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A fuzzy pattern recognition method based on fuzzy ellipsoid number

A fuzzy pattern recognition and ellipsoid technology, applied in the field of pattern recognition, can solve problems such as incorrect recognition results

Inactive Publication Date: 2019-03-01
HANGZHOU DIANZI UNIV
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Problems solved by technology

This is obviously not objective and rational enough, which may lead to incorrect recognition results

Method used

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  • A fuzzy pattern recognition method based on fuzzy ellipsoid number
  • A fuzzy pattern recognition method based on fuzzy ellipsoid number
  • A fuzzy pattern recognition method based on fuzzy ellipsoid number

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example

[0050] This example follows figure 1 The analysis process is based on the pattern recognition method based on fuzzy ellipsoid number. Examples are as follows:

[0051] Step 1: Obtain the observation data set of the target to be identified or the observation data set of l standard categories.

[0052] For each standard category O i (i=1,2,…,l), randomly select m i samples, and get m i Observations for samples:

[0053]

[0054] Assume that only "high-fertility and high-yield type" (denoted as O 1 ) and "medium-fat and high-yielding type" (denoted as O 2 ) two types of wheat. They mainly have 4 characteristics: heading date (use x 1 expressed), plant height (by x2 Indicated), the number of grains per ear (by x 3 expressed), hundred-grain weight (use x 4 express). Assume that through random sampling investigation, the following two groups are obtained from O 1 and O 2 The data, as shown in Table 1 and Table 2:

[0055]

[0056] Table 1

[0057]

[0058] Ta...

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Abstract

The invention discloses a fuzzy identification method based on a fuzzy ellipsoid book. The fuzzy identification method comprises the following steps: step 1, obtaining a to-be-identified target or observation data sets of l standard categories; 2, calculating the mean value u, the left dispersion degree L and the right dispersion degree R of each feature of the standard category in the first step;3, constructing a standard type of parabolic fuzzy ellipsoid number u; 4, calculating the membership degree of the to-be-identified target corresponding to each standard category by using a joint membership degree approximation algorithm; and 5, judging the pattern classification of the to-be-identified target according to a maximum membership degree principle. According to the method, the membership function of the fuzzy object can be reasonably constructed, and fuzzy mode recognition can be accurately carried out on the recognition problem of the fuzzy object.

Description

technical field [0001] The invention belongs to the field of pattern recognition, and in particular relates to a fuzzy pattern recognition method based on fuzzy ellipsoid numbers. Background technique [0002] Pattern recognition is currently an important research field of artificial intelligence research. In order for a computer to have the ability to imitate human logical reasoning, it should have a learning process. With the development of modern science, especially computer science, social science and natural science are interpenetrating each other. In the past, those disciplines that seemed to have little relationship with mathematics, such as biology, psychology, linguistics, etc., urgently require quantification. And mathematization, determined by the characteristics of these sciences, will inevitably make people encounter a large number of fuzzy concepts, so the method of fuzzy pattern recognition came into being. [0003] For multi-factor fuzzy pattern recognition,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N7/02G06F17/11
CPCG06F17/11G06N7/02G06F18/24
Inventor 王桂祥徐益峰沈晨杰
Owner HANGZHOU DIANZI UNIV
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