• 沒有找到結果。

[PDF] Top 20 A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples

Has 10000 "A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples" found on our website. Below are the top 20 most common "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

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 ...agents, and our licensors make no representations ... See full document

25

A new method for constructing membership functions and fuzzy rules from training examples

A new method for constructing membership functions and fuzzy rules from training examples

... A New Method for Constructing Membership Functions and Fuzzy Rules from Training Examples Tzu-Ping Wu and Shyi-Ming Chen, Senior Member, ... See full document

16

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

... rule for that decision of the ...the decision of the plan for that subgroup. From Table 4, we can see that there are three subgroups of ...the decision to be made is ® xed. To ® ... See full document

22

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

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

... present a new algorithm to generate weighted fuzzy rules from a set of training data to deal with the Saturday Morning Problem [17], where the attributes appearing in the ... See full document

8

A new  approach to construct membership functions and generate fuzzy rules from training instances

A new approach to construct membership functions and generate fuzzy rules from training instances

... 77zeor). “A new method for generating fuzzy rules from numerical data for handling classification problems,” Applied Arlrficial Intelligence: A n InlernarionalJoumal. [r] ... See full document

6

Constructing a Fuzzy Decision Tree by Integrating Fuzzy Sets and Entropy

Constructing a Fuzzy Decision Tree by Integrating Fuzzy Sets and Entropy

... - Decision tree induction is one of common approaches for extracting knowledge from a sets of feature-based ...in a fuzzy and uncertain form. The decision tree must ... See full document

3

Generating fuzzy rules from relational database systems for estimating null values

Generating fuzzy rules from relational database systems for estimating null values

... ed for formulation of mode ls of impre cise information systems that would simulate human approxim ate ...the fuzzy se t the ory, the the ory has bee n widely used for repre senting and re ... See full document

31

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

... FCT and C4.5 can construct classifiers for polyp screening ...Basically, a requirement for disease screening strategies is that few false neg- ative results should be ...decisions for ... 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

... uncertain and 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 ... See full document

1

Fuzzy classification trees for data analysis

Fuzzy classification trees for data analysis

... Given a !nite set ofdata, X , ofa real- valued attribute, clustering in X is to !nd sev- eral cluster centers that can properly characterize relevant categories of X ...form a partition of X . Each instance ... See full document

13

Mining fuzzy association rules for classification problems

Mining fuzzy association rules for classification problems

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

16

A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques

A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques

... to a user’s queries and retrieve the documents with a high degree of satisfaction to the ...that a user’s queries can precisely be characterized by the index ...reason for the fuzziness ... See full document

13

A new method for fuzzy group decision-making based on interval linguistic labels

A new method for fuzzy group decision-making based on interval linguistic labels

... presents a new method for dealing with fuzzy group decision-making problems based on interval linguistic ...labels and propose likelihood-based comparison relations of ... See full document

4

A new information fusion method based on interval-valued fuzzy numbers for handling multi-criteria fuzzy decision-making problems

A new information fusion method based on interval-valued fuzzy numbers for handling multi-criteria fuzzy decision-making problems

... ?he proposed information h i o n method can handle the multi-criteria fuzzy decision-making problems in a more intelligent and more flexible manner due to the fac[r] ... See full document

6

Constructing a fuzzy model from wavelet transforms

Constructing a fuzzy model from wavelet transforms

... In order to benefit from the discrete wavelet transform, we modify the general fuzzy models, the Takagi-Sugeno’s model [ 11 and fuzzy basis function expansions [3], such that each [r] ... See full document

6

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

A fuzzy analysis method for new-product development

A fuzzy analysis method for new-product development

... It is able to provide decision makers (DMs) with consistent information and to model the simation where vague and ill-defined informalion exist in the decision proc[r] ... See full document

6

A novel fuzzy C-means method for hyperspectral image classification

A novel fuzzy C-means method for hyperspectral image classification

... Sources and Analysis - ...Optics and Optical Devices - ...Processing and Image Processing - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic ... See full document

2

Elicitation of classification rules by fuzzy data mining

Elicitation of classification rules by fuzzy data mining

... j A TRg; ð10Þ where TR is the set of fuzzy rules generatedby the proposed ...adaptive rules are further employed to adjust the fuzzy confidence of R b : If t p is correctly classifiedthen ... See full document

8

Finding fuzzy classification rules using data mining techniques

Finding fuzzy classification rules using data mining techniques

... exploring and analyzing data, so, it is feasible to incorporate data mining techniques into the classification process to discover useful patterns or classification rules from training ... See full document

11

Show all 10000 documents...