Evaluation indicator equilibrium state analysis method based on Bayesian causal network

An evaluation index and causal network technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve the problems of overall system function improvement, resource waste, etc., and achieve the goal of improving accuracy, reducing the number of inspections, and improving computing efficiency Effect

Inactive Publication Date: 2018-01-09
TSINGHUA UNIV
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Problems solved by technology

Such a method is simple and intuitive, but it is not suitable for complex systems with internal causal relationships between indicators, because the optimization of a single ind

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  • Evaluation indicator equilibrium state analysis method based on Bayesian causal network
  • Evaluation indicator equilibrium state analysis method based on Bayesian causal network
  • Evaluation indicator equilibrium state analysis method based on Bayesian causal network

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Embodiment Construction

[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0034] These and other aspects of embodiments of the invention will become apparent with reference to the following description and drawings. In these descriptions and drawings, some specific implementations of the embodiments of the present invention are specifically disclosed to represent some ways of implementing the principles of the embodiments of the present invention, but it should be understood that the scope of the embodiments of the present invention is not limited by this limit. On the contrary, the embodiments of the present...

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Abstract

The invention discloses an evaluation index equilibrium state analysis method based on Bayesian causal network, comprising the following steps: establishing a system evaluation index system, and determining exogenous factors affecting the system; obtaining a corresponding endogenous variable set from the evaluation index, The exogenous input variable set is obtained from the exogenous influencing factors of the system, and the output variable set is obtained from the evaluation results; a three-layer Bayesian causal network structure is constructed according to the endogenous variable set, exogenous input variable set and output variable set, and the conditional The independence test finds the causal relationship between variables; conducts system dynamics modeling and simulation calculations to obtain the equilibrium state of each variable according to the Bayesian causal network structure and the causal relationship between variables; maps the equilibrium state of each variable to the evaluation Indexes, the equilibrium state of each evaluation index under the constraints of exogenous conditions is obtained. The invention has the following advantages: it can effectively discover the causal relationship between the evaluation indexes in the complex system and obtain the equilibrium state of the evaluation indexes under different conditions.

Description

technical field [0001] The invention relates to the field of system evaluation index analysis, in particular to an evaluation index equilibrium state analysis method based on a Bayesian causal network. Background technique [0002] Evaluation index equilibrium state analysis is an important issue in the field of system evaluation index analysis, and it is also one of the key technologies to realize system optimization and transformation. In the construction of the traditional index system, the orthogonality between the indexes is required, but with the continuous breakthrough and application of emerging technologies, the correlation between the various elements in many systems in reality is becoming increasingly complex. Under the requirements of systematically carrying out the evaluation, there are inevitably some causal links among the obtained evaluation indicators. There is an internal causal relationship between the evaluation indicators of the system. In the actual en...

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Application Information

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IPC IPC(8): G06Q10/06G06K9/62
Inventor 李清江鸿震
Owner TSINGHUA UNIV
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