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[PDF] Top 20 Fuzzy classification trees for data analysis

Has 10000 "Fuzzy classification trees for data analysis" found on our website. Below are the top 20 most common "Fuzzy classification trees for data analysis".

Fuzzy classification trees for data analysis

Fuzzy classification trees for data analysis

... ) for instance description. For example, to de- cide whether one should play golfdepends on at- tributes {Outlook; Temperature; : : ...i for the corresponding attribute a i ...vector for the ... See full document

13

A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples

A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples

... DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our ...suitability for any purpose of the ...liable ... See full document

25

Generating  Weighted Fuzzy Rules From Training Data for Handling Fuzzy Classification Problems

Generating Weighted Fuzzy Rules From Training Data for Handling Fuzzy Classification Problems

... weighted fuzzy rules from a set of training data to deal with the Saturday Morning Problem [17], where the attributes appearing in the antecedent parts of the generated fuzzy rule may have different ... See full document

8

Building a Medical Decision Support System for Colon Polyp Screening by Using Fuzzy Classification Trees

Building a Medical Decision Support System for Colon Polyp Screening by Using Fuzzy Classification Trees

... classifiers for polyp screening respectively. Basically, a requirement for disease screening strategies is that few false neg- ative results should be ...decisions for the patients who have ... See full document

15

Building a Medical Decision Support System for Colon Polyp Screening by Using Fuzzy Classification Trees

Building a Medical Decision Support System for Colon Polyp Screening by Using Fuzzy Classification Trees

... noisy data, for example, biochemical laboratory examinations, a classifier is required to be able to classify an instance into all possible classes and each class is associated with a degree which shows how ... See full document

1

A new method for generating fuzzy rules from numerical data for handling classification problems

A new method for generating fuzzy rules from numerical data for handling classification problems

... of fuzzy logic. Fuzzy classi® cation Systems are capable of handling perceptual uncertainties, such as the vagueness and ambiguity involved in classi® cation ...a fuzzy classi® cation system is to ® ... See full document

22

Elicitation of classification rules by fuzzy data mining

Elicitation of classification rules by fuzzy data mining

... Abstract Data mining techniques can be used to find potentially useful patterns from data and to ease the knowledge acquisition bottleneck in building prototype rule-based ...new fuzzy data ... See full document

8

Finding fuzzy classification rules using data mining techniques

Finding fuzzy classification rules using data mining techniques

... Abstract Data mining techniques can be used to discover useful patterns by exploring and analyzing data, so, it is feasible to incorporate data mining techniques into the classification process to ... See full document

11

Two-phase Fuzzy-ART with Principal Component Analysis for Semantic Image Classification

Two-phase Fuzzy-ART with Principal Component Analysis for Semantic Image Classification

... component analysis (PCA) [3, 4] to reduce the feature dimension and to derive effective and discriminative ...method for data representation and has been widely used in a lot of research fields such ... See full document

10

Mining fuzzy association rules for classification problems

Mining fuzzy association rules for classification problems

... of data mining techniques for the discovery of knowledge from training samples for classification problems in industrial engineering is necessary in applications, such as group ...discover ... See full document

16

Integrated fuzzy data envelopment analysis to assess transport performance

Integrated fuzzy data envelopment analysis to assess transport performance

... call for further ...difficult for a decision maker to preset the ...qualitative data such as driver attitudes, vehicle comfort or amenity, and passenger complaints may also affect the overall ... See full document

21

Interpretable gene expression classifier with an accurate and compact fuzzy rule base for microarray data analysis

Interpretable gene expression classifier with an accurate and compact fuzzy rule base for microarray data analysis

... string for encoding control and parametric GA-genes. There are eight bits for encoding one of parameters V ji k and CF j ...each fuzzy region defines a fuzzy rule, the initial setting of N is ... See full document

12

Bayesian classification for data from the same unknown class

Bayesian classification for data from the same unknown class

... speech data recorded at the National Chiao-Tung ...speech data. For each speech frame, both a twelfth-order linear predictive analysis and a log energy analysis were ...vector ... See full document

9

A new approach for classification of generic audio data

A new approach for classification of generic audio data

... Approach for Classification of Generic Audio Data 65 The proposed method consists of three stages: feature extraction, the coarse- level classification and the fine-level ...statistical ... See full document

17

A novel fuzzy C-means method for hyperspectral image classification

A novel fuzzy C-means method for hyperspectral image classification

... and Analysis - ...723.2 Data Processing and Image Processing - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic Elements - 716 Telecommunication; Radar, Radio ... See full document

2

Support-vector-based fuzzy neural network for pattern classification

Support-vector-based fuzzy neural network for pattern classification

... input data is only used in the training stage to generate the clustering-based fuzzy rules; however, in testing stage, the input data excite the fuzzy rules directly without using class in- ... See full document

11

Integration of fuzzy classifiers with decision trees

Integration of fuzzy classifiers with decision trees

... In this paper, we will present the algorithm for constructing fuzzy classi- fication trees, as well as some empirical results on five different data sets from the UCI rep[r] ... See full document

6

An ACS-based Framework for Fuzzy Data Mining

An ACS-based Framework for Fuzzy Data Mining

... Abstract Data mining is often used to find out interesting and meaningful patterns from huge ...as classification rules, clusters, association rules, and among ...about data mining and most of them ... See full document

29

An ACS-based Framework for Fuzzy Data Mining

An ACS-based Framework for Fuzzy Data Mining

... Abstract Data mining is often used to find out interesting and meaningful patterns from huge ...as classification rules, clusters, association rules, and among ...about data mining and most of them ... See full document

28

A NOVEL LEARNINGALGORITHM FOR DATA CLASSIFICATION WITH
RADIAL BASIS FUNCTION NETWORKS

A NOVEL LEARNINGALGORITHM FOR DATA CLASSIFICATION WITH RADIAL BASIS FUNCTION NETWORKS

... values for the Gaussian function centered at s i , the proposed learning algorithm first conducts a mathematical analysis on a synthesized data ...The data set synthesized is based on two ... See full document

6

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