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A health evaluation method of information system based on FAHP_FCA combination weighting

An information system and combined empowerment technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve the problems of single data, poor evaluation rationality and accuracy

Active Publication Date: 2019-03-29
INFORMATION & TELECOMM COMPANY SICHUAN ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is: the present invention provides a method for assessing the health of an information system based on FAHP_FCA combined weighting, which solves the problem that the traditional weighting algorithm adopted when using AHP and PCA for combined weighting is only suitable for simple structure and single data The information system leads to the problem of poor assessment plausibility and accuracy

Method used

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  • A health evaluation method of information system based on FAHP_FCA combination weighting
  • A health evaluation method of information system based on FAHP_FCA combination weighting
  • A health evaluation method of information system based on FAHP_FCA combination weighting

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Effect test

Embodiment 1

[0164] Such as Figure 1-4 As shown, an information system health assessment method based on FAHP_FCA combined weighting includes the following steps:

[0165] Step 1: Construct a calculation model for the combined weight of subjective and objective factors of a single indicator;

[0166] Step 2: Calculate the subjective and objective combination weights of each index factor through the calculation model;

[0167] Step 3: Combining the indicator operation and maintenance data and the subjective and objective combination weights of each indicator factor to calculate the health degree;

[0168] Step 1 includes the following steps:

[0169] Step 1.1: Based on the index evaluation system, use the DEMATEL method to comprehensively consider the horizontal and vertical influencing factors of the index hierarchy to optimize the weight of the fuzzy AHP process, and obtain the index weight of subjective weighting;

[0170] Step 1.2: Based on the index evaluation system, use the facto...

Embodiment 2

[0180] Based on embodiment 1, step 1.1 comprises the following steps:

[0181] Step 1.1.1: Carry out hierarchical analysis on index factors and build an index evaluation system;

[0182] Step 1.1.2: Based on the index evaluation system, use the 0-1 scaling method to construct the fuzzy judgment matrix A:

[0183]

[0184] Among them, element a ij (i,j=1,2,Λ,n) represents the ratio of the importance of the i element to the importance of the j element;

[0185] 0-1 fuzzy scale meaning: as shown in the following table:

[0186]

[0187]

[0188] Step 1.1.3: Use the square root method to find the initial eigenvector w′ of the fuzzy judgment matrix A, and the calculation formula is as follows:

[0189]

[0190] Step 1.1.4: Use the DEMATEL method to calculate the comprehensive influence weight θ of the indicator in combination with the influence degree and the degree of influence of the indicator factors;

[0191] Step 1.1.5: Calculate the single-layer weight vector ...

Embodiment 3

[0219] Based on Embodiment 1 or 2, step 1.1.6: Carry out consistency check on fuzzy judgment matrix A through genetic algorithm based on single-layer weight vector w, and obtain subjective weighting index weight w for subjective weighting under the influence of comprehensive factors FAHP , which includes the following steps:

[0220] 1) Determine the objective function and constraint conditions, that is, transform it into a nonlinear optimization problem;

[0221] 2) Use the reciprocal of the target as the fitness function in the genetic algorithm to calculate the fitness of individuals in the new population, and select excellent individuals for crossover and mutation operations;

[0222] 3) Iterate continuously, and the algorithm terminates when the difference between the fitness of the current and subsequent generations is less than 0.001; otherwise, adjust the fuzzy judgment matrix and continue to iterate until the termination condition is met. After the consistency condit...

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Abstract

The invention discloses an information system health degree evaluation method based on FAHP_FCA combined weighting, and belongs to the field of information system operation and maintenance evaluation.The method comprises the following steps: 1. Constructing a calculation model; 2, calculating that subjective and objective combination weights through the calculation model; 3, calculating that health degree by combining the index operation dimension data and the subjective and objective combination weight; 11) using the DEMATEL method to synthetically consider that horizontal and vertical influencing factor of the index hierarchy to carry out weighted optimization on the fuzzy analytic hierarchy process base on the index evaluation system, and obtaining the index weights assigned subjectively; Factor analysis is used to optimize the process of principal component analysis based on the index evaluation system, and the weight of the index is obtained objectively. The invention solves theproblem that the traditional weighting algorithm adopted when the AHP and the PCA are used for combined weighting is only applicable to a simple structure, and the information system with single dataleads to poor evaluation rationality and accuracy, and achieves the effect of improving the rationality of the subjective evaluation and the accuracy of the objective evaluation.

Description

technical field [0001] The invention belongs to the field of information system operation and maintenance evaluation, in particular to an information system health degree evaluation method based on FAHP_FCA combined weighting. Background technique [0002] In recent years, with the continuous development of informatization work, many power grid enterprises have continuously improved the support for the company's business work and greatly integrated their main business. It has the characteristics of complete infrastructure, complex data and wide application. Therefore, the regulatory requirements for the overall stability and operation status of the system are also increased, and the traditional operation, maintenance and management methods will not be able to meet the efficient management needs of complex systems. In order to improve the guarantee capability of information operation, accurately and objectively evaluate the operation and maintenance level of information syst...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06G06F18/2135
Inventor 黄林王电钢常健王鑫杨帆唐震宇
Owner INFORMATION & TELECOMM COMPANY SICHUAN ELECTRIC POWER
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