Fuzzy Modeling
Fuzzy Modeling using Neural Gas
... Abstract—Fuzzy modeling has been extensively ...that fuzzy modeling methods using vector quantization (VQ) and steepest descent method (SDM) are effective in terms of the number of rules ...
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Privacy Preserving Fuzzy Modeling for Secure Multiparty Computation
... and fuzzy modeling is as follows [14] : In BP learning input and output relation for learning data is represented as weights of neurons of neural network, but it is difficult to know the interpretability of ...
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A fuzzy cooperative genetic algorithm for fuzzy modeling
... the fuzzy modeling which can make the knowledge obtained to be imprecise, wrong or simply uncertain (Tsipouras et ...the fuzzy modeling is the curse of ...many fuzzy parameters when it ...
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Application of the Fuzzy Modeling for Optimization of Transport Routes
... of fuzzy modeling. The theory of fuzzy sets makes it possible to apply a linguistic description of weakly structured processes, to establish a correlation between concepts and formalize fuzzy ...
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VARIOUS FUZZY MODELING TECHNIQUES AND FUZZY CONTROLLER DESIGN FOR NONLINEAR SYSTEM
... (TS) fuzzy systems with each local ...TS fuzzy modeling methods with linear and bilinear local ...a fuzzy bilinear model for a class of nonlinear ...with fuzzy blending of local linear ...
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Fuzzy Modeling using Vector Quantization with Supervised Learning
... simplified fuzzy model using VQ and SDM are effective in accuracy and the number of rules compared to other methods using only ...TS fuzzy inference model is superior in accuracy to the simplified ...
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Soil quality assessment using fuzzy modeling
... zy modeling approach could have distinct advantages com- pared to traditional methods of analyzing soil for soil qua- ...the fuzzy modeling approach are described ...
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Fuzzy Modeling for Quality Estimation of Fading Channel
... Our proposed strategy helps to detect the channel noise prior to transmission of data or signal over the wireless medium. Having knowledge of the noise level in advance further assists the engineers to determine the ...
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Fuzzy modeling for steel making processes
... In [3] Zmak and Filetin suggested a steel-making process control method based on predicting various mechanical and thermal properties of steel with definite chemical composition using artificial neural network. The goal ...
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Dietary Fibers Effect from Mango Peels and Date Seeds on Rheological properties of Arabic Bread Quality: A Novel approach on applying Fuzzy Modeling in Studying Rolling/Folding and Tearing values
... and fuzzy inference system (FIS) is an effective technique for the identification and modeling of complex nonlinear ...systems. Fuzzy logic is particularly attractive due to its ability to solve ...
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A new fuzzy set merging technique using inclusion based fuzzy clustering
... inclusion-based fuzzy clus- tering algorithm from Section II-B, we can now sketch the fuzzy modeling and simplification approach based on the proposed merging ...The modeling consists of three ...
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A New High-order Takagi-Sugeno Fuzzy Model Based on Deformed Linear Models
... (TS) fuzzy models are fitting ...TS fuzzy model, which provides both complexity and ...TS fuzzy model is done using an appropriate sigmoid-based membership function, which can represent a ...
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A Neuro Fuzzy System for Modeling the Depression Data
... of Fuzzy-C Means (FCM) and K-means (KM) clustering techniques were used for classifying depression grades using Beck’s Depression Inventory-II (BDI-II) ...neuro-fuzzy modeling has been performed ...
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Fuzzy Analysis of Knowledge Management
... inputs and determine the degree of their membership to each of fuzzy sets is a first step in the fuzzy inference system. As mentioned, seven input parameters (IT: Information Technology (Figure 2), OC: ...
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Online Full Text
... of fuzzy modeling systems, each of which estimates the value of one of the periodontal features from its specified ...Mendel’s fuzzy rule learning ...
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Effective Estimation of Modules’ Metrics in Software Defect Prediction
... of fuzzy modeling systems, each of which estimates the value of one of the hard- to-obtain features from its specified ...Mendel’s fuzzy rule learning ...
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Modeling of ipm synchronous generator by using fuzzy logic controller under variable speed
... scheme. Fuzzy logic adds to bivalent logic an capability to reason precisely with imperfect ...In fuzzy logic, results of reasoning are expected to be provably valid for ...
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Research and Application of FAHP in Bidding Quotation for Petroleum Geophysical Prospecting Project
... and fuzzy comprehensive evaluation, fuzzy hierarchical analysis (AHP) method of a deeper connotation, and further discusses its application in bidding quotation for petroleum geophysical prospecting ...
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The Arithmetical Edifices Of Strength Of Connectedness In Intuitionistic Fuzzy Soft Graphs
... include fuzzy set theory [1], soft set theory [2] and intuitionistic fuzzy set theory ...of fuzzy set proposed by Zadeh, have paved the way to handle vagueness, ambiguous, and fuzziness of ...
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Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery
... a fuzzy–based framework for the prioritization of health, safety and environment related risks posed against employees, working conditions, and process equipment in large gas ...and fuzzy rules were defined ...
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