fuzzy if-then rule
Compositional Rule of Inference and Adaptive Fuzzy Rule Based Scheme with Applications
... Adaptive fuzzy rule based scheme provides clean decision to buy, hold and ...adaptive fuzzy rule based indicator that describes the region of buying and selling ...
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Software Quality Prediction using Fuzzy Rule based System
... Development of software quality, development effort etc is a common application of software metrics. A new tool as Fuzzy Logic offers a good technique for building models for software quality prediction. This ...
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Comparative Analysis Of Fuzzy Association Rule Mining Algorithms
... Association Rule Mining (ARM) is a one of the significant technique to find correlation, casual patterns from large ...association rule mining algorithms work in two phases, namely frequent itemset ...
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Architectures of evolving fuzzy rule based classifiers
... evolving fuzzy classifier method called eClass is studied in respect to its architecture and evolution of the fuzzy ...initial fuzzy rule-based classifier, generated beforehand in off-line ...
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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... and fuzzy arithmetic, was first introduced by Nie and Linkens ...if-then rule according to the similar characteristics of in- put vectors; while the weight vectors between the Kohonen and Grossberg layers ...
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Islanding Detection In Distributed Generation By Using Fuzzy Rule Based
... the fuzzy member- ship functions (MFs) are developed and the corresponding rule base is formulated for islanding ...the fuzzy MFs are merged based upon similarity the measure for reducing the ...
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Fuzzy Association Rule by Classification Technique
... the fuzzy association rule then it is difficult to find the minimum frequency because of distinct fuzzy values of data ...put fuzzy values to different classes and the no of classes act as ...
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MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM
... the fuzzy rule ...when fuzzy logic is utilized as the tool for optimizing performance which suggest the implementation of this approach in optimizing ...different fuzzy rule base in ...
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Fuzzy Classification Based On Fuzzy Association Rule Mining
... in fuzzy association rule mining by integrating fuzzy set concepts [Kuok 1998], [Hong 2001], [Chen ...of fuzzy association rule mining is a set of fuzzy rules with linguistic ...
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HYBRID DIMENSION MINING BY FUZZY ASSOCIATION RULE
... dimension fuzzy association rule is one of the important processes in data mining ...as fuzzy sets allow partial membership. In fuzzy data there are three values namely 0 indicating that an ...
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A Review on Fuzzy Mining Association Rule Techniques
... design fuzzy association rule for better ...but fuzzy mining association rule is better than ...of fuzzy mining association rule will also be discussed in this ...
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Effective Association rule mining using Fuzzy Apriori and Weighted Fuzzy Apriori
... weighted fuzzy association rule mining are presented in (Lu, 2002; Wang & Zhang, 2003; Yue et ...different fuzzy linguistic intervals and weights assigned to each linguistic ...
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Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education
... of fuzzy FMEA model for supporting stu- dents undertaking ...on fuzzy inference ...voting fuzzy rule-based classification. Fuzzy rule-based classification is a challenging ...
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On-line rule tuning grey prediction fuzzy control system design for reliable stability of interconnected power system & hvdc in deregulated environment
... functions of the fuzzy logic controller presented in Fig.6 consist of three memberships functions (two-inputs and one- output) [1]. Each membership function has seven memberships comprising two trapezoidal and ...
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Online Full Text
... on fuzzy genetic ...as rule generation and optimization tools in the design of fuzzy rule based systems ...of fuzzy rule-based systems are usually referred to as fuzzy ...
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Load Frequency Control in Deregulated Power System using Fuzzy C Means
... proposed fuzzy logic based controllers to power systems [9][12][14]. Fuzzy logic is a rule-based approach to decision ...etc.). Fuzzy C-Means (FCM) is a Clustering algorithms permit ...
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Online Full Text
... In this paper we proposed the efficient algorithm for mining fuzzy association rules. The FCBAR algorithm creates cluster table to aid discovery of fuzzy large itemsets. Contrasts are performed only ...
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“An Interval Type-2 Fuzzy Logic Approach for Induction Motors Stator Condition Monitoring”
... type-2 fuzzy logic approach may help to diagnose induction motor ...type-2 fuzzy logic system (IT2FLS), which can handle rule ...type-2 fuzzy logic (IT2FLS) involves the operations of ...
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LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL
... Fuzzy Rule Interpolation (FRI) is of particular importance for fuzzy reasoning when there is lacking knowledge or sparse fuzzy rule ...antecedent fuzzy sets, no rule ...
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A TSK Type Recurrent Neuro Fuzzy Systems for Fault Prognosis
... NF models usually identified from empirical data are not very transparent. Transparency accounts a more meaningful description of the process i.e. less rules with appropriate membership functions. In ANFIS [2] a fixed ...
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