if-then fuzzy rules
PROPOSED MODELS OF ADAPTIVE KNOWLEDGE AGGREGATOR
... a Fuzzy rule based classifier for software quality data and its performance is compared with Bayesian ...The fuzzy rules have been generated using Fuzzy C-Means ...First, Fuzzy C-Means ...
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Fuzzy Controlled Architecture for Performance Tuning of Database Management System
... on fuzzy logic is ...to fuzzy variables. The fuzzy control module uses the fuzzy rules comprising of IF THEN kind of statements on the fuzzy input variables to decide on the ...
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A Novel Fuzzy Based DC–DC Boost Converter with Balanced Output & High Voltage Gain
... The fuzzy inference system combines fuzzy IF–THEN rules for mapping from fuzzy sets in the input space X to the output space Y based on fuzzy logic ...In fuzzy logic, knowledge ...
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Fast Learning Algorithm for Fuzzy Inference Systems using Vector Quantization
... of fuzzy in- ference systems using vector quantization (VQ) and steepest descend method (SDM) are superior in terms of the number of ...the fuzzy rule arrangement by using VQ, the second one determines the ...
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... the Fuzzy Inference ...human. Fuzzy image enhancement is one of the image enhancement techniques. Fuzzy logic deals with approximation rather than fixed and exact reasoning with studying of ...
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An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization
... FLCs are developed to utilize human expert knowledge in controlling various systems, in particular those ill-defined and nonlinear systems [6]. It is well known that while fuzzy rules are relatively easy to ...
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Precision Spraying System of Crops Disease Stress Based on Acoustic Emission
... provided fuzzy rules extraction method. This paper rules were extracted method is according to experts and on site working staff experience and fuzzy reasoning synthesis method combining ...
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Online Full Text
... evolutionary fuzzy system (EFS) in Figure 2 is considered for each of the classes of the classification problem ...antecedent fuzzy sets using only the five linguistic values ...antecedent fuzzy ...
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... of fuzzy logic control is the lack of a systematic methodology for developing fuzzy ...a fuzzy logic controller (FLC) often needs to be manually adjusted on a trial-and-error basis in order for the ...
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Privacy Preserving Fuzzy Modeling for Secure Multiparty Computation
... of fuzzy inference system for SMC and proved the validity of ...of fuzzy modeling compared to other learning methods is that input and output relation for learning data is represented as fuzzy ...
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... the Fuzzy Inference ...human. Fuzzy image enhancement is one of the image enhancement techniques. Fuzzy logic deals with approximation rather than fixed and exact reasoning with studying of ...
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Online Full Text
... design fuzzy reduced order observer for solving the problem of unbalance in magnetic bearing ...the fuzzy rules for reduced order observer to achieve rejection of ...that fuzzy observer can ...
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International Journal of Computer Science and Mobile Computing
... Abstract— Image segmentation on surgical images plays a vital role in diagnosing and analyzing the anatomy of human body. The area of image segmentation has made an extensive ideology for classifying biomedical images. ...
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Optimization of Decision Rules in Fuzzy Classification
... generate fuzzy decision rules as both neural networks and fuzzy systems are functionally equivalent despite of different ...a fuzzy logic system and any continuous, discrete fuzzy logic ...
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Fuzzy Modeling using Neural Gas
... to fuzzy modeling with simplified fuzzy inference ...of fuzzy rules including the weights in the consequent part by using NG and supervised ...simplified fuzzy modeling is demonstrated ...
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Analyzing Semiconductor component's market sales data to create an Expert Fuzzy inference system
... probability rules of sales to determine decisions ...extract fuzzy rules and fuzzy inference for an expert system based on designed rules and predictor of future sales in the ...
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Nanopositioning Fuzzy Control for Piezoelectric Actuators
... first fuzzy control application was developed by Mamdani and his research group ...The fuzzy control is based on the development of fuzzy logic, as in 1965, Zadeh wrote a paper in which he introduced ...
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IMPLEMENTATION OF VOICE-BASED FATIGUE DETECTION SYSTEM
... Abstract: Long duration assignments of work and mental stress cause the development of physical and mental fatigue. Various techniques are being used for detecting the presence of fatigue in human body. If a person is ...
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Alternative Fuzzy Algebra for Fuzzy Linear System Using Cramers Rules on Fuzzy Trapozoidal Number
... positive fuzzy number and negative fuzzy number using the area of positive-x axis and negative-x axis, and then will given algebra modification in multiplying two numbers of ...
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DESIGN, ANALYSIS AND OPTIMIZATION OF A MICROSTRIP PATCH ANTENNA AT FREQUENCY 3 55 GHZ FOR WIMAX APPLICATION
... c) On transition firing, tokens are not removed from the input places. This is because the evolution of the rules means the only the truth propagation of the propositions. In other words, the truth of proposition ...
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