CN107392474A - Air-to-ground guided missile overall system performance appraisal procedure based on ordering vector method - Google Patents
Air-to-ground guided missile overall system performance appraisal procedure based on ordering vector method Download PDFInfo
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Abstract
The present invention relates to the air-to-ground guided missile System Performance Analysis method based on ordering vector method.Implementation method of the present invention is：Step 1 establishes the index system of air-to-ground guided missile System Performance Analysis；Step 2 builds air-to-ground guided missile system performance attributes matrix according to air-to-ground guided missile System Performance Analysis index system；Step 3 obtains the information vied each other in any two column element of attribute matrix of air-to-ground guided missile system using ordering vector method, obtains air-to-ground guided missile systematic function Competitive Attribution matrix；Step 4 calculates the characteristic vector of air-to-ground guided missile systematic function Competitive Attribution matrix, according in characteristic vector element size, provide the assessment result of corresponding air-to-ground guided missile systematic function.Above-mentioned air-to-ground guided missile System Performance Analysis method is capable of the performance of correct, objective and effective reflection air-to-ground guided missile system, provides theory and technology for newer versions of these missiles System Performance Analysis and design newer versions of these missiles and supports, is a kind of appraisal procedure of great application prospect.
Description
Technical field
The present invention principally falls into guided missile system Performance Evaluation field, and in particular to the air-to-ground guided missile system based on ordering vector method
System performance estimating method.
Background technology
Militarily, described combination property is commonly referred to as certain type armament systems under the conditions of specific fight and provided
Time in complete the ability of a certain combat duty, reflect the armament systems combination property and actual combat under the conditions of utilization
Value.
Armament systems combination property is the comprehensive embodiment of system fight capability, and pursuit is each single index integration capability
Performance, be the overall merit to armament systems superiority-inferiority, by studying the measures of effectiveness of armament systems, system can be proved
The scientific rationality of work and plan, the correctness of scheme；By the effectiveness analysis of armament systems, can be built for weaponry
If the optimum management of engineering, Analysis of Policy Making and the comprehensive eye exam of weaponry that weaponry uses provide important decision-making
Foundation.
Guided missile system Performance Evaluation is the analysis method of applied science and advanced calculating instrument, it is true, objective, reliable and
The quality of guided missile system performance is reasonably assessed, is provided for the demonstration of guided missile system, development and design, equipment fielding and operational exertion
Decision-making foundation.At present, guided missile system performance estimating method mainly has AHP methods, Fuzzy AHP Method, fuzzy arithmetic operation method, fuzzy number
Ranking method, ADC methods, TOPSIS methods and ELECTRE methods etc..
But the above method still has some problems in the application, for example, comparing in AHP methods, judging, result is thick
It is rough, it is difficult to be adapted to the high evaluation problem of required precision；ADC methods are for more large scale system evaluation comparison difficulty of dimension etc..This
Outside, traditional guided missile system performance estimating method, is required for that initial data is normalized, substantially increases amount of calculation,
Particularly large-scale complication system so that assess more difficult.
The content of the invention
In view of the above-mentioned problems, the present invention proposes the vacant lot based on ordering vector method theoretical Perron-Frobenius (PF)
Guided missile system performance estimating method.The present invention is based on each performance comparision of the ordering vector method to different types of air-to-ground guided missile system
Obtain representing the characteristic vector of the combination property of different types of air-to-ground guided missile system, correspondence system is represented with corresponding characteristic value
Combination property, with this realize to each goal systems carry out comprehensive comparison sequence.
The present invention is achieved by the following technical solutions：
A kind of air-to-ground guided missile System Performance Analysis method based on ordering vector method,
The appraisal procedure comprises the following steps：
Step 1 establishes the index system of air-to-ground guided missile System Performance Analysis；
Step 2 builds air-to-ground guided missile system performance attributes matrix according to air-to-ground guided missile System Performance Analysis index system；
Step 3 is obtained using ordering vector method vies each other in any two column element of attribute matrix of air-to-ground guided missile system
Information, obtain air-to-ground guided missile systematic function Competitive Attribution matrix；
Step 4 calculates the characteristic vector of air-to-ground guided missile systematic function Competitive Attribution matrix, according to element in characteristic vector
Size, draw the assessment result of corresponding air-to-ground guided missile systematic function.
Further, the appraisal procedure comprises the following steps：
11) performance attribute matrix A is built using each performance of the air-to-ground guided missile system of N number of modelMSP；Represent same with a line
One model air-to-ground guided missile system, different lines represent the different performance index of same model；
It is matrix AMSPThe i-th row jth row element, represent the i-th model air-to-ground guided missile system j-th of property
Can index；I=1,2,3....N；J=1,2,3....M；The number that N is, M are the number of performance indications, and N and M are more than 2
Integer；
13) A is comparedMSPAny two column element of matrix, comparative result structure Competitive Attribution matrix XMSP：
Wherein, p, q ∈ 1,2 ... N,For Competitive Attribution matrix XMSPPth row q row element；
13) according to matrix XMSP, draw XMSPCharacteristic vector Eig(1×N)；
Then characteristic vector Eig(1×N)Characteristic value Eig1iRepresenting matrix AMSPIn i-th row represent model performance synthesis
Performance scores.
A kind of air-to-ground guided missile System Performance Analysis method based on ordering vector method, the appraisal procedure include following step
Suddenly:
22) performance attribute matrix A is built using each performance of the air-to-ground guided missile system of N number of modelMSP′；Matrix AMSP′No
Same column represents different air-to-ground guided missile systems, and different rows represents the performance indications of same model；
It is matrix AMSP′The element that arranges of jth row i-th, represent j-th of air-to-ground guided missile system of the i-th model
Performance indications；I=1,2,3....N；J=1,2,3....M；N is the number of model, and M is the number of performance, and N and M are to be more than
2 integer；
22) A is comparedMSP′Any two column element of matrix, comparative result structure Competitive Attribution matrix XMSP′：
Wherein, p, q ∈ 1,2 ... N,For Competitive Attribution matrix XMSP' pth row q row member
Element；
23) according to matrix XMSP', draw XMSP' characteristic vector Eig(1×N)′；By characteristic vector Eig(1×N)' transposition obtains
Transposed vector Eig(N×1)′；
Then characteristic vector Eig(N×1)' characteristic value Eigi1' representing matrix AMSP′In the performance of model that represents of i-th row
Combination property score.
Further, during characteristic vector calculates, to ensure that Competitive Attribution matrix is positive matrices, the feature of existence anduniquess to
Amount, when the element value in Competitive Attribution matrix=0, replace with a, 0<a<0.0001.
Further, the performance is selected from, but not limited to, flying quality MFP, guidance ability MGC, accuracy at target MHA, power
MP, injure probability DP, survival ability MS, penetration ability MPC, reliability MR, working service performance UM and battlefield surroundings BFE.
Further, the performance indications are not limited to numerical value, during two performance Indexes Comparisons, when performance indications are more excellent, and property
Energy comparative result is 1；When performance indications are suitable, performance comparison result 1；When performance indications are poor, performance comparison result 0.
The advantageous effects of the present invention：(1) present invention, which proposes, utilizes sky theoretical Perron-Frobenius (PF)
Ground guided missile system performance estimating method, using the competition information between air-to-ground guided missile system performance attributes, can it is correct, objective and
The performance of effective reflection air-to-ground guided missile system；
(2) air-to-ground guided missile system performance attributes matrix is used, it is not necessary to the original number of air-to-ground guided missile system performance attributes
According to normalization, amount of calculation during assessment is effectively reduced；
(3) assessment result for providing air-to-ground guided missile systematic function that methods described can be quick, objective and just, for reality
Air-to-ground guided missile System Performance Analysis in engineer applied provides a kind of new method.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is explained in further detail.It should be appreciated that specific embodiment described herein is used only for explaining the present invention, it is not used to
Limit the present invention.
On the contrary, the present invention covers any replacement done in the spirit and scope of the present invention being defined by the claims, repaiied
Change, equivalent method and scheme.Further, in order that the public has a better understanding to the present invention, below to the thin of the present invention
It is detailed to describe some specific detail sections in section description.Part without these details for a person skilled in the art
Description can also understand the present invention completely.
Embodiment 1
The present embodiment is chosen six type forth generation medium-long range air-to-ground guided missiles and assessed, the data such as institute of table 1 of this six types guided missile
Show.
The performance parameter of 1 six kinds of forth generation medium-long range air-to-ground guided missiles of table
Performance parameter wherein in table 1 is respectively：Flying quality (maximum range RmaxWith maximal rate Vmax) aiming means
Pzd, accuracy at target Pmz, warhead power Pwl, killing probability Pss, survival ability Psc, penetration ability Ptf, reliability Pkc, use dimension
Protect performance PsyWith adaptive capacity to environment Phj。
Performance parameter value in table 1 is organized into matrixEach each performance indications for being classified as same model system, row table
Show evaluated system：
For matrix AMSPThe i-th row jth row element, represent the i-th model air-to-ground guided missile system j-th of performance
Index；I=1,2,3....N；J=1,2,3....M；N is the number of model, and M is the number of performance, and N and M are more than 2
Integer；
Compare AMSPAny two column element of matrix, comparative result structure Competitive Attribution matrix XMSP：
WithFor Competitive Attribution matrix XMSPPth row q row element；
It should be noted that：Comparator matrix AMSPIn element all represent different indexs per a line, some desired values are bigger
Better, some desired values are then the smaller the better.According to formula, compare the 1st row and all performance indications of the 2nd row, such as the 1st row the 1st
Row and the row performance indications of the 2nd row the 1st：SLAM maximum range is more than AGM-84E maximum range, then
Further matrix XMSP：
And then try to achieve XMSPCharacteristic vector be
Eig=[0.2464 0.1151 0.2122 0.1245 0.0938 0.2079]
Obviously
EigSLAM＞ EigAGM-158＞ EigKEPD350>EigAPACHE-AP＞ EigAGM-84E＞ EigPegasus
Therefore the performance ranking for obtaining six type guided missile systems is：
SLAMAGM-158KEPD350APACHE-APAGM-84EPegasus is visible, and guided missile SLAM performance is most
It is excellent
Embodiment 2
The present embodiment is substantially the same manner as Example 1, and difference is,
Performance parameter value in table 1 is organized into attribute matrix AMSP′, the performance of same model is a line；Matrix AMSP′
Jth row i-th arrange element, represent the i-th model air-to-ground guided missile system j-th of performance indications；I=1,2,3....N；J=
1,2,3....M；N is the number of model, and M is the number of performance, and N and M are the integer more than 2.
Compare AMSP′Any two column element of matrix, comparative result structure Competitive Attribution matrix XMSP′：
Wherein, p, q ∈ 1,2 ... N,For Competitive Attribution matrix XMSP' pth row q row member
Element；Now XMSP' be
According to matrix XMSP', draw XMSP' characteristic vector Eig(1×N)' and matrix XMSPCharacteristic vector it is consistent, therefore comment
It is same to estimate result.
Claims (6)
1. the air-to-ground guided missile System Performance Analysis method based on ordering vector method, it is characterised in that the appraisal procedure include with
Lower step：
Step 1 establishes the index system of air-to-ground guided missile System Performance Analysis；The index system includes N number of model air-to-ground guided missile
M performance corresponding to system and each system；N and M is the integer more than 2；
Step 2 builds air-to-ground guided missile system performance attributes matrix according to air-to-ground guided missile System Performance Analysis index system；
Step 3 obtains the letter vied each other in any two column element of attribute matrix of air-to-ground guided missile system using ordering vector method
Breath, obtains air-to-ground guided missile systematic function Competitive Attribution matrix；
Step 4 calculate air-to-ground guided missile systematic function Competitive Attribution matrix characteristic vector, according in characteristic vector element
Size, draw the assessment result of corresponding air-to-ground guided missile systematic function.
2. appraisal procedure as claimed in claim 1, it is characterised in that the tool of the step after index system is established in the appraisal procedure
Body is：
11) performance attribute matrix A is built using each performance of the air-to-ground guided missile system of N number of modelMSP；The performance of same model refers to
It is designated as a line；
For aWijIt is matrix AMSPThe i-th row jth row element, represent the i-th model air-to-ground guided missile system j-th of performance
Index；I=1,2,3....N；J=1,2,3....M；
12) A is comparedMSPAny two row element of matrix, comparative result structure Competitive Attribution matrix XMSP：
<mrow>
<msub>
<mi>M</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
<mi>C</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
<mo>;</mo>
<msubsup>
<mi>A</mi>
<mrow>
<mo>(</mo>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>M</mi>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>M</mi>
</munderover>
<msub>
<mi>m</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
<mi>C</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
<mo>;</mo>
<msubsup>
<mi>A</mi>
<mrow>
<mi>j</mi>
<mrow>
<mo>(</mo>
<mrow>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, p, q ∈ 1,2 ... N,For Competitive Attribution matrix XMSPPth row q row element；
13) according to matrix XMSP, draw XMSPCharacteristic vector Eig(1×N)；
Then characteristic vector Eig(1×N)Characteristic value Eig1iRepresenting matrix AMSPIn i-th row represent model performance combination property
Score.
3. appraisal procedure as claimed in claim 1, it is characterised in that the tool of the step after index system is established in the appraisal procedure
Body is：
21) performance attribute matrix A is built using each performance of the air-to-ground guided missile system of N number of modelMSP′；
The performance indications of same model are a row；
ForIt is matrix AMSP′Jth row i-th arrange element, represent the i-th model air-to-ground guided missile system j-th of property
Can index；I=1,2,3....N；J=1,2,3....M；
22) A is comparedMSP′Any two column element of matrix, comparative result structure Competitive Attribution matrix XMSP′：
<mrow>
<msub>
<mi>M</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
<mi>C</mi>
</mrow>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
<mo>;</mo>
<msubsup>
<mi>A</mi>
<mrow>
<mo>(</mo>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>M</mi>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>M</mi>
</munderover>
<msub>
<mi>m</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
<mi>C</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
<mo>;</mo>
<msubsup>
<mi>A</mi>
<mrow>
<mi>j</mi>
<mrow>
<mo>(</mo>
<mrow>
<mi>p</mi>
<mo>,</mo>
<mi>q</mi>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>M</mi>
<mi>S</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Wherein, p, q ∈ 1,2 ... N,For Competitive Attribution matrix XMSP' pth row q row element；
23) according to matrix XMSP', draw XMSP' characteristic vector Eig(1×N)′；By characteristic vector Eig(1×N)' transposition obtains transposition
Vectorial Eig(N×1)′；
Then characteristic vector Eig(N×1)' characteristic value Eigi1' representing matrix AMSP′In the i-th row represent model performance it is comprehensive
Can score.
4. the appraisal procedure as described in Claims 2 or 3, it is characterised in that during characteristic vector calculates, to ensure Competitive Attribution matrix
For positive matrices, the characteristic vector of existence anduniquess, when the element value in Competitive Attribution matrix is equal to 0, a is replaced with, 0<a<
0.0001。
5. the appraisal procedure as described in Claims 2 or 3, it is characterised in that the performance be selected from, but not limited to, flying quality MFP,
Guidance ability MGC, accuracy at target MHA, power MP, injure probability DP, survival ability MS, penetration ability MPC, reliability MR, make
With maintainability UM and battlefield surroundings BFE.
6. the appraisal procedure as described in Claims 2 or 3, it is characterised in that the performance indications are not limited to numerical value, and two performances refer to
When mark compares, when performance indications are more excellent, performance comparison result 1；When performance indications are suitable, performance comparison result 1；Performance refers to
When marking poor, performance comparison result 0.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109993398A (en) * | 2019-01-26 | 2019-07-09 | 中国人民解放军空军工程大学 | A kind of air-to-ground guided missile Accuracy Asse ssment method based on Error Spectrum |
| CN110909974A (en) * | 2019-09-29 | 2020-03-24 | 中国人民解放军空军工程大学 | Improved radar map evaluation method based on sorting vectors |
| CN112541274A (en) * | 2020-12-18 | 2021-03-23 | 中国人民武装警察部队工程大学 | Missile system efficiency evaluation method based on PCM-TOPSIS method |
| CN112541272A (en) * | 2020-12-18 | 2021-03-23 | 中国人民武装警察部队工程大学 | High-accuracy evaluation method for hit precision of hypersonic aircraft based on error spectrum |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102005055333A1 (en) * | 2005-11-21 | 2007-05-31 | Würsig, Gerd-Michael, Dr. | Heat exchanger e.g. charge-air cooler, performance evaluation and monitoring method for use in ship, involves representing exchanger as matrix of cellular surface units, where total of surfaces corresponds to total surface of exchanger |
| CN101982830A (en) * | 2010-11-12 | 2011-03-02 | 上海海事大学 | Comprehensive evaluation index system of ship routing scheme and combined evaluation method thereof |
| CN104899459A (en) * | 2015-06-16 | 2015-09-09 | 北京亿利智慧能源科技有限公司 | Battery performance evaluation method based on analytical hierarchy process |
| CN106600116A (en) * | 2016-11-28 | 2017-04-26 | 北京城市排水集团有限责任公司 | Sludge plate frame dewatering effect evaluation method based on FAHP method |
-
2017
- 2017-07-26 CN CN201710618840.8A patent/CN107392474A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102005055333A1 (en) * | 2005-11-21 | 2007-05-31 | Würsig, Gerd-Michael, Dr. | Heat exchanger e.g. charge-air cooler, performance evaluation and monitoring method for use in ship, involves representing exchanger as matrix of cellular surface units, where total of surfaces corresponds to total surface of exchanger |
| CN101982830A (en) * | 2010-11-12 | 2011-03-02 | 上海海事大学 | Comprehensive evaluation index system of ship routing scheme and combined evaluation method thereof |
| CN104899459A (en) * | 2015-06-16 | 2015-09-09 | 北京亿利智慧能源科技有限公司 | Battery performance evaluation method based on analytical hierarchy process |
| CN106600116A (en) * | 2016-11-28 | 2017-04-26 | 北京城市排水集团有限责任公司 | Sludge plate frame dewatering effect evaluation method based on FAHP method |
Non-Patent Citations (1)
| Title |
|---|
| 徐林生: "面向武器装备论证过程的多属性评价方法研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109993398A (en) * | 2019-01-26 | 2019-07-09 | 中国人民解放军空军工程大学 | A kind of air-to-ground guided missile Accuracy Asse ssment method based on Error Spectrum |
| CN110909974A (en) * | 2019-09-29 | 2020-03-24 | 中国人民解放军空军工程大学 | Improved radar map evaluation method based on sorting vectors |
| CN112541274A (en) * | 2020-12-18 | 2021-03-23 | 中国人民武装警察部队工程大学 | Missile system efficiency evaluation method based on PCM-TOPSIS method |
| CN112541272A (en) * | 2020-12-18 | 2021-03-23 | 中国人民武装警察部队工程大学 | High-accuracy evaluation method for hit precision of hypersonic aircraft based on error spectrum |
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