Fuzzy Rule
Compositional Rule of Inference and Adaptive Fuzzy Rule Based Scheme with Applications
... of fuzzy information processing ...(SDE), fuzzy logic controllers (FLC), artificial neural networks (ANN) and genetic algorithms (GA) have a vast array of applications in finance and ...firstly fuzzy ...
14
Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education
... the fuzzy FMEA model also has problems related to the fuzzy rule-based and membership ...traditional fuzzy FMEA approach for risk evaluation on student projects by applying intelligent ...
14
Islanding Detection In Distributed Generation By Using Fuzzy Rule Based
... a fuzzy rule base by developing fuzzy MFs from the DT classification ...The fuzzy MFs reduction and rule base simplification are performed using similarity mea- ...a fuzzy ...
13
Software Quality Prediction using Fuzzy Rule based System
... a fuzzy rule based system and an ordinary multiple ...applying fuzzy logic is smaller than MMRE applying multiple regression; while the value of Pred ...applying fuzzy logic is higher than ...
5
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 ...
6
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 ...
6
Chain Coding and Pre Processing Stages of Handwritten Character Image File
... A fuzzy rule has two components, an if-part (referred as the antecedent) and a then-part (referred to as the ...a fuzzy rule is identical to that of a conventional rule in artificial ...
8
Effective Association rule mining using Fuzzy Apriori and Weighted Fuzzy Apriori
... association rule is an expression X Y , where X, Y are item sets and X Y = ...association rule X Y is the ratio of the number of transactions that contain X Y to the number of transactions that ...
6
Comparative Analysis Of Fuzzy Association Rule Mining Algorithms
... the fuzzy rules learning algorithm after developed in ...for fuzzy rule ...control rule learning (regression ...complete rule in the each iteration ...
5
LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL
... FRI techniques introduced as an alternative for classical inference system, many conditions and criteria were suggested as a step to unify FRI methods, but there are no particular examples to compare between the FRI ...
14
NODE RECOVERY IN WIRELESS SENSOR NETWORK USING GENETIC ALGORITHM AND FUZZY LOGIC
... the fuzzy rule set, the end to end delay will be reduced in number during the ...The fuzzy rule set was based on the nodes residual energy during the packet ...the rule set in the ...
7
Performance Analysis Of Dual Inverter For Pmsm Using Fuzzy Logic Controller
... on fuzzy rule-base in Fuzzy Logic speed Controller (FLC) for Dual Permanent Magnet Synchronous Motor (PMSM) ...Two fuzzy speed controllers which are standard and simplified fuzzy speed ...
8
Development of an automobile robot system model based on soft computing in an unsteady environment
... the fuzzy rule base were described, an optimizer of the number of features of fuzzy linguistic variables based on soft computing was ...of fuzzy model rule base allows controlling the ...
7
Fuzzy Classification Based On Fuzzy Association Rule Mining
... a fuzzy rule-based classifier. A fuzzy classifier can extract rules in a linguistic format that is more interpretable compared to other nonlinear approaches such as neural ...fact, fuzzy ...
129
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 ...
6
A Model of Cellular Automata for the Fuzzy Control of Aphids
... a fuzzy rule base that replaces differential equations, which characterize the classic deterministic models that are used to model the dynamics between preys and ...
9
Load Frequency Control in Deregulated Power System using Fuzzy C Means
... a fuzzy C-means controller proposed to the generation of optimal fuzzy rule base by Fuzzy C - Means clustering technique (FCM) for load frequency control in deregulated ...the fuzzy ...
8
A TSK Type Recurrent Neuro Fuzzy Systems for Fault Prognosis
... the Rule Layer (layer 3) and the one of the fuzzy rules are the same—each node represents one fuzzy rule and calculates the firing strength of the rule using membership degrees from ...
6
Intelligent System Stability using Type-2 Fuzzy Controller
... base, Fuzzy Inference Engine (FIE), Fuzzifier and Defuzzifier, these four components are worn to choose fuzzy rule which shows the human thinking, judgment and perception, to combine rules to develop ...
14
“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 ...
16