0,1] rightarrow[0,1] ) satisfying conditions (AD1) and (AD2) such that varphibigl(T r, s bigr) leqvarphi(r) + varphi(s),quad r, s inbigl{ M x, fx, t): x in X, t > 0bigr}.
"There's a warm fuzzy feeling.
It has a large number of application, for instance, in the computer programming [1], engineering problems [2], statistical convergence [3 7], nonlinear operator [8], best approximation [9] etc. Particularly, fuzzy differential equation is a strong topic with large application areas, for example, in population models [10], civil engineering [11] and so on.
Note that by ((X, M, T) ) is defined a strong complete fuzzy metric space with respect to the triangular norm (T a, b) = a cdot b ) and φ satisfies conditions (AD1) and (AD2).
Let be a nonempty -intuitionistic fuzzy weakly compact convex subset of a strong intuitionistic fuzzy uniformly convex normed space satisfying (1.1).
These will be a pair of fuzzy little ears.
