A knowledge acquisition method of decision information system based on formal vector

A technology for decision-making information and knowledge acquisition, applied in the field of knowledge acquisition and knowledge reduction, it can solve problems such as loss of accuracy of knowledge reduction, and achieve the effect of realizing visualization, avoiding cumbersome operations, and high recognition rate.

CN109542949AActive Publication Date: 2019-03-29TAIYUAN UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-03-29

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Abstract

The invention discloses a knowledge acquisition method of a decision information system of a decision information system based on a formal vector. The method takes the decision formal background as aresearch object and defines a formal vector for describing the potential knowledge of the information system. By introducing the idea of granularity, formal vectors in different granularity spaces areobtained from coarse to fine, and a formal vector tree is constructed based on parent-child vector relation, which realizes the visualization of rule acquisition process. In the process of acquiringthe simplest rule, the relation between the conditional form vector and the decision form vector is used to extract the simplest rule, which simplifies the decision process of the rule. Whether the rules cover the whole universe or not is set as the termination condition, so that there is no redundancy between the rules, which ensures the minimum number of rules and accelerates the convergence speed of the algorithm; Due to the use of fewer rules and the minimization of the rule length, the algorithm also has a higher recognition rate.
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Description

technical field

[0001] The invention relates to the fields of knowledge acquisition and knowledge reduction in artificial intelligence, in particular to a method for acquiring knowledge of a decision information system based on a formal vector. Background technique

[0002] With the advent of the era of big data and the further development of the network, information plays an increasingly important role in the related research of computer and information systems. Information system is the main research object of machine learning, and decision information system is an important form of information system.

[0003] Knowledge representation is neither a data format nor a programming language. It is different from a data structure. It is a way that is easy for computers to process to represent the knowledge of the human brain. Compared with artificial intelligence, the relationship between knowledge and data The difference is that knowledge can be reasoned about. Knowledge acq...

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Embodiment Construction

[0049] The technical solutions of the present invention will be further described in more detail below in conjunction with specific embodiments. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them; based on the embodiments of the present invention, all other implementations obtained by those skilled in the art without creative work For example, all should belong to the protection scope of the present invention.

[0050] Granular computing is a mathematical model for analyzing and solving complex problems. Rough set theory, as one of the important branches, mainly uses approximation operators to approximate uncertain information, so that data can be analyzed and reasoned, and then the hidden knowledge in the data can be mined to reveal its internal laws. Formal concept analysis is a powerful tool for data analysis and rule acquisition based on formal background. As a representation model of knowledge, it mainly relies...