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[PDF] Top 20 Fuzzy Automata Induction using Construction Method

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Fuzzy Automata Induction using Construction Method

Fuzzy Automata Induction using Construction Method

... a construction algorithm for second-order single-layer recurrent neural network which adds a second-order recurrent hidden neuron at a time to adapt the topology of the network in addition to the change of the ... See full document

6

Application of Fuzzy Algebra in Automata theory

Application of Fuzzy Algebra in Automata theory

... a fuzzy class of ...of fuzzy classification of system was first hinted at by Zadeh ...in fuzzy pattern classification.We now mention some other way  fuzzy abstract algebra has been ...some ... See full document

6

Biomolecular computers with multiple restriction enzymes

Biomolecular computers with multiple restriction enzymes

... developed using one restriction enzyme as hardware and DNA frag- ments (the transition molecules) as software and input/output ...by using two restriction ...algorithmic method for the ... See full document

11

Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study

Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study

... Finally, Fuzzy Inference Systems (FIS) are rule-based models described by logic operators in rules that establish relationships between fuzzy sets ...fuzzification; fuzzy rules’ definition and ... See full document

15

A NOVEL ARTIFICIAL HYDROCARBON NETWORKS BASED SPACE VECTOR PULSE WIDTH MODULATION CONTROLLER FOR INDUCTION MOTORS

A NOVEL ARTIFICIAL HYDROCARBON NETWORKS BASED SPACE VECTOR PULSE WIDTH MODULATION CONTROLLER FOR INDUCTION MOTORS

... to induction motors have been overcome through torque-flux control techniques so their advantages over direct current motors have made them to be the most common electric actuator found behind industrial ...fact, ... See full document

22

Study of Electric charge induction with a three-dimensional model using the finite elements method

Study of Electric charge induction with a three-dimensional model using the finite elements method

... In a general case, all bodies are called electrically neutral, i. e., the amount of positive and negative charges distributed in the bodies are the same[2]. However, there are three different ways to charge an ... See full document

5

A method for solving fully fuzzy linear system with trapezoidal fuzzy numbers

A method for solving fully fuzzy linear system with trapezoidal fuzzy numbers

... with fuzzy numbers [22]. Fuzzy number arithmetic is widely applied and useful in computation of linear system whose parameters are all or partially represented by fuzzy ... See full document

16

Ranking green electronic supplier in auto industry using fuzzy Delphi

Ranking green electronic supplier in auto industry using fuzzy Delphi

... industry using fuzzy Delphi. The proposed study uses the fuzzy analytic hierarchy process for weighing criteria and VIKOR method to rank the ... See full document

6

Pesqui. Oper.  vol.37 número2

Pesqui. Oper. vol.37 número2

... In Table 8, attention should be focused on those teams that wanted to avoid relegation. When we combine the conservative pessimistic GV scores, Newcastle United is not found among the possible candidates for relegation. ... See full document

31

Fuzzy control of induction motor with reduced rule base

Fuzzy control of induction motor with reduced rule base

... The biggest drawback of direct torque control is that ASIC switching is not optimal switching. This would be clear if we consider a particular case. Suppose torque and flux levels are below their differential hysteresis ... See full document

13

A fuzzy model for exploiting customer requirements

A fuzzy model for exploiting customer requirements

... Nowadays, Quality function deployment (QFD) is one of the total quality management tools, where customers’ views and requirements are perceived and using various techniques improves the production requirements and ... See full document

10

MRI Brain Image Tissue Segmentation analysis using Possibilistic Fuzzy C-means Method

MRI Brain Image Tissue Segmentation analysis using Possibilistic Fuzzy C-means Method

... To address the problems of FPCM a new possibilistic fuzzy c-mean (PFCM) algorithm was proposed in [14].In this algorithm the constraint of the typicality values has been relaxed to overcome the problem of FPCM. ... See full document

5

THIRD PARTY LOGISTIC SERVICE PROVIDER SELECTION USING FUZZY AHP AND TOPSIS METHOD

THIRD PARTY LOGISTIC SERVICE PROVIDER SELECTION USING FUZZY AHP AND TOPSIS METHOD

... selection using fuzzy logic ...As fuzzy set theory became an important problem modeling and solution technique due to its ability of modeling problems quantitatively and qualitatively those involve ... See full document

9

Application of Multi Criteria Decision Making approaches for personnel selection problem: A survey

Application of Multi Criteria Decision Making approaches for personnel selection problem: A survey

... number, fuzzy numbers, and intuitionistic fuzzy ...situations, fuzzy MCDM methods (Fuzzy MADM and fuzzy MODM) have been ...In Fuzzy MCDM methods data are imprecise, unknown, and ... See full document

16

The Interval Constructor on classes of ML-algebras

The Interval Constructor on classes of ML-algebras

... We had introduced a semantic for fuzzy logic using bounded lattices in [BS05], where we generalized the propositional classic connectives and fuzzy and interval fuzzy connectives using t[r] ... See full document

75

A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm

A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm

... of fuzzy sets, proposed by Zadeh [3], has gained successful applications in various ...between fuzzy sets, as an important content in fuzzy mathematics, have gained attention from researchers for ... See full document

12

Bifundamental fuzzy 2-Sphere and fuzzy killing spinors

Bifundamental fuzzy 2-Sphere and fuzzy killing spinors

... SU(2) fuzzy 2-sphere and other spaces, is that the matrix indices give rise to the dependence on the sphere coordinates and the index α is a global symmetry ... See full document

28

Edge Detection Using Fuzzy Logic

Edge Detection Using Fuzzy Logic

... behind fuzzy reasoning are very simple. What makes fuzzy nice is the “naturalness” of its approach and notits far- reaching ...analysis). Fuzzy set theory and fuzzy logic offer powerful tools ... See full document

3

Balanced Distribution of Load on Grid Resources using Cellular Automata

Balanced Distribution of Load on Grid Resources using Cellular Automata

... the method of collecting necessary task load for load balancing ...Cellular Automata (CA) is an answer to this question that how to study complex ...Cellular Automata can be a complex system in ... See full document

8

Stability of Fuzzy Elman Neural Network Using Joint Spectral Radius Spectral Radius of Matrix Dynamic Systems

Stability of Fuzzy Elman Neural Network Using Joint Spectral Radius Spectral Radius of Matrix Dynamic Systems

... The fuzzy modeling is generally presented to overcome these ...the method for stability analysis a common positive definite matrix P i should be found to satisfy a set of Lyapunov equations ... See full document

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