Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data classification method based on intuitive fuzzy integration and system

A technique for fuzzy intuition, data classification

Active Publication Date: 2012-04-04
NANJING NORMAL UNIVERSITY
View PDF2 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This leads to the fact that the ensemble classification method sometimes does not improve the classification performance to a great extent

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data classification method based on intuitive fuzzy integration and system
  • Data classification method based on intuitive fuzzy integration and system
  • Data classification method based on intuitive fuzzy integration and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] The classification method suitable for unbalanced data of the present invention is as figure 1 shown, including the following steps:

[0031] Step 101: cleaning the original data set, and classifying the original POS class samples according to their intra-class positions;

[0032] Step 102: Generate POS artificial samples and prepare training data sets;

[0033] Step 103: Prepare approximately balanced classification samples between classes for each base classifier, and train the base classifier;

[0034] Step 104: classify the samples to be classified with the base classifier, and transform the equivalent utility of the classification output into an intuitionistic fuzzy matrix;

[0035] Step 105: Combine the classifier weights to fuse the membership and non-membership degrees of the samples to be classified belonging to the POS cla...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the field of pattern recognition, and discloses an unbalanced data classification method based on intuitive fuzzy integration and a system based on the method. The method comprises the following steps of: a) cleaning original data, and classifying original point-of-sale (POS) class samples according to intra-class positions to generate POS class artificial samples; b) training a base classifier by using different sample sets of inter-class approximate balance; c) converting the classification output equal utility of the base classifier into an intuitive fuzzy matrix; and d) integrating samples to be classified into the membership and the non-membership of the POS class and the negative (NEG) class by combining the weight of the base classifier, and making a classification decision. The invention has the advantages that: over learning is avoided by integrating over sampling and under sampling; the training samples of the base classifier are different, so that the difference of the base classifier is ensured; the base classifier is not specifically limited, so the method has good expandability; the intuitive fuzzy reasoning method quantitatively describes the uncertainty in classification so as to improve the performance of integrated learning; therefore, the system based on the method can better support the medical diagnosis decision and the like.

Description

technical field [0001] The invention is directed at the research of data classification methods, relates to the field of pattern recognition, in particular relates to an unbalanced data classification method based on intuitionistic fuzzy integration and a system based on the method. Background technique [0002] In the process of medical diagnosis, the doctor obtains the objective data of several indicators of the examiner through a series of examinations, and based on this combined with medical knowledge or clinical experience, makes the most important diagnostic decision: sick or normal. One of the problems doctors face at this time is how to scientifically classify the data of the examiner into a certain category of "disease" or "normal". Among them, the correct historical diagnosis data is a powerful reference. The classification problem faced by doctors here has the following characteristics: (1) The number of "disease" or "normal" samples in the historical data is quit...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 钱钢王海黄为民郑雄燕
Owner NANJING NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com