CN109784664A - A kind of external dependence degree calculation method, system and device based on changeable weight - Google Patents
A kind of external dependence degree calculation method, system and device based on changeable weight Download PDFInfo
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- CN109784664A CN109784664A CN201811564689.5A CN201811564689A CN109784664A CN 109784664 A CN109784664 A CN 109784664A CN 201811564689 A CN201811564689 A CN 201811564689A CN 109784664 A CN109784664 A CN 109784664A
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- 238000011524 similarity measure Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 6
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Abstract
The invention discloses a kind of external dependence degree calculation method, system and device based on changeable weight, method includes: to establish external dependence degree model；Static weight is calculated according to each index in outer interdependency model；According to static weight, changeable weight is calculated；According to static weight and changeable weight, comprehensive weight is calculated；According to comprehensive weight and external dependence degree model, external dependence degree is calculated.The present invention by using Integrated Static weight and changeable weight dual confirmation method, the external dependence degree computation model that the dimensions such as trade, foreign capitals, service, technology establish broad sense can be covered by establishing out, expert is not only embodied for the Subjective process and empirical value of model, moreover it is possible to the objectivity and participatory of model be effectively ensured.It the composite can be widely applied in economic data field.
Description
Technical field
The present invention relates to based on commercial economic data process field more particularly to a kind of external dependence degree by changeable weight
Calculate method, system and device.
Background technique
The finger of traditional " economic interdependence degree " is mainly " degree of dependence upon foreign trade ".Its calculation method is with value of export and state
The ratio between interior total output value, multiplied by absolutely acquiring.Its numerical value shows more greatly dependence of this area's economic development to overseas market
Degree is higher.
However, traditional " economic interdependence degree " has lacked otherwise consideration using foreign trade as single dimension.As it is external because
Importance of the plain aspect foreign capitals on Guangdong Economic is externally interdependent, service trade position indispensable in Guangdong Economic structure,
Influence etc. of the international environment for economic interdependence degree in terms of potential element；
In other study the amendment of economic interdependence degree, the main method using static weight confirmation, static weight confirmation
The main authority expert subjective experience of method, objectivity are poor.
Summary of the invention
In order to solve the above-mentioned technical problem, the object of the present invention is to provide based on a kind of external dependence degree by changeable weight
Calculate method, system and device.
The technical solution used in the present invention is:
A kind of external dependence degree calculation method based on changeable weight, comprising the following steps:
Establish external dependence degree model；
Static weight is calculated according to each index in outer interdependency model；
According to static weight, changeable weight is calculated；
According to static weight and changeable weight, comprehensive weight is calculated；
According to comprehensive weight and external dependence degree model, external dependence degree is calculated.
As a kind of further improvement of external dependence degree calculation method based on changeable weight, the basis
Each index in outer interdependency model calculates static weight, the step for specifically include:
According to preset assignment table, the index in external dependence degree model is compared processing between any two, obtains judgement
Matrix；
According to judgment matrix, the Maximum characteristic root for calculating judgment matrix combines and corresponding feature vector, then this feature
Vector is static weight；
Consistency check is carried out according to Maximum characteristic root.
As a kind of further improvement of external dependence degree calculation method based on changeable weight, the basis
Maximum characteristic root carry out consistency check, the step for specifically include:
According to Maximum characteristic root, coincident indicator is calculated；
Obtain random index；
According to coincident indicator and random index, consistency ratio is calculated；
According to consistency ratio, judge whether the degree of consistency reaches in preset permissible range.
As a kind of further improvement of external dependence degree calculation method based on changeable weight, the basis
Static weight, is calculated changeable weight, the step for specifically include:
Calculate the distance between each index and weighted mean index in external dependence degree model；
According to the distance between each index and weighted mean index, calculate similar between each index and weighted mean index
Property is estimated；
Obtained each similarity measure is normalized, changeable weight is obtained.
As a kind of further improvement of external dependence degree calculation method based on changeable weight, the synthetic weights
The calculation formula of weight are as follows:
Ai=λ wi+ (1- λ) Si；
Wherein, ai indicates that comprehensive weight, wi indicate static weight, and Si indicates that changeable weight, λ indicate static weight ratio system
Number, λ determine value according to the particularity of corresponding index.
Another technical solution of the present invention is:
A kind of external dependence degree computing system based on changeable weight, comprising:
Model foundation unit, for establishing external dependence degree model；
Static weight computing unit, for calculating static weight according to each index in outer interdependency model；
Changeable weight computing unit, for changeable weight to be calculated according to static weight；
Comprehensive weight computing unit, for comprehensive weight to be calculated according to static weight and changeable weight；
Interdependency computing unit, for external dependence degree to be calculated according to comprehensive weight and external dependence degree model.
As a kind of further improvement of external dependence degree computing system based on changeable weight, the static state
Weight calculation unit specifically includes:
Judgment matrix establishes unit, for according to preset assignment table, the index in external dependence degree model to be between any two
It is compared processing, obtains judgment matrix；
Static weight obtains unit, and the Maximum characteristic root for according to judgment matrix, calculating judgment matrix combines and right
The feature vector answered, then this feature vector is static weight；
Consistency check unit, for carrying out consistency check according to Maximum characteristic root.
As a kind of further improvement of external dependence degree computing system based on changeable weight, described is consistent
Property verification unit specifically includes:
Coincident indicator computing unit, for calculating coincident indicator according to Maximum characteristic root；
Random acquiring unit, for obtaining random index；
Consistency ratio computing unit, for consistency to be calculated according to coincident indicator and random index
Ratio；
Degree of consistency judging unit, for judging whether the degree of consistency reaches preset appearance according to consistency ratio
Perhaps in range.
As a kind of further improvement of external dependence degree computing system based on changeable weight, the dynamic
Weight calculation unit specifically includes:
Metrics calculation unit, for calculating the distance between each index and weighted mean index in external dependence degree model；
Similarity measure computing unit, for calculating each index according to the distance between each index and weighted mean index
Similarity measure between weighted mean index；
Normalization unit obtains changeable weight for obtained each similarity measure to be normalized.
Another technical solution of the present invention is:
A kind of external dependence degree computing device based on changeable weight, comprising:
Memory, for storing program；
Processor, for executing described program, described program makes described in the processor execution based on changeable weight
External dependence degree calculation method.
The beneficial effects of the present invention are:
A kind of external dependence degree calculation method, system and device based on changeable weight of the present invention is by using Integrated Static
The dual confirmation method of weight and changeable weight, the dimensions such as trade, foreign capitals, service, technology can be covered by, which establishing out, establishes broad sense
External dependence degree computation model not only embodies expert for the Subjective process and empirical value of model, moreover it is possible to be effectively ensured
The objectivity and participatory of model.
Detailed description of the invention
Fig. 1 is a kind of step flow chart of the external dependence degree calculation method based on changeable weight of the present invention；
Fig. 2 is a kind of block diagram of the external dependence degree computing system based on changeable weight of the present invention.
Specific embodiment
Specific embodiments of the present invention will be further explained with reference to the accompanying drawing:
With reference to Fig. 1, a kind of external dependence degree calculation method based on changeable weight of the present invention, comprising the following steps:
S1, external dependence degree model is established；
S2, static weight is calculated according to each index in outer interdependency model；
S3, according to static weight, changeable weight is calculated；
S4, according to static weight and changeable weight, comprehensive weight is calculated；
S5, according to comprehensive weight and external dependence degree model, external dependence degree is calculated.
In the embodiment of the present invention, the outer interdependency model foundation under dominant index and recessive two dimensions of index, on
It states model and shares 8 first class index and 28 two-level index, table 1 specific as follows:
Table 1
It is further used as preferred embodiment, each index according in outer interdependency model calculates static power
Again, the step for, specifically includes:
S21, according to preset assignment table, the index in external dependence degree model is compared processing between any two, obtains
Judgment matrix；
In the present embodiment, preset assignment table such as the following table 2:
| Serial number | Importance rate | Assignment |
| 1 | Two element of i, j is of equal importance | 1 |
| 2 | I element ratio j element is slightly important | 3 |
| 3 | I element ratio j element is obviously important | 5 |
| 4 | I element ratio j element is strongly important | 7 |
| 5 | I element ratio j element is extremely important | 9 |
| 6 | I element ratio j element is slightly inessential | 1/3 |
| 7 | I element ratio j element is obviously inessential | 1/5 |
| 8 | I element ratio j element is strongly inessential | 1/7 |
| 9 | I element ratio j element is extremely inessential | 1/9 |
Table 2
Wherein, the assignment table of significance level and lower section between the judgment matrix passes through index two-by-two, to indexs at different levels
To be compared marking two-by-two respectively, is denoted as aij, building obtains judgment matrix A,
S22, according to judgment matrix, the Maximum characteristic root for calculating judgment matrix combines and corresponding feature vector, then should
Feature vector is static weight；
The judgment matrix A calculated according to previous step, the Maximum characteristic root of matrix A is calculated according to linear algebra
λmaxAnd corresponding characteristic vector W, meet A*W=λmax* W, feature vector at this time are the static weight wi=of index
(w1、w2、...wn)
S23, consistency check is carried out according to Maximum characteristic root.
It is further used as preferred embodiment, it is described that consistency check is carried out according to Maximum characteristic root, the step for
It specifically includes:
S231, according to Maximum characteristic root, calculate coincident indicator CI, specific formula for calculation is as follows；
S232, random index RI, table 3 specific as follows are obtained；
Table 3
S233, according to coincident indicator and random index, consistency ratio CR=CI/RI is calculated；
S234, according to consistency ratio, judge whether the degree of consistency reaches in preset permissible range.
Wherein, CR is smaller, and the consistency of judgment matrix is better.If CR≤0.1, the degree of consistency permissible range it
It is interior；If CR > 0.1 shows that consistency is not significant, needs to rebuild judgment matrix and be adjusted.
In the present embodiment, according to assignment table and such as the comparison result development of judgment matrix of the following table 4；
Table 4
According to top significance level comparison sheet and assignment table, following judgment matrix is obtained:
By calculating feature vector and consistency check, show that the first class index weight of dominant index is as follows:
| Classification | Weight |
| Dependence on foreign trade | 0.357206938 |
| Dependence on foreign capital | 0.398873604 |
| Service interdependency | 0.083183812 |
| Technology interdependency | 0.160735646 |
The two-level index weight of dominant index, and the index weights calculation methods at different levels of stealthy index are same as above.
It is further used as preferred embodiment, it is described that changeable weight is calculated according to static weight, the step for
It specifically includes:
S31, the distance between each index and weighted mean index in external dependence degree model are calculated；
Assuming that initial reliability of each index ei at each proposition Hj is β ij, it is not evaluated the letter arbitrarily registered
Degree is β i Ω, and is met:
The distance between each index and weighted mean index di:
S32, according to the distance between each index and weighted mean index, calculate between each index and weighted mean index
Similarity measure Si=1-di；
S33, obtained each similarity measure is normalized, obtains changeable weight
It is further used as preferred embodiment, the calculation formula of the comprehensive weight are as follows:
Ai=λ wi+ (1- λ) Si；
Wherein, ai indicates that comprehensive weight, wi indicate static weight, and Si indicates that changeable weight, λ indicate static weight ratio system
Number, λ determine value according to the particularity of corresponding index, and index is more special, and the value of λ is bigger；Under normal circumstances, λ=0.5.
With reference to Fig. 2, a kind of external dependence degree computing system based on changeable weight of the present invention, comprising:
Model foundation unit, for establishing external dependence degree model；
Static weight computing unit, for calculating static weight according to each index in outer interdependency model；
Changeable weight computing unit, for changeable weight to be calculated according to static weight；
Comprehensive weight computing unit, for comprehensive weight to be calculated according to static weight and changeable weight；
Interdependency computing unit, for external dependence degree to be calculated according to comprehensive weight and external dependence degree model.
It is further used as preferred embodiment, the static weight computing unit specifically includes:
Judgment matrix establishes unit, for according to preset assignment table, the index in external dependence degree model to be between any two
It is compared processing, obtains judgment matrix；
Static weight obtains unit, and the Maximum characteristic root for according to judgment matrix, calculating judgment matrix combines and right
The feature vector answered, then this feature vector is static weight；
Consistency check unit, for carrying out consistency check according to Maximum characteristic root.
It is further used as preferred embodiment, the consistency check unit specifically includes:
Coincident indicator computing unit, for calculating coincident indicator according to Maximum characteristic root；
Random acquiring unit, for obtaining random index；
Consistency ratio computing unit, for consistency to be calculated according to coincident indicator and random index
Ratio；
Degree of consistency judging unit, for judging whether the degree of consistency reaches preset appearance according to consistency ratio
Perhaps in range.
It is further used as preferred embodiment, the changeable weight computing unit specifically includes:
Metrics calculation unit, for calculating the distance between each index and weighted mean index in external dependence degree model；
Similarity measure computing unit, for calculating each index according to the distance between each index and weighted mean index
Similarity measure between weighted mean index；
Normalization unit obtains changeable weight for obtained each similarity measure to be normalized.
A kind of external dependence degree computing device based on changeable weight of the present invention, comprising:
Memory, for storing program；
Processor, for executing described program, described program makes described in the processor execution based on changeable weight
External dependence degree calculation method.
From the foregoing it can be that the present invention is built by using the dual confirmation method of Integrated Static weight and changeable weight
It is vertical to go out to cover the external dependence degree computation model that the dimensions such as trade, foreign capitals, service, technology establish broad sense, it not only embodies specially
Subjective process and empirical value of the family for model, moreover it is possible to the objectivity and participatory of model be effectively ensured.
It is to be illustrated to preferable implementation of the invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.
Claims (10)
1. a kind of external dependence degree calculation method based on changeable weight, which comprises the following steps:
Establish external dependence degree model；
Static weight is calculated according to each index in outer interdependency model；
According to static weight, changeable weight is calculated；
According to static weight and changeable weight, comprehensive weight is calculated；
According to comprehensive weight and external dependence degree model, external dependence degree is calculated.
2. a kind of external dependence degree calculation method based on changeable weight according to claim 1, it is characterised in that: described
According in outer interdependency model each index calculate static weight, the step for specifically include:
According to preset assignment table, the index in external dependence degree model is compared processing between any two, obtains judgment matrix；
According to judgment matrix, the Maximum characteristic root for calculating judgment matrix combines and corresponding feature vector, then this feature vector
For static weight；
Consistency check is carried out according to Maximum characteristic root.
3. a kind of external dependence degree calculation method based on changeable weight according to claim 2, it is characterised in that: described
According to Maximum characteristic root carry out consistency check, the step for specifically include:
According to Maximum characteristic root, coincident indicator is calculated；
Obtain random index；
According to coincident indicator and random index, consistency ratio is calculated；
According to consistency ratio, judge whether the degree of consistency reaches in preset permissible range.
4. a kind of external dependence degree calculation method based on changeable weight according to claim 1, it is characterised in that: described
According to static weight, be calculated changeable weight, the step for specifically include:
Calculate the distance between each index and weighted mean index in external dependence degree model；
According to the distance between each index and weighted mean index, the similitude calculated between each index and weighted mean index is surveyed
Degree；
Obtained each similarity measure is normalized, changeable weight is obtained.
5. a kind of external dependence degree calculation method based on changeable weight according to claim 1, it is characterised in that: described
The calculation formula of comprehensive weight are as follows:
Ai=λ wi+ (1- λ) Si；
Wherein, ai indicates that comprehensive weight, wi indicate static weight, and Si indicates that changeable weight, λ indicate static weight proportionality coefficient, λ
Value is determined according to the particularity of corresponding index.
6. a kind of external dependence degree computing system based on changeable weight characterized by comprising
Model foundation unit, for establishing external dependence degree model；
Static weight computing unit, for calculating static weight according to each index in outer interdependency model；
Changeable weight computing unit, for changeable weight to be calculated according to static weight；
Comprehensive weight computing unit, for comprehensive weight to be calculated according to static weight and changeable weight；
Interdependency computing unit, for external dependence degree to be calculated according to comprehensive weight and external dependence degree model.
7. a kind of external dependence degree computing system based on changeable weight according to claim 6, it is characterised in that: described
Static weight computing unit specifically include:
Judgment matrix establishes unit, for according to preset assignment table, the index in external dependence degree model to carry out between any two
Compare processing, obtains judgment matrix；
Static weight obtains unit, and the Maximum characteristic root for according to judgment matrix, calculating judgment matrix combines and corresponding
Feature vector, then this feature vector is static weight；
Consistency check unit, for carrying out consistency check according to Maximum characteristic root.
8. a kind of external dependence degree computing system based on changeable weight according to claim 7, it is characterised in that: described
Consistency check unit specifically include:
Coincident indicator computing unit, for calculating coincident indicator according to Maximum characteristic root；
Random acquiring unit, for obtaining random index；
Consistency ratio computing unit, for consistency ratio to be calculated according to coincident indicator and random index；
Degree of consistency judging unit, for judging whether the degree of consistency reaches preset and allow model according to consistency ratio
In enclosing.
9. a kind of external dependence degree computing system based on changeable weight according to claim 6, it is characterised in that: described
Changeable weight computing unit specifically include:
Metrics calculation unit, for calculating the distance between each index and weighted mean index in external dependence degree model；
Similarity measure computing unit, for calculating each index and adding according to the distance between each index and weighted mean index
Similarity measure between weight average index；
Normalization unit obtains changeable weight for obtained each similarity measure to be normalized.
10. a kind of external dependence degree computing device based on changeable weight characterized by comprising
Memory, for storing program；
Processor, for executing described program, described program executes the processor such as any one of Claims 1 to 5 institute
The external dependence degree calculation method based on changeable weight stated.
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| CN112003891A (en) * | 2020-07-16 | 2020-11-27 | 山东省网联智能车辆产业技术研究院有限公司 | Multi-sensing data fusion method for intelligent networked vehicle controller |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112003891A (en) * | 2020-07-16 | 2020-11-27 | 山东省网联智能车辆产业技术研究院有限公司 | Multi-sensing data fusion method for intelligent networked vehicle controller |
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Application publication date: 20190521 |