[PDF] Top 20 A Similarity Based Fuzzy System as a Function Approximator

... of fuzzy sets to the design of systems was not obvious at all, as traditionally systems were described by numerical ...of fuzzy system. The idea of fuzzy system was initially viewed as ... See full document

... whose system behavior is not well ...to system parameters and operating conditions ...in, based on ...power system network. Very few literatures are reported on FL based UPFC‘s ... See full document

... tangent similarity measure of fuzzy sets is proposed and its properties are ...tangent similarity measure of fuzzy sets is a decision making tool which is characterized by the degree of ... See full document

... only based on the interests of other users but also the conceptual similarity between website pages is ...is based on the interest of users in the same clusters, improving quality of clusters ... See full document

... handling system control. A neural fuzzy approximator is proposed to adaptively model system’s nonlinear characteristics and to improve transient performance in tension and line speed ... See full document

... introduce fuzzy logic related to solve attendance assessment issues among universities and other ...given fuzzy logic result that includes; 1) Attendance marks of the students in the class, 2) Assignments ... See full document

... well-known fuzzy set-theoretic similarity measures using a key, but not exhaustive set of synthetic sample cases, fo- cusing on the comparison of both normal/non-normal and convex/non-convex fuzzy ... See full document

... term fuzzy identification usually refers to the techniques and algorithms for constructing fuzzy models from ...type fuzzy rule based ... See full document

... the fuzzy sets can be useful. In this study a new integrated model based on fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal ... See full document

... privacy) based on their traits over the Internet. In this paper, a neuro-fuzzy approach for the classification and prediction of user behaviour is ...Basis Function Neural Network (GRBF-NN) is ... See full document

... include fuzzy sets and systems, fuzzy neural networks, game artificial intelligence, deep reinforcement learning, brain– computer interface, and biosignal ... See full document

... 1965, Fuzzy set theory was firstly given by Zadeh [20] which is applied in many real applications to handle ...membership function itself is uncertain and hard to be defined by a crisp ...valued ... See full document

... of Fuzzy sets given by Baruah [2, ...existing similarity measures of Fuzzy set, based on the traditional Zadehian definition of complementation, have appeared ...new Similarity ... See full document

... non-singleton fuzzy logic controllers (NSFLCs) are capable of capturing input uncertainties, they have been effectively used to control and navigate unmanned aerial vehicles (UAVs) ...introduced ... See full document

... objects based on the edge detection method and constructs an intuitionistic fuzzy graph- based structure to maintain the corresponding information of every ...This system uses the ... See full document

... of system has been demonstrated adequately even in presence of ...of system dynamics is uncertain and only some input-output data is partly available, adaptive neuro-fuzzy inference system ... See full document

... of fuzzy integral based on pseudo- additive integral is very important, it will allow us to introduce Pettis integral and Bochner integral in the theory of fuzzy ... See full document

... P r quires detailed information of the system- oper design for engineering applications re- property distributions such as temperature, ve- locity, density, etc. in space and time domain [8, 9]. This information ... See full document

... Inference System for Heart ...MATLAB fuzzy logic toolbox are presented in Section 3 and experimental result indicates that the proposed Generating rules for Advanced Fuzzy Resolution Mechanism can ... See full document

... of fuzzy inference model for predicting ...work, fuzzy logic is applied in proposing a model to predict rainfall given the temperature of that particular geographical ...planning based on the ... See full document