[PDF] Top 20 Sistema de control de inventarios para la microempresa “Decorlim”, ubicada en el cantón de Cotacachi, provincia de Imbabura

... Abstract:- Fuzzy set is very convenient method for representing some form of ...the fuzzy set theory is its ability to represent mathematically a class of decision problems called multiple objective ...the ... See full document

... learning techniques as Fuzzy logic (FL), Artificial Neural network (ANN), Case based reasoning (CBR) and Rule based system (RBS) are important techniques that are used in prediction and forecasting ... See full document

... [15], membership function essen- tially embodies all fuzziness in a particular Fuzzy set, and its description is the essence of a Fuzzy property or ...determining membership functions ... See full document

... in fuzzy logic (FL), artificial neural networks (ANN) and evolutionary computation ...of fuzzy modeling techniques in COCOMO and the Function- Points models, respectively ...[11]. Fuzzy Logic ... See full document

... Various techniques are being used for detecting the presence of fatigue in human ...paper, implementation of voice-based fatigue detection system is presented for detecting the presence of fatigue in human ... See full document

... and implementation of temperature controller using Intelligent Fuzzy Hybrid PID Controller for Temperature control in Process ...intelligent fuzzy-controller for determination of the optimal results ... See full document

... Certain membership functions can be used to fuzzify the data so that the private date is not disclosed during data mining ...with Fuzzy logic in Privacy preserving data ...of fuzzy-based ... See full document

... do. Fuzzy Logic is built around the concept of reasoning in degrees, rather than in Boolean (yes/no 0/1) terminology like computers ...combining fuzzy sets. The combination of fuzzy sets defined for ... See full document

... derive fuzzy membership functions and fuzzy IF-THEN rules for fuzzy reduced order observer from data point to cancel disturbances at any rotational ... See full document

... the fuzzy logic controller, the reference speed is set as a ...of fuzzy controller and other to store the error in the memory to compute the change in ...to Fuzzy logic ...of Fuzzy Logic ... See full document

... The reason of proposing the neuro-fuzzy logic is because the traditional classification of one and zero can be misleading. More specifically in economic literature, economic depressions are discriminated from ... See full document

... a fuzzy based transformation approach that uses Z-shaped fuzzy membership function, Triangular membership function and Gaussian membership functions for data ...the ... See full document

... In this paper, we have discussed fuzzy numerical solution of elliptic partial differential equation taking Poisson’s Equation (in two variable) into consideration. While solving this equation numerically at ... See full document

... The fuzzy logic and fuzzy set theory deal with non-probabilistic uncertainties ...The fuzzy control system is based on the theory of fuzzy sets and fuzzy ...of fuzzy inference ... See full document

... algebras. Fuzzy sets were initiated by Zadeh ...a fuzzy set by an interval-valued fuzzy set (i.e., a fuzzy set with an interval-valued membership ...interval-valued fuzzy set is ... See full document

... intuitionistic fuzzy mathematical programming with exponential membership and quadratic non-membership functions in matrix games, Annals of Fuzzy Mathematics and Informatics, 9(2) ... See full document

... and fuzzy logic to calculate effort of the software developed. Fuzzy logic comes under soft computing, which is based on non- algorithmic ...project. Fuzzy logic introduces the concept of ... See full document

... in fuzzy logic theory, no doubt almost all of them report the superiority of fuzzy logic systems over the conventional methods, may cause the readers get lost in this big ocean; and frankly speaking, only a ... See full document

... In this paper, we have introduced the concept of Intuitionistic Fuzzy BRK-ideal of BRK- algebra with Interval-valued Membership and Non Membership Functions and studied their properties. In ... See full document

... These functions are then combined using the multi-objective optimization to find an optimal solution which maximizes ...objective functions. These functions may so complicated that preventing the ... See full document