Mamdani fuzzy inference rules
Weighted Mamdani-type Fuzzy Inference System Based on Relative Ideal Preference System
... weighted rules using soft computing approaches (Ramakrishnan and Rao, 1992; Lu and Chan, 1997; Zolghadri and Mansoori, ...using fuzzy subsethood values between the term of attributes and alternatives was ...
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LOAD FREQUENCY CONTROL OF HYBRID POWER SYSTEM USING INTELLIGENT CONTROLLERS
... the fuzzy logic based control has widely received attentions in a range of power systems applications ...process. Fuzzy systems consist of membership functions describing the fuzzy sets and ...
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SYSTEM IDENTIFICATION AND CONTROL OF MAGNETIC BEARING SYSTEMS
... different fuzzy inference methods, the Mamdani and Sugeno methods, have been ...of rules, two different inference methods, different membership functions, different t-norm and s-norm ...
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Comparison of Mamdani and Sugeno Fuzzy Inference System Models for Resonant Frequency Calculation of Rectangular Microstrip Antennas
... of rules and the premise parameters of Sugeno FIS were determined by the fuzzy subtractive clustering method and then the consequent parameters of each output rule were determined by using linear least ...
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Identifying Risk Factors of Diabetes using Fuzzy Inference System
... using fuzzy logic classifiers. Partitioning of membership functions in a fuzzy logic inference system has been ...fuzzy rules. Singla [14] develops a performance comparison between ...
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Development of Genetically tuned Fuzzy dynamic model for nonlinear dynamical systems: Application on reaction section of Tennessee Eastman process
... recurrent fuzzy modeling through Mamdani approach, whose inference system is optimized by genetic ...the Mamdani approach, the proposed method surmounts the need to solve various types of ...
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MATHEMATICAL MODELS OF THREATS OF UNAUTHORIZED ACCESS TO SENSITIVE INFORMATION OF MOBILE NETWORK SUBSCRIBERS AND MEASURES TO PROTECT MOBILE SYSTEM
... Expert systems are computer-based system that uses knowledge, facts and reasoning techniques in solving problems that usually can only be solved by an expert in a particular field. In this research, expert systems are ...
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GUI Based Mamdani Fuzzy Inference System Modeling To Predict Surface Roughness in Laser Machining
... developed Fuzzy Expe rt System fo r machinability data sets on the web, where the results produce by the system was compared with the data fro m mach ining ...consistent fuzzy rule based model estimated ...
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Performance Assessment of Heat Exchanger Using Mamdani Based Adaptive Neuro-Fuzzy Inference System (M-ANFIS) and Dynamic Fuzzy Reliability Modeling
... T-S fuzzy inference system works well with linear techniques and guarantees continuity of the output surface (Tan et al ...T-S fuzzy inference system has difficulties in dealing with the ...
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Analysis of Groundwater Quality using Mamdani Fuzzy Inference System (MFIS) in Yazd province, Iran
... The results of the rules were combined and defuzzified via center of gravity method. On this basis, 60 groundwater samples were assessed. Table 4 presents the obtained data. The importance of FIS method is ...
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Path Loss Correction for Signal Propagation amongst Low Roof Top Buildings using Fuzzy Logic
... mentioned Fuzzy Inference system based ...as fuzzy sets such as free space, flat terrain, low foliage terrain, high foliage terrain, and country side ...profiles, Mamdani Fuzzy ...
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Fuzzy Rules to Improve Traffic Light Decisions in Urban Roads
... For example, in some cases, the system recommends aggregating 2 or 3 seconds to the green light interval and this action does not reflect an increment in the service level of the analyzed line. In spite of this, it is ...
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IMPLEMENTATION OF VOICE-BASED FATIGUE DETECTION SYSTEM
... The fuzzy logic is nothing but the rule based system in order to make a well ...decision. Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is ...
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Prediction Of Blood Sugar In People According To Such Inputs As Age, Simulation Level, Bmi, And Diet By Using Of Fuzzy Control And Adaptive Nero-Fuzzy Inference System(Anfis)
... a fuzzy system exists a knowledge base consisting of fuzzy if-then ...a fuzzy system is obtaining a collection of fuzzy if-then regulations of the knowledge of experts or the area under ...
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Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)
... IF-THEN rules. Fuzzy system can be classified in two types, Mamdani-type and ...IF–THEN rules, whose antecedents and consequents utilize fuzzy ...The Mamdani model [16] follows ...
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A Recommender System for Web Mining using Neural Network and Fuzzy Algorithm
... using fuzzy –neural ...using fuzzy clustering method. Then, by using fuzzy inference system, fuzzy rules based on related clusters and user’s interests are extracted and after ...
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Symmetric I* Restriction Method of Fuzzy Inference
... of fuzzy logic, fuzzy inference plays a vital role in the fields of fuzzy control, artificial intelligence, affective computing, image processing and so ...of fuzzy inference are ...
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PERFORMANCE APPRAISAL USING BASIC T- NORMS BY SOFTWARE FUZZY ALGORITHM
... exact. Fuzzy logic is based on fuzzy set theory which is the extension of classical set theory where elements have varying degrees of ...Where Fuzzy uses entire interval between 0 (false) and 1(true) ...
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Deduction of reservoir operating rules for application in global hydrological models
... two rules with approximately similar firing ...two fuzzy rules (see ...The rules with re- gards to high inflows are used less frequently (see ...
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Fuzzy Inference System for Edge Detection in Flat Electroencephalography Image
... Therefore, fuzzy approach is introduced in edge detection in order to overcome the ...paper, fuzzy inference system (FIS) is applied to determine the boundary of the epileptic foci of Flat ...
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