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fuzzy reasoning method

A Fuzzy Reasoning Method in Fault Diagnosis of House Transformer Simulating System

A Fuzzy Reasoning Method in Fault Diagnosis of House Transformer Simulating System

... Membership Functions of Both Fault Phenomenon and Fault Reason of House Transformer When setting up membership functions, theory domain of a fuzzy set should be firstly determined. A selected theory domain will ...

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Online Full Text

Online Full Text

... and fuzzy portfolio selection problems often have considered standard mean-variance model or safety first models introducing probability or fuzzy chance constraints based on modern portfolio theories ...

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Aggregation and pre-aggregation functions in fuzzy rule-based classification systems

Aggregation and pre-aggregation functions in fuzzy rule-based classification systems

... An effective way to cope with classification problems, among others, is by using Fuzzy Rule- Based Classification Systems (FRBCSs). These systems are composed by two main com- ponents, the Knowledge Base (KB) and ...

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Optimization under fuzzy if-then rules

Optimization under fuzzy if-then rules

... of fuzzy mathematical programming prob- lems and to provide a method for finding a fair solution to these ...of fuzzy if-then rules, where the antecedent part of the rules contains some linguistic ...

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Automated fuzzy-clustering for Doctus expert system

Automated fuzzy-clustering for Doctus expert system

... In deduction (there are about 200 software pieces in the world capable of that) rules are formulated by the expert of the domain. The knowledge engineer acquires the rules from the expert. The knowledge acquisition in ...

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Adaptive Fuzzy Game-based Energy Efficient Localization in 3D Underwater Sensor Networks

Adaptive Fuzzy Game-based Energy Efficient Localization in 3D Underwater Sensor Networks

... – O�ine Phase: We �rst introduce the process for collecting the training dataset. According to [24], the model trained by the generated synthetic data is able to generalize across new scenarios and can perform well in ...

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A Logic Framework for Non-Conscious Reasoning

A Logic Framework for Non-Conscious Reasoning

... In this paper, a framework for non-conscious ways of reasoning has been presented based on fuzzy 305. multivalued logic, fuzzy semantics and frame oriented knowledge representation[r] ...

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A Framework for Medical Diagnosis using Hybrid Reasoning

A Framework for Medical Diagnosis using Hybrid Reasoning

... case-based reasoning techniques were used for diagnosis of diseases like Diabetes ...two reasoning systems, a reasoning method named the hybrid reasoning system was used in a number ...

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Fuzzy Logic in KNIME Modules for Approximate Reasoning

Fuzzy Logic in KNIME Modules for Approximate Reasoning

... For fuzzy rule induction the FRL algorithm 1,12 was used as a ...constructs fuzzy clas- sification rules and can use nominal as well as nu- merical ...extracts fuzzy intervals for selected ...as ...

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 An Efficient Algorithm to Obtain the Optimal Solution for Fuzzy Transportation Problems

 An Efficient Algorithm to Obtain the Optimal Solution for Fuzzy Transportation Problems

... the Fuzzy Transportation problems by using a new algorithm namely EAVAM ...a method which applies it for ranking of the fuzzy ...a fuzzy transportation problem may be fuzzy or crisp ...

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A t Norm Fuzzy Logic for Approximate Reasoning

A t Norm Fuzzy Logic for Approximate Reasoning

... expressed as negations of the  and  correspondingly. It is a well-known fact that the operation implication in a fuzzy logic was the foundation of deci- sion making procedure for numerous approximate ...

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LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL

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 ...

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An integrated fuzzy risk assessment for seaport operations

An integrated fuzzy risk assessment for seaport operations

... novel fuzzy risk assessment approach to facilitating the treatment of uncertainties in seaport operations and to optimize its performance effectiveness in a systematic ...a fuzzy analytical hierarchy ...

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Fuzzy case-based reasoning for weather prediction

Fuzzy case-based reasoning for weather prediction

... In this recent years, the hybrid techniques is broadly used among researcher in many areas such as patterns recognition, making prediction, medical diagnosis and such others applications. Hybrid technique are a ...

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Symmetric I* Restriction Method of Fuzzy Inference

Symmetric I* Restriction Method of Fuzzy Inference

... of fuzzy logic, fuzzy inference plays a vital role in the fields of fuzzy control, artificial intelligence, affective computing, image processing and so ...of fuzzy inference are FMP ...

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The order of defuzzification for intuitionistic fuzzy dematel method

The order of defuzzification for intuitionistic fuzzy dematel method

... this method in various fields such as management (Heydari,, 2015 and Bijoyeta Roy, 2012), gas industry (Mohammad Reza Mehregan, 2012), medical tourism (Chen, 2012), and many ...intuitionistic fuzzy number ...

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AUTOMATIC MULTILEVEL IMAGE SEGMENTATION BASED ON FUZZY REASONING

AUTOMATIC MULTILEVEL IMAGE SEGMENTATION BASED ON FUZZY REASONING

... 3d, fuzzy histogram of the original image and histogram of the segmented image are depicted ...proposed method aggregates all the gray-levels into classes characterized accurately by four local maxima, so ...

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Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic

Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic

... In this work, case-based reasoning is used to support the diagnosis and treatment of chronic diseases. Kushwaha and Welekar [52] used a data mining technique to develop an approach of feature selection for image ...

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Fuzzy Logic Reasoning System for Line Following Robot

Fuzzy Logic Reasoning System for Line Following Robot

... especially fuzzy logic has been used by many researchers for line tracing in mobile ...microprocessor-based fuzzy logic controlled line following robot is described by Reuss and Lee ...a fuzzy logic ...

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Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality

Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality

... the Fuzzy Rule Interpolation (FRI) with Simple Network Management Protocol (SNMP) Management Information Base (MIB) ...proposed method eliminates the raw traffic processing component, which is ...

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