Deep decision fusion method based on entropy evaluation method and D-S evidence theory

A technology of decision fusion and evidence theory, which is applied in the field of deep decision fusion, can solve problems such as single-layer decision fusion methods that cannot satisfy the system, and achieve good decision fusion effects, good fault tolerance and robustness, and high recognition accuracy.

Inactive Publication Date: 2021-08-10
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, for systems that require high recognition accuracy, the single-layer decision fusion method cannot meet the requirements of the system.
Current research rarely uses deep decision fusion, that is, two or more decision fusion methods are used for decision fusion

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  • Deep decision fusion method based on entropy evaluation method and D-S evidence theory
  • Deep decision fusion method based on entropy evaluation method and D-S evidence theory
  • Deep decision fusion method based on entropy evaluation method and D-S evidence theory

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Embodiment Construction

[0064] The present invention will be described in detail below with reference to the drawings and embodiments. At the same time, the technical problems and beneficial effects solved by the technical solution of the present invention are also described. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, and have no limiting effect on it.

[0065] as attached figure 1 And attached figure 2 As shown, a deep decision fusion method based on the combination of D-S evidence theory and entropy value method disclosed in this embodiment, the specific implementation steps are as follows:

[0066] Step 1: Select the smart phone-based human behavior recognition data set in the UCI database as an example, and verify the feasibility of the method disclosed in the present invention through behavior recognition in the human body 6 . The data set collected 6 types of motion information from 30 volunteers aged 19...

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Abstract

The invention discloses a depth decision fusion method based on an entropy evaluation method and a D-S evidence theory, and belongs to the field of information fusion. Firstly, a plurality of classifiers are designed to carry out training recognition on samples, then single-layer decision fusion is carried out on recognition results of the multiple classifiers through an entropy evaluation method and a D-S evidence theory method; finally, a deep decision fusion method is adopted, and the result recognized by the method with the high recognition rate in the two decision fusion methods is reserved in each recognition process; and respective advantages of the two methods are fully exerted for identification. Compared with single classifier identification and single method decision fusion, the deep decision fusion method of the invention has higher identification accuracy, robustness and fault tolerance. Therefore, the method can be applied to various pattern recognition fields such as human body behavior recognition.

Description

technical field [0001] The invention relates to a deep decision-making fusion method based on an entropy value method and D-S evidence theory, belonging to the field of information fusion. Background technique [0002] With the development of artificial intelligence technology, pattern recognition has become an important research direction. As an important means of improving recognition accuracy and robustness in pattern recognition, information fusion plays an important role in the field of pattern recognition. It can integrate information from different sources, remove redundancy, and improve the robustness of the recognition system. and accuracy. Information fusion can be divided into three levels: data layer fusion, feature layer fusion, and decision-making layer fusion. The decision-making layer fusion combines the judgments of various sensors or classifiers to form the final reasoning and decision-making. It has strong flexibility and determines the accuracy of the d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/20G06N3/048G06N3/045G06F18/214G06F18/2431G06F18/254G06F18/257
Inventor 姚小兰张艺佳费庆陈振
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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