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fuzzy rule based approach

Recognizing Expression Variant and Occluded Face Images Based on Nested HMM and Fuzzy Rule Based Approach

Recognizing Expression Variant and Occluded Face Images Based on Nested HMM and Fuzzy Rule Based Approach

... The input images were cropped to remove the unnecessary background area by exploiting PCA [20]. The cropped face images were enhanced to easily predict the features like eyes, nose, mouth and chin (as shown in Figure 6). ...

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Fuzzy Classification Based On Fuzzy Association Rule Mining

Fuzzy Classification Based On Fuzzy Association Rule Mining

... another approach that constructs classifier heuristically based on association rules [Liu ...A rule is frequent means that the percentage of the given data that contains condset and belongs to class ...

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Rough-fuzzy rule interpolation

Rough-fuzzy rule interpolation

... abnormal fuzzy conclusions, ...derived fuzzy values is not guaranteed [5,6] , but convexity is often a crucial requirement for fuzzy inference in order to attain improved interpretability of the ...

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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

... intersection. The traffic warden uses his or her instinct in to assign the right of way to motorist. There are problems encountered by this approach; such as weariness on the part of the traffic warden. Impatience ...

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MOGA FOR MULTILEVEL FUZZY ASSOCIATION RULE WITH MSFM APPROACH

MOGA FOR MULTILEVEL FUZZY ASSOCIATION RULE WITH MSFM APPROACH

... Genetic Algorithm is a search heuristic that mimic the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic Algorithm is based on ...

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A Massively Parallel Deep Rule Based Ensemble Classifier for Remote Sensing Scenes

A Massively Parallel Deep Rule Based Ensemble Classifier for Remote Sensing Scenes

... new approach for remote sensing scene classification by creating an ensemble of the recently introduced massively parallel deep (fuzzy) rule-based (DRB) classifiers trained with different ...

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Fuzzy Rule based Novel Approach to Spam Filtering

Fuzzy Rule based Novel Approach to Spam Filtering

... Jan Gobel et al [8] proposed a method to filter spam mail in a proactive way which intercepts the communication held between spambot and the intended server and redirects its communication with local mail server at the ...

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A New Hybrid Approach for Modeling Accurate Fuzzy Rule Based Classification Systems

A New Hybrid Approach for Modeling Accurate Fuzzy Rule Based Classification Systems

... geometric based algorithm is employed for mapping the data into a 2-dimensional space ...triangular fuzzy sets are used to partition the domain interval of each attribute and all fuzzy rules with two ...

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Hybrid Fuzzy-Rough Rule Induction and Feature Selection

Hybrid Fuzzy-Rough Rule Induction and Feature Selection

... pattern- based if-then rules is essential to the success of many intelligent pattern classifiers, especially when their inference results are expected to be directly ...human-comprehensible. Fuzzy and rough ...

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Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting

Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting

... Africa based on three deferent approaches, namely, Autoregressive Moving Average (ARMA) model, Neural networks and Neuro-fuzzy ...tool based on Sup- port Vector Machine Regression (SVMR) and the ...

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A quantifier-based fuzzy classification system for breast cancer patients

A quantifier-based fuzzy classification system for breast cancer patients

... Fuzzy rule-based modelling has become an active research field in recent years because of its unique merits in solving complex non-linear system identification and control ...this approach ...

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A Product Review Using Rule Base And Fuzzy Logic Approach

A Product Review Using Rule Base And Fuzzy Logic Approach

... We have great pleasure extending my deep sense of gratitude to our project "A Product Review Using Rule Based And Fuzzy Logic Approach" Assistant professor , Department of computer ...

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Self Organising Fuzzy Logic Classifier

Self Organising Fuzzy Logic Classifier

... nonparametric fuzzy rule-based classifier. The proposed approach identifies prototypes from the observed data through an offline training process and uses them to build a 0-order AnYa type ...

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Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education

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 ...

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Architectures of evolving fuzzy rule based classifiers

Architectures of evolving fuzzy rule based classifiers

... evolving fuzzy rule-base classifier, eClass in any of its modifications has a very good classification performance; it is computationally very efficient, and is, thus, suitable for real-time applications ...

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Curvature-based sparse rule base generation for fuzzy rule

interpolation

Curvature-based sparse rule base generation for fuzzy rule interpolation

... is based on the analogical reasoning mechanism [105] and therefore, referred to as “analogy based fuzzy rule interpolation" (intermediate-rule ...diate rule such that its ...

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Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

... sparse rule base, as summarised in Table 4. The initial rule base was optimised by applying the GA over the train- ing dataset in fine-tuning the membership functions of the fuzzy sets which are ...

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Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems

Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems

... An Inland Waterway Transportation System (IWTS) is a complex and dynamic system in which various factors influencing each other increase the difficulty to assess its navigational risk (Zhang et al., 2014; Zhang et al., ...

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A NEW CLUSTERING-BASED APPROACH FOR MODELING FUZZY
RULE-BASED CLASSIFICATION SYSTEMS

A NEW CLUSTERING-BASED APPROACH FOR MODELING FUZZY RULE-BASED CLASSIFICATION SYSTEMS

... accurate fuzzy rule-based classification ...The approach uses subtractive clustering method to extract the fuzzy classification rules from data; the rule parameters are then ...

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Analysis of Process Models: A Fuzzy Logic Approach

Analysis of Process Models: A Fuzzy Logic Approach

... analysis approach for process models, based on fuzzy logic and approximate rule-based reasoning, is ...approximate rule based reasoning approach is developed for ...

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