CN108764735A - A kind of information system system maturity qualitative evaluating method based on confidence level - Google Patents
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Abstract
The present invention relates to information systems evaluation technical fields, a kind of disclosed information system system maturity qualitative evaluating method based on confidence level, it is to indicate that information system system maturity is horizontal using variable ISRL, indicate that subsystem interoperability maturity is horizontal using variable SIORL, maturity Grade Model；The structure of central point whitened weight function, and the system maturity qualitative evaluation model based on confidence level and central point whitened weight function, then judgement system technical maturity level belong to grey class k*；To Information Systems Interoperability, mutually cognition maturity differentiates, finally judges that information system system maturity is horizontal.The present invention can the prior art lay particular emphasis on the defect of monotechnics assessment, can solve between each single technology, the relative importance between Military Information System group component system, the system maturity of information system can be fully assessed, provide confidence level.
Description
Technical field
The present invention relates to information systems evaluation technical field more particularly to a kind of information system systems based on confidence level
Maturity qualitative evaluating method.
Background technology
Information system by detection equipment, commander's equipment, the organic crosslinking of all kinds of resources such as IT application facilities in one, with information
It is leading, information is embedded into physical domain, cognitive territory and social domain, covers physical domain, information field, cognitive territory, social domain
Complex gigantic system.Current technology maturity lays particular emphasis on the assessment of monotechnics mostly, and system maturation degree seldom considers each list
Between technology, the relative importance between Military Information System group component system, it is difficult to the system maturity of information system
It is fully assessed, and current appraisal procedure cannot provide confidence level.
The present invention is directed to information system system maturity evaluation problem, it is proposed that frame gives corresponding Evaluation example
And method.
Invention content
In order to overcome the deficiencies of the prior art, it is fixed to provide a kind of information system system maturity based on confidence level by the present invention
Property evaluation method.
For achieving the above object, the present invention adopts the following technical scheme that：
It is a kind of to implement to fill based on the information system system maturity qualitative evaluation of confidence level and central point whitened weight function
It sets, including information system, information system system maturity, information system are connected with information system system maturity, described information
System is made of n subsystem, information system system maturity, including the interoperability maturity of information system, mutual cognition maturation
Degree, technical maturity, interoperability maturity, mutually recognize maturity, technical maturity respectively by subsystem interoperate maturity,
Subsystem mutually recognizes maturity, subsystem technical maturity is connected with n subsystem.
A kind of information system system maturity qualitative evaluation new method based on confidence level and central point whitened weight function,
Its step are as follows：
1) it, indicates that information system system maturity is horizontal using variable ISRL, is expressed as
ISRL=f (IORL, MKRL, STRL) (1)
Variable IORL, MKRL, STRL indicate the interoperating of information system, mutually cognition and systems technology etc. 3 respectively in formula
Maturity horizontal component, f indicate the aggregate function of 3 components；
Indicate that subsystem interoperability maturity is horizontal using variable SIORL, to n subsystem of information system interoperate at
Ripe degree level is polymerize, and the interoperability maturity horizontal expression formula for obtaining information system is
IORL=f1(SIORL1,…,SIORLj,…,SIORLn) (2)
SIORL in formulajIndicate that j-th of subsystem interoperability maturity is horizontal, f1Indicate that subsystem interoperability maturity is horizontal
Aggregate function；
The expression formula of same MKRL, STRL is respectively
MKRL=f2(SMKRL1,…,SMKRLj,…,SMKRLn) (3)
STRL=f3(STRL1,…,STRLj,…,STRLn) (4)
SMKRLj、STRLjIndicating j-th of subsystem respectively, mutually cognition and technical maturity are horizontal, f2And f3It indicates to divide respectively
System mutually recognizes and the horizontal aggregate function of technical maturity；Wherein subsystem technical maturity level passes through subsystem Integration ofTechnology
The polymerization of maturity and the single technology maturity being related to obtains；
In above-mentioned each polymerization model, needs to investigate relative importance and subsystem between n subsystem and mutually grasp
Make, the relative importance between mutual cognition maturity element；
2), maturity Grade Model
Concept definition defines initial concept, development subsystem and technical method；
Technical need proves key technology and integrated demand that subsystem is related to；
Technological development studies crucial technology and integrated approach, to be integrated into a complete subsystem；
System development and demonstration develop subsystem ability or upgrading improved capacity state, reduce integrated and manufacture risk, really
Ensuring operations ability is protected, integration capability, collaborative work ability, safety and the serviceability of subsystem are verified；
Production, reaches the operational capacity that subsystem meets mission requirements；
Operational support completes the guarantee plan that disclosure satisfy that operational support performance requirement, full in life cycle management
The feasible maintainability of foot；
For subsystem interoperability, mutually cognition maturity also uses the division of 6 grades, and from small to large, maturity is horizontal
It is higher and higher；
Information system be physical domain, information field, cognitive territory, in social domain military activity carrier, be integrated in information system
Each weaponry between can exchange information and can share, recognize and utilization exchanged information, information system system maturity
Grade Model,
Without architecture Design, it is integrated in the equipment independent operating of information system, energy is shared and utilized to no information exchange
Power.
The structural approach of point-to-point is avoided that interfering with each other between equipping, and has the information exchange of limitation, shared and profit
Use ability.
Architecture of project designs, and has certain equipment architecture effect, has preliminary information and seek, exchange, share
And Utilization ability.
Equipment architecture feature is embodied in Engineering System structure design, part, have certain information exchange, shared, cognition and
Utilization ability.
Federated architecture designs, equipment architecture characteristic remarkable, can be appropriately carried out information exchange, shared, cognition and profit
With.
Fusion system architecture designs, and equipment architecture feature is apparent, can realize without barrier information exchange, shared, cognition and
It utilizes.
3), the structure of central point whitened weight function regards each maturity grade as grey class hierarchy, using modified center
The triangle whitened weight function of point triangle whitened weight function, grey class starting point and grey class terminal is taken as lower limit and estimates whitened weight function respectively
With upper measure whitened weight function；For all clustering targets, value range is [0,1]；The grey class of 6 clusters is taken, and willRespectively as the central point of grey class, then there is center
Point triangle whitened weight function；
FormulaRespectively grey class 1 ..., the central point triangle whitened weight function of grey class 6, according to
The function calculating observation value belongs to the degree of membership of grey class；If x is an observation of maturity clustering target, there is f respectively1 1(x)、Expression formula be
Expression formula be similar to
4), the system maturity qualitative evaluation model based on confidence level and central point whitened weight function is based on improving
Steps are as follows for the system maturity Grey Cluster Appraisal of type central point triangle whitened weight function：
Step1 is formed according to information system and system maturity divides, for i-th (i=1,2 ..., n) a subsystem
Subsystem technology, interoperability and mutually cognition maturity element, based on hundred-mark system determine evaluate score value；
Step2 according between n subsystem, interoperability, mutually 3 maturity horizontal components of cognition and systems technology it
Between, subsystem interoperability, the mutually weight vectors between cognition maturity element；
Step3 determines the grey class of evaluation according to each maturity Grade Model, and determines the central point of each grey class and comment
The degree of membership expression formula of valence score value calculates separately each evaluation index being subordinate to angle value and obtain its degree of membership for all grey classes
Vector；
Step4 calculates the technical maturity horizontal vector of a subsystems of i-th (i=1,2 ..., n)；Determine i-th of subsystem
It is x that technical maturity, which evaluates score value,ik, then can basisExpression formula seek the score value relative to difference
Grey class is subordinate to angle value, i.e.,There is maturity of i-th of subsystem based on different grey classes horizontal
Vector is
Step5 calculates information systems technology maturity horizontal component STRL.Assuming that the weight of i-th of subsystem is wi(i=
1,2 ..., n), then there is the information systems technology maturity level to be for the angle value that is subordinate to of different grey classes
Maximum membership degree processing is carried out to the technical maturity horizontal vector based on different grey classes, take its maximum value to get
Information systems technology maturity horizontal component STRL is
STRL=max { SSTRL6,…,SSTRL1} (9)
The interoperability maturity that Step6 calculates a subsystems of i-th (i=1,2 ..., n) is horizontal；Point determined based on Step5
The evaluation score value of h-th of interoperability factor of system i is zih, it is first determined influence subsystem interoperability maturity 6 factors it
Between relative importance, weight is respectivelySecondly calculate subsystem i about the grey class k of interoperability (k=1,
2 ..., 6) cluster coefficients
The interoperability maturity horizontal vector of (i=1,2 ..., n) a subsystem that finally obtains i-th isRoot
According to the vector, its maximum value is taken to determine the grey class of level belonging to subsystem interoperability maturity；
Step7 calculates Information Systems Interoperability maturity horizontal component IORL；It is horizontal according to subsystem interoperability maturity
The weight of vector sum subsystem is subordinate to angle value to affiliated grey class and is weighted summation, you can obtain Information Systems Interoperability at
Grey class belonging to ripe degree is subordinate to angle value；It obtains after grey class is subordinate to angle value vector, taking its maximum value, you can obtain information system and mutually grasp
Make maturity horizontal component, such as following formula：
Step8 calculate a subsystems of i-th (i=1,2 ..., n) mutual cognition maturity level and information system it is mutual recognize at
Ripe degree horizontal component MKRL；Determine the evaluation score value o of first of mutual perceptional factors of subsystem iihAfterwards, subsequent step is similar to Step6
And Step7；
Step9 carries out the rough sort evaluation of information system system maturity；Assuming that Information Systems Interoperability, mutually recognizing, being
Influence of 3 maturity such as system technology to information system system maturity is independent, then according to Bucket Principle, there is information system
System maturity assessment of levels model
ISRL=min { IORL, MKRL, STRL } (12)
The value range of ISRL is [0,1] in formula, and this method has only carried out slightly information system system maturity level
Grey class slightly is sorted out；
Step10 carries out the essence assessment of information system system maturity under confidence level, it is also assumed that Information Systems Interoperability,
Mutually cognition, 3 maturity of systems technology are mutual indepedent, give an assessment confidence level α, for the system based on different grey classes
Technical maturity horizontal vector (SSTRL6,…,SSTRL1), if
It sets up, then judgement system technical maturity level belongs to grey class k*；Similarly, to Information Systems Interoperability, recognize each other
Know that maturity is differentiated, finally judges that information system system maturity is horizontal according to formula (12).
Due to using technical solution as described above, the present invention that there is following superiority：
Description of the drawings
Fig. 1 is information system system maturity assessment block schematic illustration.
Triangle whitened weight function schematic diagram is put centered on Fig. 2.
Specific implementation mode
As shown in Figure 1, 2, a kind of information system system maturity based on confidence level and central point whitened weight function is fixed
Property assessment implementation, including information system, information system system maturity, information system and information system system maturity phase
Even, described information system is made of n subsystem, information system system maturity, including the interoperability maturity of information system,
Mutually cognition maturity, technical maturity, interoperability maturity, mutually cognition maturity, technical maturity are mutual by subsystem respectively
Operation maturity, subsystem mutually recognizes maturity, subsystem technical maturity is connected with n subsystem.I.e. information system is usual
It is made of multiple complication systems such as information collection, processing, distributions, comprehensive strong, complexity height, the opinion of group component system
Card, development are generally difficult to synchronous progress, therefore the evaluation of information system system maturity is a complicated system engineering.Assuming that
Information system is made of n subsystem, has been related to m key technologies altogether, and each subsystem may be by multinomial different key
Technical support, the maturity integrated, that interoperability level also constrains information system between subsystem is horizontal, different subsystems
Maturity level is also different to the contribution level of information system system maturity, and information system system maturity is decomposed into letter
Cease interoperability of system maturity, mutually recognize 3 maturity, technical maturity components, establish information system system shown in FIG. 1 at
Ripe degree evaluates frame.
A kind of information system system maturity qualitative evaluation new method based on confidence level and central point whitened weight function,
It is to indicate that information system system maturity is horizontal using variable ISRL, can be expressed as according to Fig. 1
ISRL=f (IORL, MKRL, STRL) (1)
Variable IORL, MKRL, STRL indicate the interoperating of information system, mutually cognition and systems technology etc. 3 respectively in formula
Maturity horizontal component, f indicate the aggregate function of 3 components.
Indicate that subsystem interoperability maturity is horizontal using variable SIORL, to n subsystem of information system interoperate at
Ripe degree level is polymerize, and the interoperability maturity horizontal expression formula for obtaining information system is
IORL=f1(SIORL1,…,SIORLj,…,SIORLn) (2)
SIORL in formulajIndicate that j-th of subsystem interoperability maturity is horizontal, f1Indicate that subsystem interoperability maturity is horizontal
Aggregate function.
The expression formula that MKRL, STRL can equally be obtained is respectively
MKRL=f2(SMKRL1,…,SMKRLj,…,SMKRLn) (3)
STRL=f3(STRL1,…,STRLj,…,STRLn) (4)
SMKRLj、STRLjIndicating j-th of subsystem respectively, mutually cognition and technical maturity are horizontal, f2And f3It indicates to divide respectively
System mutually recognizes and the horizontal aggregate function of technical maturity.Wherein subsystem technical maturity level passes through subsystem Integration ofTechnology
The polymerization of maturity and the single technology maturity being related to obtains, so subsystem technical maturity is equivalent using common at present
System maturation degree.
In above-mentioned each polymerization model, needs to investigate relative importance and subsystem between n subsystem and mutually grasp
Make, the relative importance between mutual cognition maturity element.
1.3 maturity Grade Models
Maturity at all levels in Fig. 1 is described using current scalar quantization evaluation form, is used for reference beautiful at present
The system maturation degree of Ministry of National Defence of state measures grade, and this programme proposes 6 measurement grades of subsystem technical maturity, meaning point
Not not as shown in table 1.
1 subsystem technical maturity grade of table and meaning
For subsystem interoperability, mutually cognition maturity also uses the division of 6 grades, and from small to large, maturity is horizontal
It is higher and higher.
Information system be physical domain, information field, cognitive territory, in social domain military activity carrier, be integrated in information system
Each weaponry between can exchange information and can share, recognize and the exchanged information of utilization, a kind of information of this patent proposition
System of systems maturity Grade Model, meaning are as shown in table 2.
2 information system system maturity grade of table and meaning
The structure of 2 central point whitened weight functions
There are description informations it can be seen from the meaning of each maturity grade in table 1 to table 4 not exclusively, between grade
There are the uncertain feature such as alternate covering, the meaning and dimension of each index to differ, these are to be commented using grey assessment method
Valence information system system maturity has established good application foundation.
This patent regards each maturity grade as grey class hierarchy, using modified central point triangle albefaction in document [10]
The triangle whitened weight function of weight function, grey class starting point and grey class terminal is taken as lower limit and estimates whitened weight function and upper measure respectively
Whitened weight function.For all clustering targets, it is assumed that its value range is [0,1].This patent takes the grey class of 6 clusters, and willRespectively as the central point of grey class, then have
Central point triangle whitened weight function is as shown in Figure 2.
In figureRespectively grey class 1 ..., the central point triangle whitened weight function of grey class 6, according to
The function can calculating observation value belong to the degree of membership of grey class.Assuming that x is an observation of maturity clustering target, there is f respectively1 1
(x)、Expression formula be
Expression formula be similar to
The 3 system maturity qualitative evaluation models based on confidence level and central point whitened weight function
Steps are as follows for system maturity Grey Cluster Appraisal based on modified central point triangle whitened weight function：
Step1 is formed according to information system and system maturity shown in FIG. 1 divides, for i-th (i=1,2 ..., n)
Subsystem technology, interoperability and the mutual cognition maturity element of a subsystem, evaluation score value is determined based on hundred-mark system.
Step2 according between n subsystem, interoperability, mutually 3 maturity horizontal components such as cognition and systems technology it
Between, subsystem interoperability, the mutually weight vectors between cognition maturity element.
Step3 determines the grey class of evaluation according to each maturity Grade Model, and determines the central point of each grey class and comment
The degree of membership expression formula of valence score value calculates separately each evaluation index being subordinate to angle value and obtain its degree of membership for all grey classes
Vector.
Step4 calculates the technical maturity horizontal vector of a subsystems of i-th (i=1,2 ..., n).I-th is determined according to table 1
A subsystem technical maturity evaluation score value is xik, then can basisExpression formula seek the score value phase
Angle value is subordinate to for different grey classes, i.e.,Have i-th of subsystem based on different grey classes at
Ripe degree horizontal vector is
Step5 calculates information systems technology maturity horizontal component STRL.Assuming that the weight of i-th of subsystem is wi(i=
1,2 ..., n), then there is the information systems technology maturity level to be for the angle value that is subordinate to of different grey classes
Maximum membership degree processing is carried out to the technical maturity horizontal vector based on different grey classes, take its maximum value to get
Information systems technology maturity horizontal component STRL is
STRL=max { SSTRL6,…,SSTRL1} (9)
The interoperability maturity that Step6 calculates a subsystems of i-th (i=1,2 ..., n) is horizontal.As shown in table 3, it is based on
The evaluation score value for h-th of interoperability factor of subsystem i that Step5 is determined is zih, it is first determined it is ripe to influence subsystem interoperability
Relative importance between 6 factors of degree, weight are respectivelySecondly subsystem i is calculated about interoperability
The cluster coefficients of grey class k (k=1,2 ..., 6)
The interoperability maturity horizontal vector of (i=1,2 ..., n) a subsystem that finally obtains i-th is
According to the vector, take its maximum value that can determine the grey class of level belonging to subsystem interoperability maturity.
Step7 calculates Information Systems Interoperability maturity horizontal component IORL.It is horizontal according to subsystem interoperability maturity
The weight of vector sum subsystem is subordinate to angle value to affiliated grey class and is weighted summation, you can obtain Information Systems Interoperability at
Grey class belonging to ripe degree is subordinate to angle value；It obtains after grey class is subordinate to angle value vector, taking its maximum value, you can obtain information system and mutually grasp
Make maturity horizontal component, such as following formula.
Step8 calculate a subsystems of i-th (i=1,2 ..., n) mutual cognition maturity level and information system it is mutual recognize at
Ripe degree horizontal component MKRL.Determine the evaluation score value o of first of mutual perceptional factors of subsystem iihAfterwards, subsequent step is similar to Step6
And Step7.
Step9 carries out the rough sort evaluation of information system system maturity.Assuming that Information Systems Interoperability, mutually recognizing, being
Influence of 3 maturity such as system technology to information system system maturity is independent, then according to Bucket Principle, there is information system
System maturity assessment of levels model
ISRL=min { IORL, MKRL, STRL } (12)
The value range of ISRL is [0,1] in formula.As can be seen that this method is only horizontal to information system system maturity
Rough grey class has been carried out to sort out.
Step10 carries out the essence assessment of information system system maturity under confidence degree.Also assume that information system is mutually grasped
Work, mutually 3 maturity such as cognition, systems technology are mutual indepedent, give an assessment confidence level α, for based on different grey classes
System technology maturity horizontal vector (SSTRL6,…,SSTRL1), if
It sets up, then judgement system technical maturity level belongs to grey class k*.Similarly, to Information Systems Interoperability, recognize each other
Know that maturity is differentiated, finally judges that information system system maturity is horizontal according to formula (12).
4 system maturity assessment examples
Illustrate that the system maturity based on central point whitened weight function is commented by taking an Air Defence equipment Information System configuration as an example
Valence method, the Air Defence equipment information system include 5 subsystems such as information reconnaissance, collection, fusion, charge and distribution.To air defense
The system maturity assessment of equipment information system Construction is generally by the form tissue of appraisal meeting, by expert group to being pre-designed
Various mature indicator elements score, using average mark as the final score of index, wherein the technology maturation of 5 subsystems
Degree is scored at 78,87,92,83,93, the interoperability of each subsystem and mutually cognition attribute maturity score such as 4 institute of table 3 and table
Show, A1 in table ..., A6 respectively represent subsystem interoperability attribute, B1 ..., B5 respectively represents subsystem and mutually recognizes attribute.
3 subsystem of the table interoperability horizontal score value of attribute maturity
4 subsystem of table mutually recognizes the horizontal score value of attribute maturity
| B1 | B2 | B3 | B4 | B5 | |
| F1 | 93 | 87 | 88 | 88 | 81 |
| F2 | 89 | 78 | 82 | 89 | 88 |
| F3 | 82 | 82 | 90 | 78 | 75 |
| F4 | 89 | 90 | 90 | 83 | 83 |
| F5 | 89 | 88 | 83 | 78 | 88 |
This patent assumes that the weight between subsystem is respectively 0.25,0.18,0.18,0.25,0.14, according to 6 grey classes
Central point whitened weight function, the technical maturity level matrix of 5 subsystems is
Then have technical maturity horizontal vector of the information system based on different grey classes be (0.6473,0.3527,0,0,0,
0), technical maturity level belongs to grey class " 6 ".
Weight assuming that subsystem interoperates between 6 attributes is respectively 0.18,0.18,0.18,0.15,0.15,0.16,
According to 3 data of Step6 and table, the matrix for obtaining subsystem is
Then have interoperability maturity horizontal vector of the information system based on different grey classes be (0.6226,0.3670,
0.0104,0,0,0), interoperability maturity level belongs to grey class " 6 ".
Assuming that the weight that subsystem mutually recognizes between 5 attributes is respectively 0.18,0.24,0.20,0.20,0.18, according to
4 data of Step6 and table, the mutual cognition maturity level matrix for obtaining subsystem are
Then have mutual cognition maturity horizontal vector of the information system based on different grey classes for (0.6912,0.3088,0,0,0,
0), mutually cognition maturity level belongs to grey class " 6 ".According to formula (12), it is known that the system of Air Defence equipment information system in this example
Maturity belongs to grey class " 6 " level.
Compare system maturity meaning in the evaluation result and table 2, qualitative evaluation result and the practical feelings of system maturity
Condition has certain discrepancy, substantially show that the average confidence level of the evaluation result is only 0.654.Assuming that given assessment confidence water
Flat 0.85, then according to Step10, information systems technology maturity level belongs to grey class " 5 ", mutually cognition and interoperability maturity water
Flat to belong to grey class " 5 ", it is more consistent that system maturity belongs to system maturity meaning ratio in grey class " 5 " level and table 2.
Claims (2)
1. a kind of information system system maturity qualitative evaluation implementation based on confidence level and central point whitened weight function,
It is characterized in that：Including information system, information system system maturity, information system is connected with information system system maturity, institute
It states information system to be made of n subsystem, information system system maturity, including the interoperability maturity of information system, recognizes each other
Know maturity, technical maturity, interoperability maturity, mutually cognition maturity, technical maturity are interoperated by subsystem respectively
Maturity, subsystem mutually recognize maturity, subsystem technical maturity is connected with n subsystem.
2. a kind of information system system maturity qualitative evaluation method based on confidence level and central point whitened weight function, special
Sign is：Its step are as follows：
1) it, indicates that information system system maturity is horizontal using variable ISRL, is expressed as
ISRL=f (IORL, MKRL, STRL) (1)
Variable IORL, MKRL, STRL indicate the interoperating of information system, mutually 3 maturations such as cognition and systems technology respectively in formula
Horizontal component is spent, f indicates the aggregate function of 3 components；
Indicate that subsystem interoperability maturity is horizontal using variable SIORL, to the n subsystem interoperability maturity of information system
Level is polymerize, and the interoperability maturity horizontal expression formula for obtaining information system is
IORL=f1(SIORL1,…,SIORLj,…,SIORLn) (2)
SIORL in formulajIndicate that j-th of subsystem interoperability maturity is horizontal, f1Indicate subsystem interoperability maturity level polymerization
Function；
The expression formula of same MKRL, STRL is respectively
MKRL=f2(SMKRL1,…,SMKRLj,…,SMKRLn) (3)
STRL=f3(STRL1,…,STRLj,…,STRLn) (4)
SMKRLj、STRLjIndicating j-th of subsystem respectively, mutually cognition and technical maturity are horizontal, f2And f3Subsystem is indicated respectively
Mutually cognition and the horizontal aggregate function of technical maturity；Wherein subsystem technical maturity level is ripe by subsystem Integration ofTechnology
The polymerization for the single technology maturity spent and be related to obtains；
In above-mentioned each polymerization model, relative importance and subsystem between n subsystem of investigation is needed to interoperate,
The mutually relative importance between cognition maturity element；
2), maturity Grade Model
Concept definition defines initial concept, development subsystem and technical method；
Technical need proves key technology and integrated demand that subsystem is related to；
Technological development studies crucial technology and integrated approach, to be integrated into a complete subsystem；
System development and demonstration develop subsystem ability or upgrading improved capacity state, reduce integrated and manufacture risk, it is ensured that make
With supportability, integration capability, collaborative work ability, safety and the serviceability of subsystem are verified；
Production, reaches the operational capacity that subsystem meets mission requirements；
Operational support completes the guarantee plan that disclosure satisfy that operational support performance requirement, and meeting in life cycle management can
Capable maintainability；
For subsystem interoperability, mutually cognition maturity also uses the division of 6 grades, and from small to large, maturity level is more next
It is higher；
Information system be physical domain, information field, cognitive territory, in social domain military activity carrier, be integrated in each of information system
Information can be exchanged between a weaponry and can share, recognizes and utilize exchanged information, information system system maturity grade
Model, maturity Grade Model are as follows：
Without architecture Design, it is integrated in the equipment independent operating of information system, no information exchange, shared and Utilization ability；
The structural approach of point-to-point is avoided that interfering with each other between equipping, and has the information exchange of limitation, shares and utilize energy
Power；
Architecture of project design, have certain equipment architecture effect, have preliminary information seek, exchange, sharing and profit
Use ability；
Equipment architecture feature is embodied in Engineering System structure design, part, has certain information exchange, shared, cognition and utilizes
Ability；
Federated architecture designs, equipment architecture characteristic remarkable, can be appropriately carried out information exchange, shared, cognition and utilize；
Fusion system architecture designs, and equipment architecture feature is apparent, can realize information exchange, shared, cognition without barrier and utilize；
3), the structure of central point whitened weight function regards each maturity grade as grey class hierarchy, using modified central point three
The triangle whitened weight function of angle whitened weight function, grey class starting point and grey class terminal is taken as lower limit and estimates whitened weight function and upper respectively
Limit estimates whitened weight function；For all clustering targets, value range is [0,1]；The grey class of 6 clusters is taken, and will Respectively as the central point of grey class, then in having
Heart point triangle whitened weight function；
FormulaRespectively grey class 1 ..., the central point triangle whitened weight function of grey class 6, according to the letter
Number calculating observation value belongs to the degree of membership of grey class；If x is an observation of maturity clustering target, there is f respectively1 1(x)、Expression formula be
Expression formula be similar to
4), the system maturity qualitative evaluation model based on confidence level and central point whitened weight function is based in modified
Steps are as follows for the system maturity Grey Cluster Appraisal of heart point triangle whitened weight function：
Step1 is formed according to information system and system maturity divides, for point of i-th (i=1,2 ..., n) a subsystem
Systems technology, interoperability and mutual cognition maturity element, evaluation score value is determined based on hundred-mark system；
According between n subsystem, interoperability mutually recognizes between 3 maturity horizontal components of systems technology Step2, point
Interoperability of system, the mutually weight vectors between cognition maturity element；
Step3 determines the grey class of evaluation according to each maturity Grade Model, and determines central point and the evaluation point of each grey class
The degree of membership expression formula of value, calculate separately each evaluation index for all grey classes be subordinate to angle value and obtain its degree of membership to
Amount；
Step4 calculates the technical maturity horizontal vector of a subsystems of i-th (i=1,2 ..., n)；Determine i-th of subsystem skill
Art maturity assessment score value is xik, then can basisExpression formula seek the score value relative to different ashes
Class is subordinate to angle value, i.e.,There is maturity level arrow of i-th of subsystem based on different grey classes
Amount is
Step5 calculates information systems technology maturity horizontal component STRL；Assuming that the weight of i-th of subsystem is wi(i=1,
2 ..., n), then there is the information systems technology maturity level to be for the angle value that is subordinate to of different grey classes
Maximum membership degree processing is carried out to the technical maturity horizontal vector based on different grey classes, takes its maximum value to get information
System technology maturity horizontal component STRL is
STRL=max { SSTRL6,…,SSTRL1} (9)
The interoperability maturity that Step6 calculates a subsystems of i-th (i=1,2 ..., n) is horizontal；It is based on dividing for Step5 determinations
The evaluation score value for h-th of interoperability factor of i of uniting is zih, it is first determined between 6 factors for influencing subsystem interoperability maturity
Relative importance, weight is respectivelySecondly calculate subsystem i about the grey class k of interoperability (k=1,
2 ..., 6) cluster coefficients
The interoperability maturity horizontal vector of (i=1,2 ..., n) a subsystem that finally obtains i-th isAccording to this
Vector takes its maximum value to determine the grey class of level belonging to subsystem interoperability maturity；
Step7 calculates Information Systems Interoperability maturity horizontal component IORL；According to subsystem interoperability maturity horizontal vector
With the weight of subsystem, angle value is subordinate to affiliated grey class and is weighted summation, you can obtains Information Systems Interoperability maturity
Affiliated grey class is subordinate to angle value；Obtain after grey class is subordinate to angle value vector, taking its maximum value, you can obtain Information Systems Interoperability at
Ripe degree horizontal component, such as following formula：
Step8 calculates the mutual cognition maturity level of a subsystems of i-th (i=1,2 ..., n) and information system mutually recognizes maturation
Spend horizontal component MKRL；Determine the evaluation score value o of first of mutual perceptional factors of subsystem iihAfterwards, subsequent step be similar to Step6 and
Step7；
Step9 carries out the rough sort evaluation of information system system maturity；Assuming that Information Systems Interoperability, mutually cognition, system skill
Influence of 3 maturity such as art to information system system maturity is independent, then according to Bucket Principle, there is information system system
Maturity assessment of levels model
ISRL=min { IORL, MKRL, STRL } (12)
The value range of ISRL is [0,1] in formula, and this method has only carried out roughly information system system maturity level
Grey class is sorted out；
Step10 carries out the essence assessment of information system system maturity under confidence level, it is also assumed that Information Systems Interoperability is recognized each other
Know, 3 maturity of systems technology it is mutual indepedent, an assessment confidence level α is given, for the systems technology based on different grey classes
Maturity horizontal vector (SSTRL6,…,SSTRL1), if
It sets up, then judgement system technical maturity level belongs to grey class k*；Similarly, it is recognized to Information Systems Interoperability, mutually ripe
Degree is differentiated, finally judges that information system system maturity is horizontal according to formula (12).
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