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Time series prediction method based on intuitionistic fuzzy cognitive map

A time series, intuitive fuzzy technology, applied in character and pattern recognition, biological neural network models, instruments, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2019-02-15
SHANDONG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For modeling numerical data such as time series, expert experience may not be able to do it, because the changing trends and characteristics of different data in different fields are difficult to capture artificially

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  • Time series prediction method based on intuitionistic fuzzy cognitive map
  • Time series prediction method based on intuitionistic fuzzy cognitive map
  • Time series prediction method based on intuitionistic fuzzy cognitive map

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless otherwise specified, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0043] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application.

[0044] This embodiment is an intuitionistic fuzzy cognition map proposed according to the intuitionistic fuzzy set (IFS). In a sense, the elements of the intuitionistic fuzzy set (IFS) include degree of membership (representing the degree of belonging to the set), degree of non-membership ( Indic...

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Abstract

The invention discloses a time series prediction method based on intuitionistic fuzzy cognitive map, the time series prediction model based on intuitionistic fuzzy cognitive map is constructed, the membership degree of the time series mapped to each cluster center at the current time is obtained by fuzzy C clustering, the hesitation degree and the non-membership degree are calculated according tothe membership degree, Each node of the model is obtained, and the parameters are learned according to the particle swarm optimization algorithm, and the weight matrix and weight hesitation degree after learning are obtained, and the hesitation degree is calculated according to the membership degree of the current time, and the time series of the next time is inferred according to the membership degree, the non-membership degree and the hesitation degree, and the prediction result is obtained, which has the advantage of high accuracy.

Description

technical field [0001] The invention relates to a time series prediction method based on an intuitionistic fuzzy cognition map. Background technique [0002] Fuzzy cognitive map (FCMS) is a soft computing method, which is the product of the combination of fuzzy logic and neural network. The fuzzy cognitive graph is a graphical representation of knowledge, which is composed of nodes (concepts) and directed edges. Nodes can be concepts, entities, etc., and directed edges represent the causal relationship between concepts or entities. In terms of structure, it can be regarded as oriented The object's single-layer neural network with feedback supports the representation and reasoning of experts' prior knowledge and causal relationships. Knowledge is contained in concept nodes and the relationship between concept nodes. It simulates the dynamic behavior of the system by simulating fuzzy reasoning and using the interaction of each node (concept) in the entire graph. Fuzzy Cognit...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06K9/62
CPCG06N3/043G06F18/23
Inventor 骆超张楠楠
Owner SHANDONG NORMAL UNIV
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