fuzzy AND
A fuzzy linear fractional programming problem with fuzzy homogeneous constraints in trapezoidal fuzzy numbers
... transforms the given problem in to another FLFPP with fewer fuzzy constraints. A relationship between these two problems, which ensure that the solution of the original problem can be recovered from the solution ...
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Strong Fuzzy Chromatic Polynomial (SFCP) of Fuzzy Graphs and Some Fuzzy Graph Structures with Applications
... For ensuring safe crossing at road intersections, conflict movements can be managed by using traffic control phases. Now to apply the proposed SFCP method for finding the optimized number of phases, first, we represent ...
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Solving fuzzy transportation problem using symmetric triangular fuzzy number
... a fuzzy solution for a two stage cost minimizing fuzzy transportation problem in which supplies and demands are trapezoidal fuzzy ...a Fuzzy Transportation ...a Fuzzy zero point method ...
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Fuzzy r continuous and fuzzy r semicontinuous maps
... is fuzzy r-open and g is fuzzy r -semiopen then g ◦ f is fuzzy ...is fuzzy r-closed and g is fuzzy r -semiclosed then g ◦ f is fuzzy r ...a fuzzy r -continuous (r-open, ...
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Study of Fuzzy Semi Open Sets in Fuzzy Topological Spaces
... of fuzzy continuous functions, Fuzzy Sets and Systems 86(1) (1997), ...Totally fuzzy semi continuous functions, ...On fuzzy semi continuity, fuzzy almost continuity and fuzzy ...
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Fuzzy Identity, Fuzzy Zero of Po Semigroup and Completely Prime Fuzzy, Prime Fuzzy Ideal of Po Semigroup
... a fuzzy set was introduced by Zadeh in ...of fuzzy subset to several areas of mathematics, among other ...the fuzzy semigroups ...of fuzzy subset of a ...the fuzzy identity and ...
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FUZZY β IRRESOLUTE MAPPING
... Now fuzzy semiopen sets in (𝑋, 𝜏) are 0 𝑋 , 1 𝑋 , 𝐴, 𝑉 where 𝑉 ≥ 𝐴 and that of fuzzy 𝛽-open sets in (𝑋, 𝜏) are 0 𝑋 , 1 𝑋 , 𝐴, 𝑈 where 𝑈 ≰ 1 𝑋 ...Again fuzzy semiopen sets in (𝑋, 𝜏 1 ) are 0 𝑋 , 1 𝑋 , ...
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Fuzzy gb Continuous Maps in Fuzzy Topological Spaces
... a fuzzy open set in X ...is fuzzy open in Y and A is fgb-closed set in ...a fuzzy b-closed set in Y, then f -1 (bCl(A)) is b-closed set in ...
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Fuzzy Logic Control System and its Applications
... the fuzzy sets theory with evidential ...the fuzzy sets theory (Zadeh, 1965) in risk assessment models is a good way to deal with uncertainty ...Moreover, fuzzy sets allow the introduction of verbal ...
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Fuzzy super irresolute functions
... a fuzzy topological structure, as an extension of both crisp topology and Chang fuzzy topology [1], in the sense that not only the objects are fuzzified, but also the ...
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REGULARIZATION BASED FUZZY GRAPH
... of fuzzy set was discussed by ...a fuzzy graph which was based on Zadeh's fuzzy ...considered fuzzy relations on fuzzy sets and developed the theory of fuzzy graphs in ...of ...
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A sugeno and tsukamoto fuzzy inference system for denoising medical images
... type fuzzy inference system for noise filtering in medical images is ...two fuzzy filters and a post processor The proposed method is suitable for various types of noisy images and it is highly preferred by ...
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Modified Fuzzy C-Means Algorithm and its Application
... “Adaptive segmentation of MRI data”, IEEE Trans. Medical Imaging , 1996, 15:429–442. 11. M. N. Ahmed, S. M. Yamany, “A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data”, IEEE ...
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Results in fuzzy metric spaces employing clrs and jclrst properties
... In view of their interesting applications, searching for fixed point theorems in fuzzy metric spaces has received considerable attention through the last decades. In particular, researchers are currently focusing ...
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On Fuzzy *µ - Irresolute Maps and Fuzzy *µ - Homeomorphism Mappings in Fuzzy Topological Spaces
... Example 5.09: Let X = Y = {a, b, c} and the fuzzy sets A, B, C, D and E be defined as follows. A={(a, 1), (b, 0), (c, 0)}, B = {(a, 0), (b, 1), (c, 0)}, C = {(a, 1), (b, 1), (c, 0)}, D={(a, 1), (b, 0), (c, 1)}, ...
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The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory
... The fuzzy adaptive PID part can improve the resisting ability and adaptive ability of the system to random disturbance, and the Smith predict control part can overcome the delay characteristic of the controlled ...
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Image Denoising Using Adaptive Neuro-Fuzzy System
... Abstract— In this paper, we propose a generalized fuzzy inference system (GFIS) in noise image processing. The GFIS is a multi-layer neuro-fuzzy structure which combines both Mamdani model and TS ...
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EXTENSION OF THE PROJECTION THEOREM ON HILBERT SPACE TO FUZZY HILBERT SPACE OVER FUZZY NUMBER SPACE
... A fuzzy number is an ordinary number whose precise value is somewhat ...uncertain. Fuzzy numbers are fuzzy subsets of the set of real numbers satisfying some additional ...conditions. Fuzzy ...
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Extension of the fuzzy integral for general fuzzy set valued information
... Abstract—The fuzzy integral (FI) is an extremely flexible aggregation ...and fuzzy measure (FM) for the case of higher-order uncertain information (both integrand and ...on fuzzy number- (FN), i.e., ...
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Diabetic prediction using fuzzy back propagation and analysis
... Jeroen Eggermont and Joost N. Kok and Walter A. Kosters were the first to work with the dataset .They used genetic algorithm. In the year 2004 Hastie, Trevor, et al tried the same dataset with the same data set and got a ...
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