[PDF] Top 20 A GENERALIZED FUZZY JOHNSON ALGORITHM

... LR-type fuzzy number have been used with Johnson algorithm & CDS algorithm to schedule n-jobs on m-machine with uncertain completion ...new generalized fuzzy Johnson ... See full document

... of fuzzy sets, which became a cornerstone of modern fuzzy ...VIs, fuzzy mapping and random mappings, in 1997, Huang 25 introduced the concept of random fuzzy mappings and studied the random ... See full document

... new algorithm to find the fuzzy maximal flow between source and sink was proposed by Kumar et ...triangular fuzzy numbers as network ...of generalized fuzzy numbers in many cases [8]. ... See full document

... a fuzzy value to each training ...adding fuzzy values to the standard SVM [13, 14, 17, ...adding fuzzy to GEPSVM have been illustrated as in [15, 16, ...a fuzzy version of the GEPSVM ... See full document

... for fuzzy clustering with generalized entropy and use Lagrange method to obtain membership of samples and centers of ...adaptive fuzzy clustering algorithm with the generalized entropy ... See full document

... Abstract—The fuzzy integral (FI) is an extremely flexible aggregation ...feature, algorithm, sensor, confidence) ...and fuzzy measure (FM) for the case of higher-order uncertain information (both ... See full document

... genetic algorithm for solving the fuzzy weighted equilibrium and multi-job assignment ...genetic algorithm to solve a generalized assignment problem with imprecise cost(s)/ time(s), in which ... See full document

... The assignment problem (AP) is a well studied tropic in combinatorial optimization. It has a well connection in production planning, telecommunication, VLSI design, economics etc., where it deals with the question how to ... See full document

... of generalized trapezoidal intuitionistic fuzzy numbers, matchings and a method to rank the generalized trapezoidal intuitionistic fuzzy ...intuitionistic fuzzy LBAP in section 4, we ... See full document

... of Fuzzy inference procedure of Fuzzy ID3 ...authors generalized a fixed-point theorem in fuzzy metric spaces by using a class of continuous t-norms known as ω-Yager t-norms, which was ... See full document

... section 2, some basic definitions, rank and divergence function and arithmetic operations for interval and generalized trapezoidal fuzzy numbers are discussed. In section 3, we propose an algorithm ... See full document

... In fact μ associates with each ∈ X gives a grade of membership function in the set . When μ takes values only 0 or 1, there is no uncertainty about it and a set is said to be a crisp (i.e. non-fuzzy) set. Some ... See full document

... standardized algorithm to establish the causal relationship between drugs and SJS/TEN based on 6 parameters, the time from the ingestion of the drug and the start of the reaction, the probability of presence of ... See full document

... [10] D. Ramot, R. Milo, M. Friedman and A. Kandel, Complex fuzzy logic, IEEE trans. fuzzy syst. 10(2) (2002), 171-186. [11] D. Ramot, M. Friedman, G. Langholz and A. Kandel, Complex fuzzy sets, IEEE ... See full document

... a generalized intuitionistic fuzzy Hausdorff topological ...is generalized intuitionistic fuzzy locally compact on an intuitionistic fuzzy set A in X iff for every generalized ... See full document

... source. Fuzzy set theory, Rough set theory, Vague set, theory of probability are a mathematical tool to handle the uncertainty arising due to ...of fuzzy set ...as Generalized Fuzzy Soft Set ... See full document

... The generalized inviscid Proudman-Johnson equation serves as a model for n-dimensional incompressible Euler flow, gas dynamics, the orientation of waves in a massive director field of a nematic liquid ... See full document

... of fuzzy subgroup [3] has been dominating the world of fuzzy algebra in an unprecedented manner in the last couple of decades, which in turn motivated the researchers to investigate similar type of ... See full document

... quasicontractive fuzzy mappings and pro- vide the necessary and sufficient conditions of having a unique endpoint for such ...β-ψ-quasicontractive fuzzy mappings, es- tablishing an endpoint result for ... See full document

... called fuzzy information measure. The fuzzy information measure has found wide applications to Engineering, Fuzzy traffic control, Fuzzy aircraft control, Computer sciences, management and ... See full document