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rule base generation

Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation

Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation

... Fuzzy rule interpolation (FRI) alleviates the problem of lack of expertise and/or data for rule base generation, as FRI enables the performance of inference upon sparse rule bases ...

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Curvature-based sparse rule base generation for fuzzy rule

interpolation

Curvature-based sparse rule base generation for fuzzy rule interpolation

... fuzzy rule base generation and to extend the three-dimensional curvature idea into high-dimensional ...sparse rule base generation method into real-world problems, including ...

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Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

... Fuzzy rule base generation has been intensively studied in the ...Data-driven rule base generation was proposed to minimise the involvement of human ex- ...dense rule ...

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An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation

An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation

... TSK-style rule bases, which is a further devel- opment on the seminal work of Li et ...TSK-style rule base generation approach is also proposed to extract compact and concise rule bases ...

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REDUCTION OF FAULT TIME IN SMART GRID SYSTEM USING FUZZY LOGIC CONTROLLER

REDUCTION OF FAULT TIME IN SMART GRID SYSTEM USING FUZZY LOGIC CONTROLLER

... i) Fault IndexThe fault current index is the first input parameter. This index of the fault current has been divided into three categories: Low, Medium and High. The low Fault Index value starts at 0 and goes all the way ...

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Knowledge-based Systems and Interestingness Measures: Analysis with Clinical Datasets

Knowledge-based Systems and Interestingness Measures: Analysis with Clinical Datasets

... first rule. The in- stances covered by this rule are removed from the training data and the process is then repeated to generate the second ...for rule gener- ation: extracting rules from decision ...

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A Product Review Using Rule Base And Fuzzy Logic Approach

A Product Review Using Rule Base And Fuzzy Logic Approach

... It is the basic sentiment analyasis structure of system architecture. Sentiment analyasis it has different structure. Includes a word, sentance and documents level. Data collection and identification process is measure ...

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Dynamic-link rule base in fuzzy inference system

Dynamic-link rule base in fuzzy inference system

... A dynamic-link rule base (DLRB) was introduced into the conventional fuzzy inference system for the purpose of dynamically skipping the unfired rules and linking the f[r] ...

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The phonology of English loan-words in Korean

The phonology of English loan-words in Korean

... In its treatment of loan-words from English, vowel length has often been distinguished in transcription into hank l by writing a vowel letter twice for a long vowel as if it consisted of two identical vowels in a row, ...

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Applying DNA Computation to Error  Detection Problem in Rule Based Systems

Applying DNA Computation to Error Detection Problem in Rule Based Systems

... As rule-based systems (RBS) technology gains wider acceptance, the need to create and maintain large knowledge bases will assume greater ...a rule base to be free from error remains one of the ...

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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

... depression induced by exercise relative to rest), thallium scan and age as inputs. The status of the patients as healthy or sick has been used as output. Four types of sickness has been used as output. These are Sick ...

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Automated Rule Base Completion as Bayesian Concept Induction

Automated Rule Base Completion as Bayesian Concept Induction

... a rule base R, we use the pellet reasoner to compute the set of inferred axioms (subclasses, equivalent classes, sub-object proper- ties and equivalent object properties), and we add the corre- sponding ...

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Commonsense Knowledge Base Completion and Generation

Commonsense Knowledge Base Completion and Generation

... Knowledge generation There are several stud- ies on the knowledge generation task that use neural network ...the generation model. Our CKB generation model explicitly incorpo- rates relation ...

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RULE BASE DATA MINING SYSTEMS FOR CUSTOMER QUERIES

RULE BASE DATA MINING SYSTEMS FOR CUSTOMER QUERIES

... association rule mining and ...association rule mining, various new rules found can be updated in Rule ...association rule is "strong" if its confidence value is greater than a ...

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Improving security requirements adequacy: an interval type 2 fuzzy logic security assessment system

Improving security requirements adequacy: an interval type 2 fuzzy logic security assessment system

... The follow up interviews helped us verify the participants’ inputs, check for mistakes, and identify false positives. By false positives, we mean that participants could provide assessments that match the results of the ...

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Taylor Rule in Emerging Countries. Romanian Case

Taylor Rule in Emerging Countries. Romanian Case

... board rule indicates that monetary authority should maintain a fixed ratio between a reserve currency and its monetary ...(1993) rule and monetary based instrument rules known as the McCallum (1988) ...

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Automatic Rule Generator via FP-Growth for Eye Diseases Diagnosis

Automatic Rule Generator via FP-Growth for Eye Diseases Diagnosis

... the rule-based expert system has been continuously developed as reported ...a rule-based expert system is, it can be developed ...a rule-based is one of "barrier in the process of development of ...

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A Study and Analysis of Ant phishing Schemes in Cryptography

A Study and Analysis of Ant phishing Schemes in Cryptography

... In [6] the approach is div ided into three sections which are - reg istration phase, login phase and share recovery phase. In registration phase contain the same process as we discussed previously that the user enter the ...

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Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

... The experience of individuals are used and stored in information repository called belief space. These experiences can be used by other individuals. In other words, the members of the population share their experiences ...

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Automatic Extraction of Constructional Schemas

Automatic Extraction of Constructional Schemas

... mited data available, and then represent these phe- nomena visually in a way that is compatible with the Cognitive Grammar descriptive framework (as a constructionist approach to grammar; henceforth CG). Our grand goal ...

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