CN108446826A - The method for establishing large-scale hetero-com-munication Running State assessment models based on comentropy - Google Patents
The method for establishing large-scale hetero-com-munication Running State assessment models based on comentropy Download PDFInfo
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- CN108446826A CN108446826A CN201810144509.1A CN201810144509A CN108446826A CN 108446826 A CN108446826 A CN 108446826A CN 201810144509 A CN201810144509 A CN 201810144509A CN 108446826 A CN108446826 A CN 108446826A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention provides a kind of methods for establishing large-scale hetero-com-munication Running State assessment models based on comentropy.The process employs establish model according to information entropy theory, the operating index of comprehensive each subnet state, obtain the assessed value of overall operation state, to judge the grade residing for current network operation state, it is capable of the integrality of objective, accurate comprehensive assessment large size hetero-com-munication net, and the artificial method for determining weight is needed not rely on, reduce network maintenance staff's workload and difficulty.
Description
Technical field
The present invention relates to network technique fields, and large-scale hetero-com-munication network operation shape is established based on comentropy more particularly to kind
The method of state assessment models.
Background technology
As communication network technology constantly develops rapidly, various advanced network technologies are widely answered in life
With, the communication network type of foundation is continuously increased, and network size constantly expands, and each communication network is relatively independent, have it is a set of from
How on this basis oneself index weighs respective operating status, still, to history and current network overall operation state
Accurate objectively judge is carried out, and then operating status from now on is predicted based on this, for large-scale network management system
For system, the problem of being a problem and urgent need to resolve.
The weight for determining each subnet index is that the maximum difficult point of the overall merit of large-scale heterogeneous network, at present really
The method for determining weight mainly has expert's Evaluation Method, analytic hierarchy process (AHP), although these methods can also play a role when most of,
It is to be obtained by experience due to weight, unavoidably carries artificial subjectivity.
Invention content
It is commented to solve the above problems, establishing large-scale hetero-com-munication Running State based on comentropy the present invention provides one kind
The method for estimating model, includes the following steps：
Step 1:Predefine n period, comprehensive network m index, and each index is orthogonal.
Establish index sample matrix X, X=(xi,j)n×m；Wherein, n, m are integer, and i, j are respectively the cross of matrix, ordinate.
Step 2：Each index in matrix is normalized, after normalized
Index be ri,j, obtain the decision matrix of index：
Rk=(rij)n×m；
Step 3：The entropy E of parameter jj；
Wherein, K is constant, value 1.
Step 4：Calculate errored message degree dj：
dj=1-Ej
Step 5：The weight w of parameter jj。
Step 6：Obtain the evaluation of estimate Z of index sample matrixi,k。
Step 7：Clustering is carried out to the evaluation of estimate of acquirement, assesses the operation shape of communication network
State obtains the grading system of network.
Further, in step 2, the specific method being normalized is：
To the processing of positive correlation index：
Negatively correlated index processing：
Beneficial effects of the present invention are：
Present invention employs model is established according to information entropy theory, the operating index of comprehensive each subnet state obtains entirety
The assessed value of operating status being capable of objective, accurate comprehensive assessment to judge the grade residing for current network operation state
The integrality of large-scale hetero-com-munication net, and the artificial method for determining weight is needed not rely on, reduce network maintenance staff's work
Work amount and difficulty.
Description of the drawings
Fig. 1 is the flow diagram of the present invention.
Specific implementation mode
As shown in Figure 1, establishing large-scale hetero-com-munication Running State based on comentropy the present invention provides one kind assessing mould
The method of type, includes the following steps：
Step 1:Predefine n period, comprehensive network m index, and each index is orthogonal.
Establish index sample matrix X, X=(xi,j)n×m；Wherein, n, m are integer, and i, j are respectively the cross of matrix, ordinate.
Step 2：Each index in matrix is normalized.
Each subnet index expression formula is varied, there is numeric type, interval type, enumerated, needs to various types of data
It is unified into numeric type, convenient for being further processed；The numerical value of index and the quality of network quality have positive correlation, two kinds of negative correlation can
Can, by the analysis to index, negatively correlated index is negated, the relationship of unified metric and network quality.
Index after normalized is ri,j, obtain the decision matrix of index：
Rk=(rij)n×m；
To the processing of positive correlation index：
Negatively correlated index processing：
Step 3：The entropy E of parameter jj；
Wherein, K is constant, value 1.
Comentropy indicates the degree of disorder of information, and value is bigger, shows that the information that this index includes is smaller, for overall evaluation
Contribution degree is smaller, this is also the theory origin as this method.
Step 4：Calculate errored message degree dj。
dj=1-Ej。
Step 5：The weight w of parameter jj。
Step 6：Obtain the evaluation of estimate Z of index sample matrixi,k。
Step 7：Clustering is carried out to the evaluation of estimate of acquirement, the operating status of communication network is assessed, obtains the scoring of network
Grade.
Claims (2)
1. the method for establishing large-scale hetero-com-munication Running State assessment models based on comentropy, which is characterized in that including as follows
Step：
Step 1:Predefine n period, comprehensive network m index, and each index is orthogonal；
Establish index sample matrix X, X=(xi,j)n×m；Wherein, n, m are integer, and i, j are respectively the cross of matrix, ordinate；
Step 2：Each index in matrix is normalized, the index after normalized is ri,j, obtain index
Decision matrix：
Rk=(rij)n×m；
Step 3：The entropy E of parameter jj；
Wherein, K is constant, value 1；
Step 4：Calculate errored message degree dj：
dj=1-Ej
Step 5：The weight w of parameter jj；
Step 6：Obtain the evaluation of estimate Z of index sample matrixi,k；
Step 7：Clustering is carried out to the evaluation of estimate of acquirement, the operating status of communication network is assessed, obtains the scoring etc. of network
Grade.
2. the method that large-scale hetero-com-munication Running State assessment models are established based on comentropy as described in claim 1,
It is characterized in that, in step 2, the specific method being normalized is：
To the processing of positive correlation index：
Negatively correlated index processing：
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102902882A (en) * | 2012-09-14 | 2013-01-30 | 安徽南瑞继远软件有限公司 | Method for evaluating operation quality of information systems |
| CN104573304A (en) * | 2014-07-30 | 2015-04-29 | 南京坦道信息科技有限公司 | User property state assessment method based on information entropy and cluster grouping |
| CN107067341A (en) * | 2017-04-01 | 2017-08-18 | 重庆大学 | A kind of RBFNN electrical power distribution automatization system state operation evaluation methods based on multistage entropy weight |
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2018
- 2018-02-11 CN CN201810144509.1A patent/CN108446826A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102902882A (en) * | 2012-09-14 | 2013-01-30 | 安徽南瑞继远软件有限公司 | Method for evaluating operation quality of information systems |
| CN104573304A (en) * | 2014-07-30 | 2015-04-29 | 南京坦道信息科技有限公司 | User property state assessment method based on information entropy and cluster grouping |
| CN107067341A (en) * | 2017-04-01 | 2017-08-18 | 重庆大学 | A kind of RBFNN electrical power distribution automatization system state operation evaluation methods based on multistage entropy weight |
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Application publication date: 20180824 |