fuzzy if-then rules
A Study on Associated Rules and Fuzzy Partitions for Classification
... Some fuzzy attributes indeed exist in real world situations, such as customer satisfaction and customer loyalties, ...a fuzzy approach (i.e., fuzzy numbers and membership functions) ...that ...
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Discovery of Fuzzy Hierarchical Association Rules
... hierarchical fuzzy association rule mining algorithm for extracting implicit knowledge from multi-level dataset is ...integrates fuzzy set concepts, data- mining technologies and multiple-level taxonomy to ...
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Optimization of Decision Rules in Fuzzy Classification
... employs fuzzy entropy to find the most efficient decision nodes (Weber, 1992; Yuan and Shaw, ...generating fuzzy decision tree, as it may not be able to generate best tree due to one-step ahead node ...
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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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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... a fuzzy plane ...and fuzzy logic is used to process knowledge in the form of fuzzy “if-then” ...and fuzzy rules are included in the enhancement ...
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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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Online Full Text
... derive fuzzy membership functions and fuzzy IF-THEN rules for fuzzy reduced order observer from data point to cancel disturbances at any rotational ...
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Online Full Text
... A crossover operation is applied to a selected random pair of fuzzy if–then rules with a pre-specified crossover probability. Note that the selected individuals for crossover operation should be different. ...
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Application of Fuzzy System Rules to Human Activity
... associates fuzzy intervals to describe their starting and ending ...on fuzzy intervals associated with their sub-events, which are atomic-level actions and/or other activities composed of their own ...the ...
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Volume 3, Issue 4, April 2014 Page 116
... and fuzzy deals with the data uncertainty [11]. Fuzzy logic provides mathematical ...framework. Fuzzy methodology is generated to deal with brightness, edges and geometric ...features. Fuzzy ...
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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
... the fuzzy Controller. The fuzzy controller employs the fuzzy rules that are constructed based on the experience and expertise of the database ...final fuzzy control rules that ...
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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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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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Development Of Control System For Solar Plant Using Genetic Fuzzy PID Techniques
... In this system, there are two main parts: GUI-main function and the operation of the solar plant control system by using the method of genetic algorithms. If the shape of the membership function for the output is not ...
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DESIGN, ANALYSIS AND OPTIMIZATION OF A MICROSTRIP PATCH ANTENNA AT FREQUENCY 3 55 GHZ FOR WIMAX APPLICATION
... Looney’s fuzzy reasoning algorithm supported by Fuzzy Petri Net(FPN)is further extended for representing the fuzzy production rules in a knowledge based system which is provided with ...
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Comparison of Traditional Approach for Edge Detection with Soft Computing Approach
... Fuzzy logic is to map an input space to an output space and for doing this a list of if then statements called rules are evaluated in parallel .These Rules are u[r] ...
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Analyzing Semiconductor component's market sales data to create an Expert Fuzzy inference system
... probability rules are extracted from Quarterly list OEM's Information Order in Semiconductor ...extract rules form OEM purchase behavior data by Data collection and statistical methods of data mining and ...
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... the fuzzy sets, the next task in the FLC design process is to elicit the control ...the fuzzy reasoner has only two inputs, each of which can fall into any of seven fuzzy regions, writing the ...
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Fuzzy Modeling using Neural Gas
... of rules means one when the threshold θ of inference error is achieved in ...of rules and RM’s for learning and test are shown, where RM means the rate of ...TS fuzzy model for most ...
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