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rule base

MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

... (FL) rule base which might result in computational burden on the traffic light ...FL rule base is proposed in this paper in order to optimize the traffic light control system ...

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RULE BASE DATA MINING SYSTEMS FOR CUSTOMER QUERIES

RULE BASE DATA MINING SYSTEMS FOR CUSTOMER QUERIES

... CRM Model is responsible for receiving and sending requests and responses to the customer directly. These requests include queries, complaints, suggestions and orders are forwarded to the Enterprise Resource Planning ...

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Analysis of techniques for anfis rule base minimization and accuracy maximization

Analysis of techniques for anfis rule base minimization and accuracy maximization

... various rule-base optimization techniques, proposed in literature, which are presented in motivation to simultaneously obtain rule-base minimization and accuracy ...ANFIS ...

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A Fuzzy Rule Base System for the Diagnosis of Heart Disease

A Fuzzy Rule Base System for the Diagnosis of Heart Disease

... fuzzy rule based system for the diagnosis of the heart disease has been ...fuzzy rule base system with an objective of the proper diagnosis of a ...

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Probability Rule base Clustering Approach for Heart Disease Risk Prediction

Probability Rule base Clustering Approach for Heart Disease Risk Prediction

... Before design of PRBC, A study is performed on different classification algorithms in data mining [15].Probability Rule base Classification algorithm is a classification of data based on probabilities. In ...

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A Product Review Using Rule Base And Fuzzy Logic Approach

A Product Review Using Rule Base And Fuzzy Logic Approach

... Abstract: Nowadays, internet has become used for various working in life. And it is helpful for the great development in resources, communications, online resources, blogs, discussion, conference forums etc. And it is ...

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Automated Rule Base Completion as Bayesian Concept Induction

Automated Rule Base Completion as Bayesian Concept Induction

... the rule base itself and partly from a pre-trained word ...model rule templates in this vector space embedding using Gaussian ...given rule base, and do not require that a database with ...

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Title: A Review on Fuzzy Rule-Base Expert System Assessment Possibility of Allergy

Title: A Review on Fuzzy Rule-Base Expert System Assessment Possibility of Allergy

... This paper has proposed a system to diagnose early symptoms of bird flu or avian influenza disease using a fuzzy expert approach which is a combination of expert system and fuzzy logic. A doctor will be a domain expert ...

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Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference

Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference

... distribution, rule weight, ...belief rule base is abstracted from expert’s control experiences to describe the high- ly nonlinear relationships between the variables of control system and PID ...

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improving rule base quality with rule classification PCAI 2003

improving rule base quality with rule classification PCAI 2003

... a rule-base can classify rules based on their level in this ...bottom rule does not call any other rule and should therefore be as efficient as possible, since it is potentially used by many ...

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Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

... The best individual in each different group of offspring is a representative of corresponding group and its fitness is assigned to chromosome in GA. Now that the fitness of each chromosome is calculated, it is possible ...

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Research of Intelligent Rule-base Based on Multilayer Intrusion Detection

Research of Intelligent Rule-base Based on Multilayer Intrusion Detection

... rules. Rule options in Snort have clear definitions, and have no affiliations with each other, and these rules offer abundant options to match various features of message ...improve rule matching ...

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A Fuzzified Approach for the Prediction of Fault Proneness and Defect Density

A Fuzzified Approach for the Prediction of Fault Proneness and Defect Density

... This has been used to find the fault proneness in software using the CK Metrics suite. For finding the fault proneness three inputs are considered: Coupling between objects (CBO), Response for a class (RFC), and Weighted ...

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Robust Fuzzy Control for 2-DOF Manipulator System

Robust Fuzzy Control for 2-DOF Manipulator System

... inverse models actually corresponds to choosing reference models for the acceleration signals that say “no matter what slew is commanded, the desired accelerations of the links should be zero” (why?). While it is clear ...

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The Effect of Translation Quality in MT Based Cross Language Information Retrieval

The Effect of Translation Quality in MT Based Cross Language Information Retrieval

... This paper explores the relationship be- tween the translation quality and the re- trieval effectiveness in Machine Transla- tion (MT) based Cross-Language Infor- mation Retrieval (CLIR). To obtain MT systems of ...

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Intelligent System Stability using Type-2 Fuzzy Controller

Intelligent System Stability using Type-2 Fuzzy Controller

... and rule base are the important things and it is difficult to ...the rule base IT2FS is used, to handle uncertainties, whereas for consequents T1FS is ...

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International Journal of Emerging Technology and Advanced Engineering

International Journal of Emerging Technology and Advanced Engineering

... and rule bases such as neural networks, genetic algorithms, evolutionary strategy, Kalman filters or numerical ...associated rule base were determined ...

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Incorporating Business Policies into Business Protocols

Incorporating Business Policies into Business Protocols

... policy rule base to calculate the price of an item and will then send the price, as a part of a quote message to the ...formal rule statement for Statement 3. This formal rule statement can ...

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Identification of Evolving Rule based Models

Identification of Evolving Rule based Models

... fuzzy rule-based (eR) models [9] use the informative potential of the new data sample as a trigger to update the ...of rule-base modification (replacement of a less informative rule with a ...

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Intrusion Detection of the ICS Protocol EtherCAT

Intrusion Detection of the ICS Protocol EtherCAT

... Snort rule base has been extended with EtherCAT specific rule options: (1) ecat: Detection related to the datagram header, (2) ecat_data: Analysis of the datagram payload field, (3) ecat_fmmu: ...

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