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[PDF] Top 20 Individual Classification: an Ontological Fuzzy Based Approach

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Individual Classification: an Ontological Fuzzy Based Approach

Individual Classification: an Ontological Fuzzy Based Approach

... supports fuzzy OWL2. Based on Zadeh Semantics, it represents fuzzy operators and reduces the resulting fuzzy Z SROIQ knowledge base to a crisp one by creating new crisp concepts and roles ... See full document

12

Comparing pixel-based and object-based algorithms for classifying land use of arid basins (Case study: Mokhtaran Basin, Iran)

Comparing pixel-based and object-based algorithms for classifying land use of arid basins (Case study: Mokhtaran Basin, Iran)

... object-oriented classification where the focus was found on the difference between classification accuracies (Dean, ...object-oriented approach of the K-Nearest Neighbor (K-NN) and indicated that the ... See full document

14

Integrating Ontological Data Sources Using Viewpoints-Based Approach

Integrating Ontological Data Sources Using Viewpoints-Based Approach

... integration approach based on ontologies and viewpoints ...integration approach is evaluated using query ...(2012) Classification: Information systems ... See full document

18

Chinese Sentence Level Sentiment Classification Based on Fuzzy Sets

Chinese Sentence Level Sentiment Classification Based on Fuzzy Sets

... exploit fuzzy set theory to perform Chinese sentiment classification at sentence ...To approach this task, we first consider multiple sentiment granularities, including sentiment morphemes, sentiment ... See full document

8

Development of Sensitivity Classification Approach for Personalized Privacy Preservation in Data Publishing (PPPDP)

Development of Sensitivity Classification Approach for Personalized Privacy Preservation in Data Publishing (PPPDP)

... protecting individual privacy in data publishing is especially critical due to variation in personal preference and ...a classification method has been formulated to collect sensitive and non-sensitive data ... See full document

11

Classification of MRI Brain Images Using Neuro Fuzzy Model

Classification of MRI Brain Images Using Neuro Fuzzy Model

... Neural fuzzy models are performing successfully where other methods do ...The classification accuracy of combined neuro fuzzy classifier is comparatively higher than the individual ... See full document

5

A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach

A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach

... Classification based on image segments means to classify the image objects according to class descriptions structured in a user-customized knowledge rules ...Neuro-fuzzy classification is ... See full document

5

TARGETING CUSTOMERS: A FUZZY CLASSIFICATION APPROACH

TARGETING CUSTOMERS: A FUZZY CLASSIFICATION APPROACH

... them based on RFM measures. Our approach also suggests a method for combining RFM and CLV based on fuzzy classification ...This approach will be described in the next sections in ... See full document

13

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 based on the ensemble of the recently introduced deep (fuzzy) rule-based (DRB) classifiers [11], [12] is proposed for remote sensing scene ...0-order fuzzy rules as a ... See full document

5

Fuzzy Logic over Ontological Annotation and Classification for Spatial Feature Extraction

Fuzzy Logic over Ontological Annotation and Classification for Spatial Feature Extraction

... image classification was used to gather images from “Google Earth” on the Bangladesh region (Chittagong ...separated based on the pixel intensity value selected for the individual ... See full document

5

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

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

... two-stage approach to extract compact Takagi-Sugeno (TS) fuzzy models using subtractive clustering and particle swarm optimization (PSO) from numeric data ...a fuzzy rules base and the PSO algorithm ... See full document

11

Extending Siena to support more expressive and flexible subscriptions

Extending Siena to support more expressive and flexible subscriptions

... network, based not just on the values of an event’s contents but also on some semantics of the data and associated meta data contained in the ...additional ontological base types: properties, ... See full document

12

Fuzzy Classification Based On Fuzzy Association Rule Mining

Fuzzy Classification Based On Fuzzy Association Rule Mining

... Associative classification is another approach that constructs classifier heuristically based on association rules [Liu ...classifier based on extracted class association ...precedence ... See full document

129

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

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

... good fuzzy rules from numerical data (SGERD) ...a fuzzy classifier, and used macro mutation op- erator from tree-shaped genotype genetic algorithms as adjacency operator ...its classification ... See full document

12

Identification of relationship between housing difficulty and property values in urban areas

Identification of relationship between housing difficulty and property values in urban areas

... Total Fuzzy and Relative (TFR) approach, based on a fuzzy measure of the degree of association of an individual to the totality of the poor and an approach of se- mantic distance ... See full document

26

Pain Expression Recognition Based on Fuzzy Classification Approach

Pain Expression Recognition Based on Fuzzy Classification Approach

... Coding System (FACS) based measure of pain, which can be applied on a frame-by-frame basis. These methods are both timely and costly because they require manual labeling of facial action units or other ... See full document

8

A Fuzzy Based Classification – An Experimental Analysis

A Fuzzy Based Classification – An Experimental Analysis

... for classification of Caridotocography data ...when Fuzzy is combined with Neural Network and Support Vector Machine it is clearly noticed that there is an increase in accuracy of classification ... See full document

5

Neural Network Based Individual Classification System

Neural Network Based Individual Classification System

... altered based on the amount of error it ...XOR classification to a simple network consisting of 2 input, 2 hidden and 1 output neuron using back – propagation can take over 500,000teachers to reach an ... See full document

7

Organized Injustice: An Ontological Approach to the Question of Justice

Organized Injustice: An Ontological Approach to the Question of Justice

... lynching of Blacks during slavery. The collective psyche cannot be talked or negotiated out of insanity; there is no instrument which can do that and which is why all attempts have failed till date.Just as Whites needed ... See full document

23

An ontology of agile aspect oriented software development

An ontology of agile aspect oriented software development

... engineering approach on the one hand, and a software development tool on the other, there is the potential for them to be used in ...appropriate approach is taken to integrating AOP with agile ...an ... See full document

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