CN104318078B - A kind of target status identity method based on schema theory and Analytic Network Process - Google Patents
A kind of target status identity method based on schema theory and Analytic Network Process Download PDFInfo
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Abstract
The present invention provides a kind of target status identity method based on schema theory and Analytic Network Process, objective and accurate that target situation is described and its situation grade is evaluated.Step 1: using the user to make a plan with the aid decision personnel of scheme as target status identity system, the data of a period, the date every minute and second of date every minute and second and end time including initial time are selected；Step 2: server end after time data is received, all situation data of corresponding period is read out, are then input to Situation Awareness schema；Step 3: Situation Awareness schema establishes the mathematical model of description target situation feature based on schema theory according to input data；Step 4: assessment module, by evaluating algorithm, calculates the integrated value of target situation according to the mathematical model of the target situation feature of foundation；Step 5: according to the integrated value size being calculated, target situation grade is determined.
Description
Technical field
The present invention relates to a kind of target status identity methods based on schema theory and Analytic Network Process, belong to target state
Gesture evaluates field.
Background technology
Target status identity is in regular hour and space, is coupled between target entity attribute change rule and entity
The dynamic evaluation of relationship.Evaluation purpose is to judge that goal activity is intended to, and then formulate corresponding action countermeasure.Rating is pair
Target situation most directly, most objectively judges and description, provides effective support for aid decision, importance is apparent.
Target status identity is a decision problem for needing to consider many correlative factors.A kind of base is proposed thus
In the target status identity method of schema theory and Analytic Network Process, quantitatively evaluate including target significance level, threatened
Degree easily ruins target situation including the composite factors such as degree, influence degree, and providing guidance to formulate corresponding action countermeasure makees
With.
Target status identity system based on schema theory and Analytic Network Process is that one kind is quick, intelligence, objectively comments
Determine system.He can carry out Comprehensive Assessment to each target, then obtain target situation according to the objective attribute target attribute perceived
Rating and sorted lists.
Existing method for situation assessment is evaluated using statistical method or qualitative reasoning method, is also had the drawback that：
The target Situation model of foundation can not adapt to the scene of dynamic change, the Ability of emergency management of lack of wisdom；Traditional situation grade
Appraisal procedure carries out a large amount of it is assumed that having ignored interdependence and the feedback of physical presence between index when choosing evaluation index
Relationship, so as to reduce the objectivity of assessment result and credibility.
Invention content
The present invention provides a kind of target status identity method based on schema theory and Analytic Network Process, objective and accurate
Target situation is described and its situation grade is evaluated, and target status identity method is applied to determine to the auxiliary of goal activity
Plan system.
The technical solution adopted by the present invention to solve the technical problems is：
Target status identity method based on schema theory and Analytic Network Process, includes the following steps：
Step 1: using the user to make a plan with the aid decision personnel of scheme as target status identity system, one is selected
The data of a period, the date every minute and second of date every minute and second and end time including initial time；
Step 2: after time data is received, all situation data of corresponding period are read out for server end,
It is then input to Situation Awareness schema；
Step 3: Situation Awareness schema establishes the number of description target situation feature based on schema theory according to input data
Learn model；
Step 4: assessment module, by evaluating algorithm, calculates mesh according to the mathematical model of the target situation feature of foundation
The integrated value of standard state gesture；
Step 5: according to the integrated value size being calculated, target situation grade is determined.
Further, it is further included after step 5 Step 6: target evaluation result is passed through network transmission to client, policymaker
The evaluation of each target situation and the threat level list of target situation are checked by browser.
Further, the mathematical model of description target situation feature is established wherein in step 3 using following methods：
3.1 Situation Awareness schemas are described using a five repeated order member relationships, i.e.,
Wherein, R is input information collection, and Q is characterized primitive collection, and K is weight matrix,For operation relation, Φ is characterized mould
Type；
3.2 input information collection R are the input variable collection in Situation Awareness space, are expressed as：
R={ r1,r2,…,rn}
Wherein, riFor i-th of input variable, input variable includes target identities r1, type r2, quantity r3, position r4, speed
r5；
3.3 feature primitive collection Q are described as：
Q={ q1,q2,…,qm}
Wherein, qiRespectively target significance level, threat degree, easily ruin degree, influence degree, each feature primitive
It is the function for inputting information and its weight product, i.e.,：
qi=f (Α R)
Wherein, the weight Α for inputting information calculates acquisition by analytic network process；
3.4 feature primitives are represented by "AND", inclusive-OR operation constitutive characteristic metaset, feature metaset constitutive characteristic model Φ
For：
Φ={ φ1,φ2,…,φn}
3.5 characteristic models describe the whole situation of current goal environment, are the output informations for perceiving schema, are commented for situation
Fixed to provide input information, characteristic model Φ and the relationship of feature primitive collection Q are expressed as：
Wherein, K is the relational matrix of n × m ranks, and wherein element value takes -1 or 0 or 1, represents negate, zero-sum is taken to take respectively
Just；SymbolIt is a kind of relationship of matrix "AND", i.e., is the relationship of "AND" between each feature primitive of composition characteristic member.
Further, the integrated value of target situation is calculated wherein in step 4 using following methods：
4.1 utilize analytic network process, and the hypermatrix of information and the weight of feature primitive is inputted by construction, calculate defeated
Enter information weight value αiWith feature primitive weighted value βj；
4.2 assessment modules determine relational matrix K according to evaluating target, determine the characteristic model of description current goal situation,
And the feature primitive that model includes；
The feature primitive qi that 4.3 assessment modules are generated according to assessment criteria, calculating perception schema, i.e. target significance level,
Threat degree easily ruins degree, influence degree；
4.4 couples of feature primitive value qjIt is standardized, standardization formula is：
The standardized value of 4.5 feature based collection primitivesAnd its weight, evaluation integrated value is calculated using weighted sum, is calculated public
Formula is：
Wherein, βjIt is characterized the weights of primitive, and Σ βj=1.
Further, in the step five, the grade of all target situation is ranked up, obtains the ranking of target situation
List.
Beneficial effects of the present invention：(1) formalized model established using schema theory more objectively reacts target state
Gesture feature situation more adapts to target and its dynamic change of attribute.(2) target situation is commented using analytic network process
It is fixed more accurate, credible, reasonably solve the problems, such as interdependence between deliberated index, phase mutual feedback complex relationship.(3) it uses
The system structure of B/S causes user only need to can be in the more people's Synchronous of client by browser.(4) it is write using JAVA
Assessment system has been provided simultaneously with the characteristics of cross-platform again, can run on all kinds of systems for being mounted with JRE virtual machines.(5) operation letter
It is single, the Comprehensive Assessment result and sorted lists of all target situation can be finally obtained, user is helped to carry out aid decision.
Description of the drawings
Fig. 1 is to perceive schema modeling principle block diagram；
Fig. 2 is target situation character network model；
Fig. 3 is analytic network process calculation process.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings：
The present invention uses B/S structures.That is Browser/Server (browser/server) structure, is with network technology
Development, it is a kind of to C/S structures variation or improved structure.Under this configuration, user interface passes through Web browser reality completely
Existing, a part of the affair logic is realized in front end, but major affairs logic is realized in server end.So that user is led to
More person-times of the browser that the system of mistake carries while observe data.
The present invention operation principle be：Schema theory is a kind of theory for building organized structure of knowledge frame, this
Frame is that a certain scope things characteristic feature is abstracted, and contains the general information of objective environment and event, have changeability,
Structural and initiative feature.Schema theory is also a kind of to be described from angle that is qualitative and being quantitatively combined and portray complexity and ask
Inscribe the intelligent method of feature and rule.Analytic Network Process method is a kind of decision science method of the multiple criteria of practicality, can be with
The complicated inside of processing has interdependent, external with the decision problem fed back, and makes the solution of challenge more complete, more
Add science.
The evaluation of target situation be aid decision support important prerequisite and basis, evaluation it is whether accurate, complete directly
Influence the success or failure of decision.During target status identity, many important deliberated indexes can be related to, phase between these indexs
Mutual interdependent, phase mutual feedback, there is stronger correlation and couplings.For target status identity, there are many solve at present
Certainly method, the fusion type decision-making technique such as Fuzzy Multi-Attribute Decision Making, based on Bayesian network, the decision based on AHP analyses
Method etc., but above method all can not be in processing target situation, the interdependence of physical presence and asking for feedback between deliberated index
Topic.In this case, it is proposed that the decision-making technique based on schema theory and Analytic Network Process is applied to target situation
In evaluation.
Target status identity method based on schema theory and Analytic Network Process is for the objective attribute target attribute tool perceived
Volume data extracts target signature by schema theory, merges, and foundation can adapt to objective attribute target attribute dynamic change, intelligence
The Situation model of energy；By Analytic Network Process method, the Situation model based on foundation evaluates situation grade, obtains visitor
It sees, is comprehensive, believable result.Here mainly complex relationship formalized description between deliberated index is solved the problems, such as with schema theory,
Solution is optimized to above-mentioned model using Analytic Network Process method.
The invention mainly includes steps：
(1) user to make a plan with the aid decision personnel of scheme as target status identity system, when selecting one
Between section data, the date every minute and second of date every minute and second and end time including initial time.
(2) all situation data of corresponding period are read out, then by server end after time data is received
It is input to Situation Awareness schema.
(3) schema is perceived according to input data, and the mathematical model of description target situation feature, packet are established based on schema theory
It includes：
(3.1) perceiving schema can be described with a five repeated order member relationships, i.e.,
Wherein, R is input information collection, and Q is characterized primitive collection, and K is weight matrix,For operation relation, Φ is characterized mould
Type.
(3.2) input information collection R is the input variable collection in Situation Awareness space, is represented by：
R={ r1,r2,…,rn}
Wherein, riFor i-th of input variable.Common input variable has target identities r1, type r2, quantity r3, position r4、
Speed r5Deng.
(3.3) feature primitive collection Q can be described as：
Q={ q1,q2,…,qm}
Wherein, qiRespectively target significance level, threat degree, easily ruin degree, influence degree etc..Each feature primitive
All it is the function for inputting information and its weight product, i.e.,：
qi=f (Α R)
Wherein, the weight Α for inputting information calculates acquisition by analytic network process.
(3.4) feature primitive passes through the operations such as "AND", "or" constitutive characteristic member, feature metaset constitutive characteristic model Φ, table
It is shown as：
Φ={ φ1,φ2,…,φn}
(3.5) characteristic model describes the whole situation of current goal environment, is the output information for perceiving schema, is situation
Evaluation provides input information.Characteristic model Φ and the relationship of feature primitive collection Q can be expressed as：
Wherein, K is the relational matrix of n × m ranks, and wherein element value can use -1,0,1 three value, represents negate, take zero respectively
With take just.SymbolIt is a kind of relationship of matrix "AND", i.e., is the relationship of "AND" between each feature primitive of composition characteristic member.
(4) assessment module, by evaluating algorithm, calculates mesh on the basis of the target situation characteristic model having built up
The grade of standard state gesture.
(4.1) using analytic network process, the hypermatrix of information and the weight of feature primitive is inputted by construction, is calculated
Input information weight value αiWith feature primitive weighted value βj。
(4.2) assessment module determines relational matrix K, determines the character modules of description current goal situation according to evaluating target
The feature primitive that type and model include.
(4.3) assessment module calculates the feature primitive q for perceiving schema generation according to assessment criteriai, i.e. the important journey of target
Degree, easily ruins degree, influence degree etc. at threat degree.
(4.4) to feature primitive value qjIt is standardized, standardization formula is：
(4.5) standardized value of feature based collection primitiveAnd its weight, evaluation integrated value, meter are calculated using weighted sum
Calculating formula is：
Wherein, βjIt is characterized the weights of primitive, and Σ βj=1.
(5) according to the integrated value size being calculated, target situation grade is determined.
Further, in (4), relational matrix K is determined according to evaluating target, removes the feature for being unsatisfactory for goal condition
Primitive, the feasible zone of final determining characteristic model is φj(j=1,2 ..., n), n≤m.
Further, in (5), the grade of all target situation is ranked up, obtains the ranking of target situation
List；The method further includes：
(6) by target evaluation result by network transmission to client, policymaker checks each target state by browser
The evaluation of gesture and the threat level list of target situation.
Further, the input information includes：Target identities, type, quantity, position, speed, frequency, advance
Deng；The feature primitive includes：Target significance level, easily ruins degree, influence degree etc. at threat degree.
In (4), the target status identity system based on schema theory and Analytic Network Process passes through JAVA languages
Speech is write.
Fig. 1 is the general frame that the present invention is used to establish target Situation model.In Fig. 1, input information is to perceive schema
Input variable, such as the identity r of target1, type r2, quantity r3, position r4, speed r5, frequency r6, advance r7Deng；Input letter
Breath forms feature primitive by feature extraction, such as target significance level q1:r1∪r2∪r7, threat degree q2:r2∪r3∪r4, easily
Ruin degree q3:r2∪r5∪r6, influence degree q4:r1∪r2∪r4Deng；Feature primitive passes through the operations constitutive characteristic such as "AND", "or"
Member, the set of characteristic element constitute the character network model of target situation.
Fig. 2 is the target situation character network model established based on schema theory.In fig. 2, target situation character network
Model includes target significance level, influence degree, threat degree, easily ruins four submodels such as degree.Target significance level submodule
Type is the function of the indexs such as target identities, type, advance；Influence degree submodel is the indexs such as target identities, type, position
Function；Threat degree submodel is the function of the indexs such as target location, type, speed；It is target class easily to ruin degree submodel
The function of the indexs such as type, speed, frequency.There are interdependence and the relationship of feedback between index in submodel, so as to form son
The relationship of interdependence and feedback between model, and form the target situation characteristic model of network hierarchical structure.
Fig. 3 is the calculation process of the target situation grade evaluation based on Analytic Network Process.In figure 3, based on foundation
Target situation characteristic model establishes qualitatively incidence relation, and then determine the incidence relation between index set between deliberated index；It adopts
The judgment matrix of index weights, and parameter weight hypermatrix are established with indirect dominance criterion；Surpass square based on index weights
The weight calculation of battle array and index set construction limit hypermatrix；Eventually by target situation characteristic model and the weight meter of corresponding index
Target situation grade is calculated, and all target situation grades are ranked up.
Claims (4)
1. the target status identity method based on schema theory and Analytic Network Process, which is characterized in that include the following steps：
Step 1: using the user to make a plan with the aid decision personnel of scheme as target status identity system, when selecting one
Between section data, the date every minute and second of date every minute and second and end time including initial time；
Step 2: server end after time data is received, all situation data of corresponding period is read out, then
It is input to Situation Awareness schema；
Step 3: Situation Awareness schema establishes the mathematical modulo of description target situation feature based on schema theory according to input data
Type；
Step 4: assessment module, by evaluating algorithm, calculates target state according to the mathematical model of the target situation feature of foundation
The integrated value of gesture；
4.1 utilize analytic network process, and the hypermatrix of information and the weight of feature primitive is inputted by construction, calculate input letter
Cease weight value αiWith feature primitive weighted value βj；The input information includes：Target identities, type, quantity, position, speed, frequency
Rate；
4.2 assessment modules determine relational matrix K according to evaluating target, determine description current goal situation characteristic model and
The feature primitive that model includes；
4.3 assessment modules calculate the feature primitive q for perceiving schema generation according to assessment criteriai, i.e., target significance level, threaten journey
Degree easily ruins degree, influence degree；
4.4 couples of feature primitive value qjIt is standardized, standardization formula is：
The standardized value of 4.5 feature based collection primitivesAnd its weight, evaluation integrated value is calculated using weighted sum, calculation formula is：
Wherein, βjIt is characterized the weights of primitive, and ∑ βj=1;
Step 5: according to the integrated value size being calculated, target situation grade is determined.
2. the target status identity method based on schema theory and Analytic Network Process, feature exist as described in claim 1
In further, after step 5 further including Step 6: by target evaluation result by network transmission to client, policymaker passes through
Browser checks the evaluation of each target situation and the threat level list of target situation.
3. the target status identity method based on schema theory and Analytic Network Process as claimed in claim 1 or 2, feature
It is, further, establishes the mathematical model of description target situation feature wherein in step 3 using following methods：
3.1 Situation Awareness schemas are described using a five repeated order member relationships, i.e.,
Wherein, R is input information collection, and Q is characterized primitive collection, and K is weight matrix,For operation relation, Φ is characterized model；
3.2 input information collection R are the input variable collection in Situation Awareness space, are expressed as：
R={ r1,r2,…,rn}
Wherein, riFor i-th of input variable, input variable includes target identities r1, type r2, quantity r3, position r4, speed r5；
3.3 feature primitive collection Q are described as：
Q={ q1,q2,…,qm}
Wherein, qiRespectively target significance level, threat degree, easily ruin degree, influence degree, each feature primitive is defeated
Enter the function of information and its weight product, i.e.,：
qi=f (AR)
Wherein, the weight A for inputting information calculates acquisition by analytic network process；
3.4 feature primitives are expressed as by "AND", inclusive-OR operation constitutive characteristic metaset, feature metaset constitutive characteristic model Φ：
Φ={ φ1,φ2,…,φn}
3.5 characteristic models describe the whole situation of current goal environment, are the output informations for perceiving schema, are carried for status identity
For inputting information, characteristic model Φ and the relationship of feature primitive collection Q are expressed as：
Wherein, K is the relational matrix of n × m ranks, and wherein element value takes -1 or 0 or 1, represents negate, zero-sum is taken to take just respectively；Symbol
NumberIt is a kind of relationship of matrix "AND", i.e., is the relationship of "AND" between each feature primitive of composition characteristic member.
4. the target status identity method based on schema theory and Analytic Network Process as claimed in claim 1 or 2, into one
It walks, in the step five, the grade of all target situation is ranked up, obtains the ranked list of target situation.
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