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On Clarifying Some Definitions And Notations Used For Type-2 Fuzzy Sets As Well As Some Recommended Changes
(ELSEVIER SCIENCE INCNEW YORK, 2016)
On Clarifying Some Definitions And Notations Used For Type-2 Fuzzy Sets As Well As Some Recommended Changes
(Elsevier Science INCNew York, 2016)
Hardware implementation of type-2 programmable fuzzifier
(2011-05-20)
The design of full programmable type-2 membership function circuit is presented in this paper. This circuit is used to implement the fuzzifier block of Type-2 Fuzzy Logic Controller chip. In this paper the type-2 fuzzy set ...
Hardware implementation of type-2 programmable fuzzifier
(2011-05-20)
The design of full programmable type-2 membership function circuit is presented in this paper. This circuit is used to implement the fuzzifier block of Type-2 Fuzzy Logic Controller chip. In this paper the type-2 fuzzy set ...
An iterative algorithm for fuzzy mixed production planning based on the cumulative membership functionAlgoritmo iterativo para la planeación de la producción mixta basado en la función acumulativa de pertenencia
(Ingeniería, 2011-07)
This paper shows an application of a novel algorithm for Fuzzy Linear Programming (FLP) problems with both fuzzy technological coefficients and constraints, which deals with any kind of fuzzy membership functions for ...
Smoothing switched control for uncertain T-S fuzzy systems with unknown membership functions, actuator saturation and disturbance
(Ieee, 2016-01-01)
This paper proposes conditions that ensure local ultimate bounded stability for nonlinear systems constrained to a region of operation, subject to actuator saturation and persistent norm-bounded disturbance. The nonlinear ...
Smoothing switched control for uncertain T-S fuzzy systems with unknown membership functions, actuator saturation and disturbance
(2016-11-07)
This paper proposes conditions that ensure local ultimate bounded stability for nonlinear systems constrained to a region of operation, subject to actuator saturation and persistent norm-bounded disturbance. The nonlinear ...
Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata
Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
Obtaining the membership function by using the neural network in Istanbul stock exchange to find the relation between the low and closing prices
(Pontificia Universidad Católica del PerúPE, 2017)