CN107203493A - Multiple target battle field situation method based on complicated ratio evaluation method - Google Patents
Multiple target battle field situation method based on complicated ratio evaluation method Download PDFInfo
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Abstract
The invention provides a kind of multiple target battle field situation method based on complicated ratio evaluation method, objective attribute target attribute decision matrix is constructed first, then the weight of j-th of objective attribute target attribute is determined using entropy assessment, annoyance level calculating is finally carried out using complicated ratio evaluation method and sorted.Sensitivity of the present invention is high, it is adaptable to which we meets with large-scale cluster aircraft disturbed condition, and based on objective information, it is to avoid the random sex chromosome mosaicism of subjectivity of Bayesian network, analytic hierarchy process (AHP) etc., improves the reasonability and accuracy of target jamming degree sequence.
Description
Technical field
The invention belongs to domain of data fusion, more particularly to a kind of multiple target battle field situation method.
Background technology
Data fusion technique refers to using computer to some observation informations chronologically obtained, is subject under certain criterion
Automatically analyze, integrate, the information processing technology carried out with the decision-making needed for completing and assessment task.It is information science field
An interior technology, is the important foundation of New Generation of Intelligent information technology, and the technology is applied to military field earliest.And situation is estimated
Meter is important part in data fusion research.We is disturbed aircraft by the aircraft of a large amount of different situation of enemy
When, rational annoyance level sequence how is made, is very important for our commanding and decision-making.Therefore, battle field situation is
The premise of reasonable commanding and decision-making is carried out, Research Significance is great.
At present, for multiple target battle field situation problem, scholars have carried out some researchs.Conventional multiple target battle field situation
Method has levels analytic approach, intuitionistic Fuzzy Sets, Bayesian inference, expert system etc..In the prior art, analytic hierarchy process (AHP), expert
System, Bayesian inference etc. can be influenceed by subjective factor mostly, and reliability is relatively low, and TOPSIS methods have ignored alternative
The distance of distance and ill ideal solution away from ideal scheme, that is, think all distances away from positive ideal solution be less than away from minus ideal result away from
From scheme be superior to away from a distance from positive ideal solution be equal to the scheme away from minus ideal result distance, therefore obtain ideal solution be not necessarily most
Close to the solution of ideal point, thus the ranking results confidence level obtained using TOPSIS methods is not high；Multiple criteria, which is compromised, solves ranking method
The limitation of TOPSIS methods is overcome, but the selection of decision factor is relatively difficult.When our aircraft encounter other side collects on a large scale
It is considerable, and above-mentioned according to each aircraft situation of other side change sequence of adjustment interference in time during group's aircraft interference
Method calculates complicated, and sensitivity is low, is not suitable for us and meets with the situation of enemy's large-scale cluster aircraft interference, it is impossible to be anti-in time
Reflect the influence that each target situation change is brought.In addition, the application for complicated ratio evaluation method in battle field situation, grinds at present
Study carefully less.
The content of the invention
In order to overcome the deficiencies in the prior art, the present invention provides a kind of multiple target situation based on complicated ratio evaluation method
Method of estimation, using the high advantage of complicated ratio evaluation method sensitivity, battle field situation is introduced into by complicated ratio evaluation method
In, and determine weight with reference to entropy assessment, it is to avoid it is subjective random, it is ensured that obtained ideal solution is optimal ideal solution.
The technical solution adopted for the present invention to solve the technical problems comprises the following steps：
Step one, objective attribute target attribute decision matrix is constructedIn formula, tijRepresent i-th of mesh
It is marked on the evaluation of estimate under j-th of attribute, i=1,2,3 ... m, m is the number of target, objective attribute target attribute j=1, and 2,3 include angle prestige
Coerce factor Ta=[| φk|+|θk|]/360 °, speed threatening factorsThreatened with distance
The factorIn formula, φkFor target angle of lead；θkEnter for target
Angle, vkIt is target velocity, vzFor my machine speed, rkFor target and our distance, rmFor my machine countermeasure set maximum interference away from
From rmkFor the interference distance of target, rrFor the detection range of my machine detection device；
Step 2, the weight of j-th of objective attribute target attribute is determined using entropy assessmentIn formula,K=1/Inm, Hj>=0, k >=0, work as fijWhen=0, fij In fij=0；
Step 3, carries out annoyance level calculating using complicated ratio evaluation method, comprises the following steps that：
(1) objective attribute target attribute decision matrix T '=(t ' after normalization is calculatedij)m×3,
(2) the decision matrix T "=(t " of the standardization after weighting is calculatedij)m×3, t "ij=ωj×t′ij；
(3) calculate profit evaluation model attribute under weighting standard property value andWith the weighting under cost type attribute
Standardized nature value andWherein, t "+ijIt is the weighting standard property value under profit evaluation model attribute, t "-ijIt is cost
Weighting standard property value under type attribute；
(4) relative importance of each target is calculatedIn formula,
(5) according to QiValue is ranked up, QiValue is bigger, and interference of the corresponding target to us is bigger, threatens bigger, row
Sequence is more forward.
The beneficial effects of the invention are as follows：
The present invention combines entropy assessment and complicated ratio evaluation method, and target jamming degree is ranked up.Use entropy weight
Method handles objective information, obtains each objective attribute target attribute weight, weight is applied in complicated ratio evaluation method, calculates multiple target and does
Disturb degree.Sensitivity of the present invention is high, it is adaptable to which we meets with large-scale cluster aircraft disturbed condition, and using objective information as base
Plinth, it is to avoid the random sex chromosome mosaicism of the subjectivity of Bayesian network, analytic hierarchy process (AHP) etc., improve the reasonability of target jamming degree sequence with
Accuracy.
Complicated ratio evaluation method proposed by the present invention calculates simple, is carried out based on the original objective attribute value of each target
Resolve, can quickly reflect the influence that the situation change of each target is brought, be compromised than multiple criteria and solve ranking method and TOPSIS methods more
It is sensitive, it is adapted to the situation that we disturbs by enemy's large-scale cluster aircraft.
Brief description of the drawings
Fig. 1 is the schematic diagram of target situation of the present invention；
In figure, T is target, and O is us, φkFor target angle of lead；θkFor aspect angle, vkIt is target velocity, rkFor
Target and our distance, arrow are oriented to positive direction.
Embodiment
The present invention is further described with reference to the accompanying drawings and examples, and the present invention includes but are not limited to following implementations
Example.
The present invention proposes the battle field situation method based on complicated ratio evaluation method, and objective attribute target attribute is determined with entropy assessment
Weight, and obtained objective attribute target attribute weight is applied in complicated ratio evaluation method is ranked up resolving.
It is of the present invention to comprise the following steps that：
Step one：Construct objective attribute target attribute decision matrix
In formula, tijRepresenting i-th, (m is for i=1,2,3 ... m) evaluations of estimate of the individual target under jth (j=1,2,3) individual attribute
The number of target.Objective attribute target attribute includes herein below：
(1) angle threatening factors Ta
Ta=[| φk|+|θk|]/360°
In formula, φkFor target angle of lead；θkFor aspect angle.
(2) speed threatening factors Tv
In formula, vkIt is target velocity；vzFor my machine speed
(3) apart from threatening factors Td
In formula, rkFor target and our distance；rmFor the maximum jamming range of my machine countermeasure set；rmkFor the dry of target
Disturb distance；rrFor the detection range of my machine detection device.
Step 2：Objective attribute target attribute weight is determined using entropy assessment.
If the weight of objective attribute target attribute is ω, then j-th of objective attribute target attribute weights omegajIt is as follows：
In formula,K=1/In m, Hj≥0,k≥0.And define
Work as fijWhen=0, fijInfij=0.N is the number of attribute, in the present invention as 3.
Step 3：Annoyance level calculating is carried out using complicated ratio evaluation method.Comprise the following steps that：
(1) objective attribute target attribute decision matrix is normalized, decision matrix T '=(t ' after being normalizedij)m×3
(2) by decision matrix T '=(t ' after normalizationij)m×3Processing is weighted, the standardization after being weighted
Decision matrix T "=(t "ij)m×3。
t″ij=ωj×t′ij
(3) sum of profit evaluation model attribute and the weighting standard property value under cost type attribute is calculated respectively
t″+ijIt is the weighting standard property value under profit evaluation model attribute, t "-ijIt is the weighting standardization category under cost type attribute
Property value.Under profit evaluation model attribute, property value is bigger, shows that interference of the enemy to us is bigger, threatens bigger, sequence is more leaned on
Before；Under cost type attribute, property value is bigger, shows that interference of the enemy to us is smaller, threatens just smaller, sequence is more leaned on
Afterwards.
(4) the relative importance Q of each target is calculatedi
Further simplify above formula, can obtain following formula：
In formula,From above formula, QiWith S+iIt is directly proportional, with S-iIt is inversely proportional.
(5) optimal objective is adjusted.
According to QiValue is ranked up to each target.QiValue is bigger, and interference of the corresponding target to us is bigger, and sequence is more
It is forward.
The present invention is directed to prior art such as TOPSIS methods, Bayesian network, the weak point of analytic hierarchy process (AHP), with reference to entropy weight
Method, and obtained each objective attribute target attribute weight is applied in complicated ratio evaluation method, overcomes the limitation of conventional method simultaneously
Avoid subjective arbitrarily sex chromosome mosaicism.Target battle field situation is carried out using the method for the present invention, sensitivity accurate compared with other method
Height, and be easily achieved, it is adapted to us and meets with the situation of large-scale cluster aircraft interference.
Claims (1)
1. a kind of multiple target battle field situation method based on complicated ratio evaluation method, it is characterised in that comprise the steps：
Step one, objective attribute target attribute decision matrix is constructedIn formula, tijRepresent that i-th of target exists
Evaluation of estimate under j-th of attribute, i=1,2,3 ... m, m is the number of target, objective attribute target attribute j=1,2,3 include angle threaten because
Sub- Ta=[| φk|+|θk|]/360 °, speed threatening factorsWith apart from threatening factorsIn formula, φkFor target angle of lead；θkFor aspect angle, vk
It is target velocity, vzFor my machine speed, rkFor target and our distance, rmFor the maximum jamming range of my machine countermeasure set, rmk
For the interference distance of target, rrFor the detection range of my machine detection device；
Step 2, the weight of j-th of objective attribute target attribute is determined using entropy assessmentIn formula,K=1/Inm, Hj>=0, k >=0, work as fijWhen=0, fijInfij=0；
Step 3, carries out annoyance level calculating using complicated ratio evaluation method, comprises the following steps that：
(1) objective attribute target attribute decision matrix T '=(t ' after normalization is calculatedij)m×3,
(2) the decision matrix T "=(t " of the standardization after weighting is calculatedij)m×3, t "ij=ωj×t′ij；
(3) calculate profit evaluation model attribute under weighting standard property value andWith the weighting standard under cost type attribute
Property value andWherein, t "+ijIt is the weighting standard property value under profit evaluation model attribute, t "-ijIt is cost type attribute
Under weighting standard property value；
(4) relative importance of each target is calculatedIn formula,
(5) according to QiValue is ranked up, QiValue is bigger, and interference of the corresponding target to us is bigger, threatens bigger, sequence is just
It is more forward.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711087A (en) * | 2019-01-14 | 2019-05-03 | 哈尔滨工程大学 | A kind of UUV dynamic threats method for situation assessment |
| CN115186235A (en) * | 2022-09-13 | 2022-10-14 | 中国兵器科学研究院 | Target value ordering method, system, equipment and medium |
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| CN103488886A (en) * | 2013-09-13 | 2014-01-01 | 清华大学 | State threat assessment method based on fuzzy dynamic Bayesian network |
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| EP1087200B1 (en) * | 1999-09-03 | 2005-01-19 | BODENSEEWERK GERÄTETECHNIK GmbH | Missile mission unit |
| CN103246818A (en) * | 2013-05-15 | 2013-08-14 | 西北工业大学 | TOPSIS-method multi-target threat ordering method based on information entropy |
| CN103488886A (en) * | 2013-09-13 | 2014-01-01 | 清华大学 | State threat assessment method based on fuzzy dynamic Bayesian network |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711087A (en) * | 2019-01-14 | 2019-05-03 | 哈尔滨工程大学 | A kind of UUV dynamic threats method for situation assessment |
| CN109711087B (en) * | 2019-01-14 | 2022-06-21 | 哈尔滨工程大学 | UUV dynamic threat situation assessment method |
| CN115186235A (en) * | 2022-09-13 | 2022-10-14 | 中国兵器科学研究院 | Target value ordering method, system, equipment and medium |
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