fuzzy rule base approach
TSK Inference with Sparse Rule Bases
... TSK fuzzy model, which is not only able to deal with sparse TSK fuzzy rule bases, but also able to directly gen- erate crisp ...individual rule in the rule ...TSK approach, the ...
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Title: A Review on Fuzzy Rule-Base Expert System Assessment Possibility of Allergy
... a fuzzy expert approach which is a combination of expert system and fuzzy ...a rule base and then stored in knowledge based. Fuzzy logic will take part as an inference engine ...
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Designing of rule base for a TSK- fuzzy system using bacterial foraging optimization algorithm (BFOA)
... and fuzzy decision making to identify the optimum location and size for capacitors in a distributed radial ...he approach utilizes the natural selection of global optimum bacterium having successful ...
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Curvature-based sparse rule base generation for fuzzy rule interpolation
... based fuzzy rule interpolation" (intermediate-rule ...diate rule such that its antecedent is as “close" (given a fuzzy distance metric) to the given observation as possible ...
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Load Frequency Control in Deregulated Power System using Fuzzy C Means
... of fuzzy controller has been proposed to design the FCM controller for the solution of LFC problem in a deregulated power ...the rule base is determined by experience and control knowledge of human ...
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Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation
... Abstract. Fuzzy inference systems have been successfully applied to many real-world ...Traditional fuzzy inference systems are only applicable to problems with dense rule bases covering the entire ...
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A Fuzzy Rule Base System for the Diagnosis of Heart Disease
... Ranjana Raut, S. V. Dudul[6] have used a neural network based approach for intelligent system in the diagnosis of heart disease. They have used classifiers based on various neural networks namely multilayer ...
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A Framework for Selection of Membership function using Fuzzy Rule Base System for the Classification of Yeast Data
... learning approach by which the classification has been ...with fuzzy rule ...the fuzzy rule base system. After that, fuzzy rule base has been applied on the ...
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A semi-automated design of instance-based fuzzy parameter tuning for metaheuristics based on decision tree induction
... semi-automated approach for designing (fuzzy logic) IPTS whereby the classification rules are derived from automatically generated decision ...(fuzzy) rule base for parameter tuning. ...
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A Product Review Using Rule Base And Fuzzy Logic Approach
... It is the basic sentiment analyasis structure of system architecture. Sentiment analyasis it has different structure. Includes a word, sentance and documents level. Data collection and identification process is measure ...
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MOGA FOR MULTILEVEL FUZZY ASSOCIATION RULE WITH MSFM APPROACH
... best rule to be inserted in the rule base in each iteration is selected among the non dominated solutions, using a criterion related to the accuracy of the rule ...the Rule Base ...
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MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM
... The cost of implementing Traffic Light Systems (TLSs) directly is quite high, and the importance of its proficiency requires that it first be simulated by tools before been put to use (Hao, Xingguo & Xuan, 2014; Qing ...
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Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems
... novel approach incorporating a fuzzy rule base technique and an Evidential Reasoning (ER) algorithm is applied to conduct the navigational risk assessment of an Inland Waterway Transportation ...
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Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation
... typical fuzzy inference system consists of mainly two parts, a rule base (or knowledge base) and an inference ...Compositional Rule of Inference [5], which is more intuitive and ...
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Fuzzy Expert System for the Selection of Effective Road to Travel
... the fuzzy rule base of the fuzzy expert system to derive linguistic values for the intermediate as well as the output linguistic ...a rule is assigned a degree of truth based on the ...
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FUZZY EXPERT SYSTEM FOR THE NON INVASIVE METHOD OF THE LIVER CIRRHOSIS
... of fuzzy logic is to map an input space to an output ...concurrently. Fuzzy logic is a powerful problem- solving methodology with a myriad of applications in embedded control and information ...
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Positioning Control of Separately Excited Dc Motor Drive by Using Self-Tuning Fuzzy-PID Controllers
... parameters fuzzy self-tuning is to find the fuzzy relationship between the three parameters of PID and "e" and "de", and according to the principle of fuzzy control, to modify the ...
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Fuzzy Controller Design of Lighting Control System by Using VI Package
... of fuzzy logic in lighting control has been presented in a number of ...applying fuzzy decision theory to distinguish various interfe- rences accurately and to make it operate reliably, which can turn on or ...
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AC motor speed performance improvement using fuzzy logic control
... T.D Dongale, S.R Jadhav, S.V Kulkarni, T.G Kulkarni, R.R Mudholkar and M.D Uplane [10], have describe the implementation of the controller based on PID and Fuzzy Logic strategies. They have made the comparative ...
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Online Full Text
... 3. OUR ALGORITHM (FCBAR) The performance is dramatically decreased in the process of many fuzzy association rule algorithms. This is due to the fact that a database is repeatedly scanned to contract each ...
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