A Calculation Method of Basic Probability Assignment Based on Rough Set Information Decision Table

Abstract

The invention discloses a basic probability assignment calculation method based on a rough set information decision table. The basic probability assignment calculation method comprises the following steps: 1) sorting condition attributes in an information source according to a condition attribute sequence in the rough set information decision table; 2) establishing a conditional attribute subset R'based on an information source, and calculating an indistinguishable relationship [x] R 'of the R' in the rough set information decision table to form an indistinguishable relationship set IND (R ');3) calculating the number d of different decision attributes in the rough set information decision table to which each element belongs in the set IND (R '); And 4) calculating a basic probability assignment P of the information source to each decision attribute in the rough set information decision table. According to the invention, defects in the prior art can be overcome; The method is widely applied to calculation of the basic probability assignment in the evidence theory, a group of indistinguishable relations are extracted from the rough set information decision table to calculate the basic probability assignment, so that the calculation complexity of the basic probability assignment is greatly reduced compared with that of a traditional method, and rapid realization and response ofthe rough set information decision table are facilitated.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a basic probability assignment calculation method based on a rough set information decision table. Background technique [0002] Evidence theory is widely used in many fields such as medical diagnosis, target recognition, and military command. Evidence theory needs to comprehensively consider uncertain information from multiple sources, such as information from multiple sensors and opinions from multiple experts. The basic probability assignment is the premise of information fusion decision-making in the evidence theory. By calculating the basic probability assignment of information sources, information reasoning and reliability decision-making can be completed. How to effectively use the existing information decision table to calculate the basic probability assignment of unknown information sources is of great significance to the realization of information fusio...

AI Technical Summary

Problems solved by technology

Among them, the expert voting weighting method calculates the basic probability assignment by quantifying expert opinions and solving their weighted average for each information source, but this method is greatly affected by expert experience, which is not conducive to the objective expression of information

For this kind of influence, the method of determining the basic probability assignment according to the target type and the environment weighting coefficient and the method of obtaining the basic probability assignment according to the similarity between modes need to go through a series of matrix transformation and iterative solution, and the logic is more complicated

Looking at the existing basic probability assignment calculation methods, there are still the following problems: (1) most of the methods rely on expert experience, and the value of the basic probability assignment is greatly influenced by expert experience, which is not conducive to the objective expression of information; (2) from The method logic of obtaining the basic probability assignment in each information source is relatively complicated, which is not conducive to the rapid realization and response of information decision-making

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