CN113159477A - Combat readiness integrity evaluation method and device based on cooperative game - Google Patents
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Abstract
The invention relates to a combat readiness integrity assessment method and device based on cooperative game, wherein the method comprises the following steps: obtaining element evaluation indexes of elements to be evaluated in an operation system in a ship; respectively determining a plurality of weight vectors of the element evaluation index according to a plurality of algorithms; determining the combination weight of the element evaluation indexes by a cooperative game method; correcting the combined weight according to the balance coefficient, and determining the correction weight of the element evaluation index; determining an element layer index of the element to be evaluated according to the correction weight of the element evaluation index; and determining the system layer index of the operating system according to the element layer index of the element to be evaluated corresponding to the operating system. The method effectively determines the corresponding combined weight of the element to be evaluated by taking the cooperative game into consideration and the methods for calculating the weights, ensures the accuracy of weight distribution, and comprehensively ensures the high-efficiency construction of the evaluation system by continuously adjusting the weight by correcting the weight so as to describe the capability of normal work of equipment in the whole maritime mission period of the ship.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a combat readiness integrity assessment method and device based on cooperative game.
Background
Combat readiness integrity refers to the ability of an equipment system/device to perform all of the tasks undertaken under both normal and wartime conditions of use. Related personnel need to master the combat readiness integrity status information of a specific military system in real time and make corresponding instruction decisions. The acquisition of combat readiness integrity status information requires combat readiness integrity assessment techniques to support, and therefore how to effectively assess combat readiness is critical to achieving rapid response to combat.
However, efficient comprehensive evaluation methods, evaluation systems and evaluation standards for readiness integrity are not formed in China, the percentage of the working time of a computing system in the total task time is calculated by using more methods for calculating the availability at present, the actual state of the system is difficult to accurately reflect by the evaluation method, and the requirement of task guarantee of ship sailing in China cannot be met.
In conclusion, how to construct a combat readiness integrity assessment method that accurately reflects the actual state of the system is an urgent problem to be solved.
Disclosure of Invention
In view of the above, it is necessary to provide a combat readiness integrity assessment method based on a cooperative game, so as to solve the problem in the prior art of how to construct a combat readiness integrity assessment method that accurately reflects the actual state of the system.
The invention provides a combat readiness integrity assessment method based on a cooperative game, which comprises the following steps:
obtaining elements to be evaluated corresponding to a plurality of operating systems in a ship system;
obtaining element evaluation indexes of elements to be evaluated in a plurality of running systems in a ship;
respectively determining a first weight vector, a second weight vector and a third weight vector of the element evaluation index according to an analytic hierarchy process, an entropy weight method and a gray correlation method;
determining a combined weight of the component evaluation index according to the first weight vector, the second weight vector and the third weight vector by a cooperative game method;
correcting the combined weight according to a preset equalization coefficient, and determining the correction weight of the element evaluation index;
determining an element layer index of the element to be evaluated according to the correction weight of the element evaluation index;
and determining the system layer index of the operating system according to the element layer index of the element to be evaluated corresponding to the operating system.
Further, the plurality of operating systems include a combat and command system and an integrated power system.
Furthermore, the elements to be evaluated corresponding to the combat and command system comprise a radar element, a command platform element, a naval gun platform element and a missile platform element;
the elements to be evaluated corresponding to the comprehensive power system comprise a diesel engine element, a generator element, a frequency converter element and a motor element.
Further, the determining, by the cooperative gaming method, the combined weight of the component evaluation index according to the first weight vector, the second weight vector, and the third weight vector includes:
determining consistency correlation coefficients corresponding to the weight vectors according to the first weight vector, the second weight vector and the third weight vector corresponding to the element evaluation index;
and determining the combination weight corresponding to the element evaluation index according to the first weight vector, the second weight vector, the third weight vector and the consistency correlation coefficient corresponding to each weight vector.
Further, the correction weight is expressed as:
wherein the content of the first and second substances,
is that it isCorrection weight, w, of the i-th element evaluation index of the element to be evaluatediEvaluating the combined weight, x, of the index for the ith element of the element to be evaluatediAnd normalizing the ith element evaluation index of the element to be evaluated, wherein alpha is the equalization coefficient, j is an iteration coefficient, and n is the total number of the element evaluation indexes corresponding to the element to be evaluated.
Further, the determining the component layer index of the component to be evaluated according to the corrected weight of the component evaluation index includes:
and for each element to be evaluated, determining the element layer index of the element to be evaluated according to a plurality of corresponding element evaluation indexes and correction weights corresponding to the element evaluation indexes.
Further, the determining the system level index of the operating system according to the component level index of the component to be evaluated corresponding to the operating system includes:
and aiming at each running system, determining the system layer indexes of the running systems according to the corresponding multiple component layer indexes and the correction weights corresponding to the component layer indexes.
The invention also provides a combat readiness integrity assessment device based on cooperative game, which comprises:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring element evaluation indexes of elements to be evaluated in a plurality of running systems in a ship;
the processing unit is used for respectively determining a first weight vector, a second weight vector and a third weight vector of the element evaluation index according to an analytic hierarchy process, an entropy weight method and a gray correlation degree method; the combined weight of the component evaluation indexes is determined according to the first weight vector, the second weight vector and the third weight vector through a cooperative game method; the correction weight is used for correcting the combination weight according to a preset equalization coefficient, and the correction weight of the element evaluation index is determined;
the index determining unit is used for determining the element layer index of the element to be evaluated according to the correction weight of the element evaluation index; and determining the system layer index of the operating system according to the element layer index of the element to be evaluated corresponding to the operating system.
The invention also provides a combat readiness integrity assessment device based on the cooperative game, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program is executed by the processor to realize the combat readiness integrity assessment method based on the cooperative game.
The present invention also provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the combat readiness integrity assessment method based on cooperative game as described above.
Compared with the prior art, the invention has the beneficial effects that: firstly, constructing a comprehensive evaluation system from an element layer and a system layer based on elements to be evaluated corresponding to a plurality of operation systems in a ship system; then, determining various weights corresponding to the element to be evaluated by various weight distribution methods (an analytic hierarchy process, an entropy weight method and a gray correlation method) so as to combine the characteristics of the various weight distribution methods; furthermore, by a cooperative game method and a plurality of weight calculation methods, a plurality of weight distribution methods are participated, and the combined weight is effectively determined; then, the combined weight is corrected through a preset equalization coefficient, and the invalid weight is avoided; and finally, according to the correction weight, combining a plurality of element evaluation indexes, analyzing the indexes of the element layer to determine the performance operation condition of the element to be evaluated, further analyzing the indexes of the system layer through the indexes of the element layer to determine the fault condition of the operation system, ensuring that the fault point is quickly found out, comprehensively evaluating the whole ship from the element layer and the system layer, and efficiently determining the readiness integrity. In summary, the method combines a plurality of operating systems, utilizes a cooperative game method considering a plurality of calculation weights, effectively determines the corresponding combination weight of the element to be evaluated, ensures the accuracy of weight distribution, and continuously adjusts the weight by correcting the weight, comprehensively ensures the efficient construction of the evaluation system, so as to describe the capability of normal operation of equipment in the whole maritime mission period of the ship, and has great practical significance.
Drawings
Fig. 1 is a schematic flow chart of a combat readiness integrity assessment method based on cooperative game provided in the present invention;
FIG. 2 is a schematic flow chart of determining combining weights provided by the present invention;
FIG. 3 is a schematic flow chart of the present invention for analyzing fault conditions;
fig. 4 is a schematic structural diagram of a combat readiness integrity evaluation device of the cooperative game-based system provided by the present invention.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
Example 1
The embodiment of the invention provides a combat readiness integrity assessment method based on a cooperation game, and in combination with fig. 1, fig. 1 is a schematic flow chart of the combat readiness integrity assessment method based on the cooperation game provided by the invention, and the combat readiness integrity assessment method based on the cooperation game comprises steps S1 to S5, wherein:
in step S1, obtaining element evaluation indexes of elements to be evaluated in a plurality of operating systems in a ship;
in step S2, determining a first weight vector, a second weight vector, and a third weight vector of the element evaluation index according to an analytic hierarchy process, an entropy weight process, and a gray correlation process, respectively;
in step S3, determining a combined weight of the component evaluation index from the first weight vector, the second weight vector, and the third weight vector by the cooperative game method;
in step S4, the combination weight is corrected according to a preset equalization coefficient, and a correction weight of the element evaluation index is determined;
in step S5, determining an element layer index of the element to be evaluated according to the correction weight of the element evaluation index;
in step S6, a system level index of the operating system is determined according to the component level index of the component to be evaluated corresponding to the operating system.
In the embodiment of the invention, firstly, a comprehensive evaluation system is constructed from an element layer and a system layer based on elements to be evaluated corresponding to a plurality of operation systems in a ship system; then, determining various weights corresponding to the element to be evaluated by various weight distribution methods (an analytic hierarchy process, an entropy weight method and a gray correlation method) so as to combine the characteristics of the various weight distribution methods; furthermore, by a cooperative game method and a plurality of weight calculation methods, a plurality of weight distribution methods are participated, and the combined weight is effectively determined; then, the combined weight is corrected through a preset equalization coefficient, and the invalid weight is avoided; and finally, according to the correction weight, combining a plurality of element evaluation indexes, analyzing the indexes of the element layer to determine the performance operation condition of the element to be evaluated, further analyzing the indexes of the system layer through the indexes of the element layer to determine the fault condition of the operation system, ensuring that the fault point is quickly found out, comprehensively evaluating the whole ship from the element layer and the system layer, and efficiently determining the readiness integrity.
Preferably, the plurality of operation systems include a combat and command system and an integrated power system. Therefore, according to the mission profile, the integrity of the warship readiness under the air defense mission is mainly determined by the combat and command system (air) and the comprehensive power system, so that the corresponding elements are evaluated by combining the combat and command system and the comprehensive power system, thereby efficiently evaluating the combat system and comprehensively mastering the integrity of the readiness.
Preferably, the elements to be evaluated corresponding to the combat and command system comprise a radar element, a command platform element, a naval gun platform element and a missile platform element. Therefore, the combat system mainly comprises a radar system for realizing a detection sensing function, a command system for realizing a command decision function, and a naval gun system and a missile system for realizing a combat hitting function, so that the characteristic mechanism of the combat and command system is complex, the combat and command system needs to be comprehensively evaluated, and required data information is complicated.
Preferably, the elements to be evaluated corresponding to the integrated power system comprise a diesel engine element, a generator element, a frequency converter element and a motor element. Therefore, the comprehensive power system is mainly characterized in that the independent mechanical propulsion system of the traditional ship is combined with the ship power grid, the speed of the motor is controlled by the frequency converter to regulate the speed, and the mechanical gearbox is banned. The power generation module of the integrated power system generally consists of two diesel engines and two gas turbines, and when the air defense task is executed, a ship generally keeps low-speed navigation and only uses the diesel engines to generate power; the frequency converter and the propulsion motor form a propulsion module, and the frequency converter realizes the speed regulation of the propulsion motor by converting constant-voltage constant-frequency alternating current into variable-voltage variable-frequency alternating current. The propulsion motor directly drives the propeller, and in the ship integrated power system, except the mechanical connection between the propulsion motor and the propeller, other equipment can be connected through cables, so that the flexibility of the equipment arrangement of the integrated power system is improved, and therefore, the combat readiness state of the integrated power system is mainly reflected from four aspects of a diesel engine, a generator, a frequency converter and a motor.
It should be noted that the analytic hierarchy process mainly includes four steps for determining the weight:
step 1: and establishing a layered structure model. A model with a hierarchical structure is constructed by decomposing a complex system through a hierarchical analysis method, and the complex system can be generally divided into a system layer, an element layer and an index layer.
Step 2: and constructing judgment matrixes in different layers. And comparing every two factors by adopting a relative scale to grade the importance degree of each factor. The relative importance of each index of the subject is generally determined using the t.l.saaty1-9 scale, as shown in table 1. And comparing the indexes of the objects pairwise to form a judgment matrix R according to the scale values and meanings in the table 1. Judging R elements R of the matrixijThe meaning of (1) is the result of comparing the importance of the factor i and the factor j.
And step 3: hierarchical single ordering and consistency check thereof, wherein:
(1) calculating a consistency index CI
The consistency index CI is shown below:
in the formula, λmaxThe maximum eigenvalue of the matrix R is judged.
TABLE 1
(2) Finding a consistency index RI
The consistency index RI is used for measuring the size of the consistency index CI and eliminating the influence of matrix orders, the standard value of RI is given in Table 2, and n is an order in Table 2.
TABLE 2
(3) Calculating the checking coefficient CR
In order to check whether the consistency of the judgment matrix meets the requirement, CI needs to be compared with RI, and a check coefficient CR is calculated, as shown in the following formula:
and if CR is less than 0.1, the importance degree distribution of each index is considered to be reasonable, otherwise, the judgment matrix needs to be determined repeatedly until CR meets the condition.
(4) Calculating the checking coefficient CR
The weight vector for the ith object is shown as:
wherein the content of the first and second substances,
to belong to a characteristic value lambdamaxThe feature vector of (2).
It should be noted that the determination of the weight by the entropy weight method mainly includes three steps:
step 1: normalizing the data to obtain a data matrix X, wherein due to different dimensions of different index data, the original detection data needs to be normalized as shown in the following formula:
wherein x isij(k) ' kth detection data of jth index which is an ith evaluation object; x is the number ofaIs the limit value of the index, namely the worst value; x is the number ofbThe optimal value of the index is obtained; x is the number ofij(k) Is the normalized index value.
Step 2: calculating index information entropy
Calculating the information entropy of the jth index of the ith object as shown in the following formula:
it should be noted that the determination of the weight by the gray correlation method mainly includes three steps:
step 1: suppose a system has a series of influencing factors marked as XijAnd the detection data group with the serial number k is marked as Xij(k)，Xij＝(xij(1)，xij(2)，…，xij(k) Is called a system behavior sequence, and the normalized matrix x (k) ═ x is expressed by the following equationij(k)]And calculating an absolute difference:
Δij_ig(k)＝xij(k)-xig(k)|k＝12，...，K；i＝1，...，n；j，g＝1，2，...，mi；g≠j) (6)
step 2: constructing a relevance matrix, comprising:
(1) calculating xij(k) For xig(k) The correlation coefficient of (2) is shown as follows:
in the formula, ρ is a resolution coefficient, and is generally 0.5.
(2) Calculating xij(k) For xig(k) The correlation degree of (c) is shown by the following formula:
(3) constructing a matrix Z of relevance degreesiAs shown in the following formula:
and step 3: calculating a determined weight, comprising:
calculating the average value of j-th row elements in the correlation matrix and recording as gammaijThen, the gray relevance weight of the j index of the i element is shown as the following formula:
preferably, referring to fig. 2, fig. 2 is a schematic flowchart of determining combining weights provided by the present invention, and step S3 includes steps S31 to S32, where:
in step S31, determining a consistency correlation coefficient corresponding to each weight vector according to the first weight vector, the second weight vector and the third weight vector corresponding to the element evaluation index;
in step S32, a combination weight corresponding to the component evaluation index is determined based on the first, second, and third weight vectors and the consistency correlation coefficient corresponding to each weight vector.
Therefore, the method determines the effective consistency correlation coefficient through the first weight vector, the second weight vector and the third weight vector, and calculates the combined weight by using a game theory method under the uniform constraint force by combining the weight distribution methods, thereby reducing the operation complexity and ensuring the accuracy of the combined weight corresponding to the element evaluation index.
The invention is characterized in that the combat readiness integrity state of the ship system is evaluated, the index weight value close to the actual condition to the maximum extent is expected to be obtained, and the combined weight is calculated by using a game theory method under the uniform constraint force, so the method is called a cooperative game. The essence of the combined weight is to reasonably integrate the calculation results of different weight determination methods to obtain more accurate weight close to the actual condition, and the principle of the combined weight determination is to minimize the total evaluation error. In the problem of determining the combined weight, a plurality of weight calculation methods are participants of a game pattern, the sum of evaluation errors is a coalition result, the combined weight calculation aims to minimize the total evaluation error, the weight vector determines the contribution distribution of each single weight to the total error, and the mathematical description of a cooperative game model is as follows:
assuming that there are n objects to be evaluated, m evaluation methods. The evaluation method set is M ═ 1,2 Lambda LmRepresents the participants in the game pattern, and the evaluation value of the kth object is marked with x by the ith methodikThe linear average of the multiple evaluation methods is used as a reference, and the error of the ith evaluation method is eik＝xk-xikThe combined evaluation value can be expressed as a linear combination of evaluation values by a plurality of evaluation methods
Wherein, the sum of the squares of errors of the combined evaluation model is shown as follows:
order to
L＝(l1,l2Λlm)TThe formula (1) is simplified to J (M) ═ LTEL, L is a vector of weighting coefficients for the m evaluation methods.
The optimal combination evaluation model obtained by taking the minimum sum of squared errors as an optimization target is shown as the following formula:
in the formula, I is an identity matrix.
Further, j (m) is assigned to m participants according to their average contribution, the average contribution size being calculated as follows:
wherein v(s) is the inverse of J(s), i is the participant, s- | { i }: representing the federation except participant i, and v(s) -v (s- { i }) represents the contribution of participant i.
Further, the weighting coefficient L of the combined evaluation is obtained by the average contribution normalization process, as shown in the following formula:
in a specific embodiment of the present invention, 3 weight calculation methods (an analytic hierarchy process, an entropy weight method, and a gray correlation method) are used in the cooperative game, and the specific steps of combining weights are as follows:
step 1: calculating the combined weight of other 2 weight calculation methods according to the following formula (15);
step 2: calculating a consistency correlation coefficient Li according to the following formula (16);
and step 3: calculating a combining weight W as following equation (17);
preferably, the corresponding correction weights are expressed as:
wherein the content of the first and second substances,
evaluating the correction weight of the index for the ith element of the element to be evaluated, wiEvaluating the combined weight, x, of the index for the ith element of the element to be evaluatediThe method is a normalized value of the ith element evaluation index of an element to be evaluated, alpha is an equalization coefficient, j is an iteration coefficient, and n is the total number of the element evaluation indexes of the element to be evaluated.
It should be noted that the index weight is an objective embodiment of importance degree of each index or factor in the evaluation system to the evaluation object, and scientifically and reasonably determining the index weight has an extremely important meaning for the integrity evaluation of the battle preparation. At present, the more commonly used weight determination methods include an analytic hierarchy process, an entropy weight method, a gray correlation method, and the like. The types of weights can be largely classified into subjective weights, objective weights, and combination weights. The analytic hierarchy process belongs to a subjective weight determination method, and expert experience can be well introduced in the evaluation process; the entropy weight method and the gray relevance method calculate the weight based on measured index data, belong to a determination method of objective weight, but do not consider the intention of a decision maker in the calculation process, and result of some unreasonable results can occur. The combined weight can take the advantages of the two methods into account, so that the weight calculation result is more in line with the actual situation. The subjective weight, the objective weight and the combined weight are fixed weights, the weight is not changed along with the change of the index state, and when a certain evaluation index has larger deviation, the evaluation result is inaccurate because the weight is smaller and is not reflected in the evaluation result. The variable weight can continuously adjust the weight according to the change of the index state, and the defects can be solved.
Preferably, step S5 specifically includes: and determining the element layer indexes of the elements to be evaluated according to the corresponding element evaluation indexes and the correction weights corresponding to the element evaluation indexes aiming at each element to be evaluated. Therefore, for each element to be evaluated, the corresponding element evaluation indexes and the correction weights corresponding to the element evaluation indexes effectively form element layer indexes, and therefore the operation state corresponding to the element to be evaluated is evaluated. In a specific embodiment of the present invention, an element to be evaluated is a radar element, and its corresponding element evaluation indexes include a first element index, a second element index, a third element index, and a fourth element index, which form an element index matrix; the correction weight corresponding to each element evaluation index is calculated and determined through the steps, the correction weights are the first element correction weight, the second element correction weight, the third element correction weight and the fourth element correction weight, an element correction weight matrix is formed, and the element layer index can be effectively determined according to the product of the element index matrix and the element correction weight matrix.
Preferably, step S6 specifically includes: and aiming at each running system, determining the system layer indexes of the running system according to the corresponding multiple element layer indexes and the correction weights corresponding to the element layer indexes. Therefore, for each operating system, the corresponding multiple element layer indexes and the correction weights corresponding to the element layer indexes effectively form system layer indexes, and therefore the operating state corresponding to the operating system is evaluated. In a specific embodiment of the present invention, an operating system is an integrated power system, and the corresponding component layer indexes include a first component layer index, a second component layer index, a third component layer index, and a fourth component layer index (corresponding to the component layer indexes of a diesel component, a generator component, a converter component, and a motor component), which form a component layer index matrix; the correction weight corresponding to each element layer index is determined by calculation through the steps, the correction weights are the first element layer correction weight, the second element layer correction weight, the third element layer correction weight and the fourth element layer correction weight, an element layer correction weight matrix is formed, and the system layer index can be effectively determined according to the product of the element layer index matrix and the element layer correction weight matrix.
Preferably, referring to fig. 3, the schematic flowchart of fig. 3 for analyzing the fault condition provided by the present invention, the method for assessing readiness for combat integrity based on cooperative game further includes steps S71 to S72, wherein:
in step S71, determining an element layer index of the element to be evaluated according to a sum of products of the element evaluation index corresponding to the element to be evaluated and the correction weight corresponding to the element evaluation index, and analyzing a failure condition of the element to be evaluated according to the element layer index;
in step S72, the system index of the operating system is determined from the sum of the products of the element layer index corresponding to the operating system and the correction weight corresponding to the element layer index, and the failure condition of the operating system is analyzed from the system index.
Therefore, the correction evaluation index of the element to be evaluated is determined through the index and the correction weight corresponding to the element to be evaluated, the fault condition of the operating system is determined through the correction evaluation index, and effective determination of the fault condition is guaranteed.
In one embodiment of the invention, q represents the warfare and command system and f represents the integrated power system. And calculating the index weight of each level of the warship warfare system and the comprehensive power system by using an analytic hierarchy process, an entropy weight method, a gray correlation degree method and a combined game method. The weight vectors of the component layers (the components to be evaluated corresponding to the combat and command system and the integrated power system) are respectively recorded as
The system layer weight vectors are respectively recorded as
Taking the calculation of the radar system index weight as an example, a specific weight calculation example is given below. The data of the indexes detected by the radar elements in the combat and command system at three different time periods are shown in the following table.
TABLE 3
| Absolute difference | First index | Second index | Third index |
| Δ(q)l-2 | 0.1641 | 0.4872 | 0.2641 |
| Δ(q)l-3 | 0.1256 | 0.2552 | 0.0205 |
| Δ(q)l-4 | 0.0923 | 0.4585 | 0.2338 |
(1) Calculation of weights by analytic hierarchy process
The radar system index weight can be determined according to the basic steps of the analytic hierarchy process, and the importance degree of each index of the radar element is assigned through expert experience to obtain a judgment matrix Rq-1As shown in the following formula:
wherein, Rq-1 maximum eigenvalue λ max is 4.0104, the calculated consistency parameter CI is 0.0035, the calculated check coefficient CR is 0.0039 < 0.1, the judgment matrix meets the requirement, and the normalized eigenvector corresponding to λ max is the ship radar system weight vector based on the analytic hierarchy process as shown in the following formula:
(2) calculating weights by entropy weight method
Determining index information entropy E of radar systemq-1＝[0.9858,0.9995,0.997,0.9986]The method comprises determining an entropy weight method-based radar index weight vector as
(3) Calculating weight by grey correlation method
Firstly, the absolute difference number sequence of the radar index is calculated and is shown in the following table 2; then, an absolute difference number list (shown in table 2) is calculated, and the correlation coefficient of the radar index is obtained through calculation and is shown in table 3 below; finally, the correlation coefficient table (shown in table 3) is used to determine the correlation of the radar index, as shown in table 4 below.
TABLE 4
| Absolute difference | First index | Second index | Third index |
| Δ(q)l-2 | 0.1641 | 0.4872 | 0.2641 |
| Δ(q)l-3 | 0.1256 | 0.2552 | 0.0205 |
| Δ(q)l-4 | 0.0923 | 0.4585 | 0.2338 |
TABLE 5
TABLE 6
| Degree of association | Relevance value |
| γ(q)l-2 | 0.5098 |
| γ(q)l-3 | 0.7483 |
| γ(q)l-4 | 0.5719 |
Further, according to the steps, the relevance between every two radar indexes is calculated to obtain a relevance matrix Zq1As shown in the following formula:
the average value of each row element in Zq1 is obtained as
The obtained radar index weight vector based on the grey correlation method is as follows:
(4) cooperative game method for calculating combined weight
Calculating the combination weight of the radar system according to the step of obtaining the combination weight by the cooperative game method
(5) Modifying combining weights
Using the average value of the normalized data to determine the weight of the corrected combination to obtain the corrected weight of the radar system
According to the above calculation process, the calculation results of the radar element, the command platform element, the naval gun platform element and the missile platform element in the operational and command system are respectively shown in tables 5 to 8, and the calculation results of the operational and command system are shown in table 9, wherein:
TABLE 7
TABLE 8
TABLE 9
Watch 10
TABLE 11
Similarly, the results of calculating the index weights of the diesel engine element, the generator element, the inverter element, and the motor element in the integrated power system in the element layer are shown in tables 10 to 13, and the index weights of the system layer are shown in table 14.
TABLE 12
Watch 13
TABLE 14
Watch 15
TABLE 16
Example 2
An embodiment of the present invention provides a combat readiness integrity assessment device based on a cooperative game, and referring to fig. 4, fig. 4 is a schematic structural diagram of the combat readiness integrity assessment device based on the cooperative game provided in the present invention, wherein the combat readiness integrity assessment device 400 based on the cooperative game includes:
an obtaining unit 401, configured to obtain element evaluation indexes of elements to be evaluated in multiple operating systems in a ship;
a processing unit 402, configured to determine a first weight vector, a second weight vector, and a third weight vector of the element evaluation index according to an analytic hierarchy process, an entropy weight method, and a gray relevance method, respectively; the cooperative game method is also used for determining the combined weight of the component evaluation index according to the first weight vector, the second weight vector and the third weight vector; the device is also used for correcting the combined weight according to a preset equalization coefficient and determining the correction weight of the element evaluation index;
an index determining unit 403, configured to determine an element layer index of the element to be evaluated according to the correction weight of the element evaluation index; and determining the system layer index of the operating system according to the element layer index of the element to be evaluated corresponding to the operating system.
Example 3
The embodiment of the invention provides a combat readiness integrity assessment device based on a cooperative game, which comprises a processor and a memory, wherein the memory is stored with a computer program, and when the computer program is executed by the processor, the combat readiness integrity assessment method based on the cooperative game is realized.
Example 4
The embodiment of the invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for evaluating the readiness integrity based on the cooperative game is implemented.
The invention discloses a combat readiness integrity evaluation method and a combat readiness integrity evaluation device based on a cooperative game, wherein in the method, firstly, a comprehensive evaluation system is constructed from an element layer and a system layer based on elements to be evaluated corresponding to a plurality of running systems in a ship system; then, determining various weights corresponding to the element to be evaluated by various weight distribution methods (an analytic hierarchy process, an entropy weight method and a gray correlation method) so as to combine the characteristics of the various weight distribution methods; furthermore, by a cooperative game method and a plurality of weight calculation methods, a plurality of weight distribution methods are participated, and the combined weight is effectively determined; then, the combined weight is corrected through a preset equalization coefficient, and the invalid weight is avoided; and finally, according to the correction weight, combining a plurality of element evaluation indexes, analyzing the indexes of the element layer to determine the performance operation condition of the element to be evaluated, further analyzing the indexes of the system layer through the indexes of the element layer to determine the fault condition of the operation system, ensuring that the fault point is quickly found out, comprehensively evaluating the whole ship from the element layer and the system layer, and efficiently determining the readiness integrity.
According to the technical scheme, the method is combined with a plurality of operating systems, the method for taking the cooperative game into consideration of a plurality of calculation weights is utilized, the corresponding combination weight of the element to be evaluated is effectively determined, the accuracy of weight distribution is ensured, the weight is continuously adjusted through correcting the weight, the efficient construction of the evaluation system is comprehensively ensured, the capability of normal work of equipment of the ship in the whole maritime mission period is described, and the method has great practical significance.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. A combat readiness integrity assessment method based on cooperative game is characterized by comprising the following steps:
obtaining element evaluation indexes of elements to be evaluated in a plurality of running systems in a ship;
respectively determining a first weight vector, a second weight vector and a third weight vector of the element evaluation index according to an analytic hierarchy process, an entropy weight method and a gray correlation method;
determining a combined weight of the component evaluation index according to the first weight vector, the second weight vector and the third weight vector by a cooperative game method;
correcting the combined weight according to a preset equalization coefficient, and determining the correction weight of the element evaluation index;
determining an element layer index of the element to be evaluated according to the correction weight of the element evaluation index;
and determining the system layer index of the operating system according to the element layer index of the element to be evaluated corresponding to the operating system.
2. The method of claim 1, wherein the plurality of operating systems comprise a combat and command system and an integrated power system.
3. The combat readiness integrity assessment method based on cooperative game as claimed in claim 2, wherein the elements to be assessed corresponding to the combat and command system comprise a radar element, a command platform element, a naval gun platform element and a missile platform element;
the elements to be evaluated corresponding to the comprehensive power system comprise a diesel engine element, a generator element, a frequency converter element and a motor element.
4. The method of claim 3, wherein determining the combined weight of the component evaluation index according to the first weight vector, the second weight vector, and the third weight vector by the cooperative game method comprises:
determining consistency correlation coefficients corresponding to the weight vectors according to the first weight vector, the second weight vector and the third weight vector corresponding to the element evaluation index;
and determining the combination weight corresponding to the element evaluation index according to the first weight vector, the second weight vector, the third weight vector and the consistency correlation coefficient corresponding to each weight vector.
5. The method of claim 4, wherein the correction weight is expressed as:
wherein the content of the first and second substances,
evaluating the correction weight of the index for the ith element of the element to be evaluated, wiEvaluating the combined weight, x, of the index for the ith element of the element to be evaluatediAnd normalizing the ith element evaluation index of the element to be evaluated, wherein alpha is the equalization coefficient, j is an iteration coefficient, and n is the total number of the element evaluation indexes corresponding to the element to be evaluated.
6. The method for assessing readiness for combat based on a cooperative game as claimed in any one of claims 1-5, wherein the determining the component level indicator of the component to be assessed based on the modified weight of the component assessment indicator comprises:
and for each element to be evaluated, determining the element layer index of the element to be evaluated according to a plurality of corresponding element evaluation indexes and correction weights corresponding to the element evaluation indexes.
7. The method for assessing readiness integrity based on a cooperative game as recited in any of claims 1-5, wherein the determining a system level indicator of the operating system based on a component level indicator of the component to be assessed corresponding to the operating system comprises:
and aiming at each running system, determining the system layer indexes of the running systems according to the corresponding multiple component layer indexes and the correction weights corresponding to the component layer indexes.
8. A combat readiness integrity assessment apparatus based on cooperative gaming, comprising:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring element evaluation indexes of elements to be evaluated in a plurality of running systems in a ship;
the processing unit is used for respectively determining a first weight vector, a second weight vector and a third weight vector of the element evaluation index according to an analytic hierarchy process, an entropy weight method and a gray correlation degree method; the combined weight of the component evaluation indexes is determined according to the first weight vector, the second weight vector and the third weight vector through a cooperative game method; the correction weight is used for correcting the combination weight according to a preset equalization coefficient, and the correction weight of the element evaluation index is determined;
the index determining unit is used for determining the element layer index of the element to be evaluated according to the correction weight of the element evaluation index; and determining the system layer index of the operating system according to the element layer index of the element to be evaluated corresponding to the operating system.
9. A combat readiness integrity assessment apparatus based on a cooperative game, comprising a processor and a memory, the memory having stored thereon a computer program, which, when executed by the processor, implements the combat readiness integrity assessment method based on a cooperative game as claimed in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for assessing readiness integrity based on a cooperative game as recited in any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113779778A (en) * | 2021-08-24 | 2021-12-10 | 中国舰船研究设计中心 | Method for optimizing task channel test points of ship system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108108875A (en) * | 2017-11-29 | 2018-06-01 | 国家电网公司 | A kind of distribution Running State fuzzy synthetic appraisement method based on cooperative game method and trapezoidal cloud model |
| CN109740953A (en) * | 2019-01-09 | 2019-05-10 | 华北电力大学（保定） | A kind of real-time status appraisal procedure of Wind turbines |
| CN110490422A (en) * | 2019-07-22 | 2019-11-22 | 中北大学 | A kind of target fighting efficiency method for situation assessment based on game cloud model |
-
2020
- 2020-12-23 CN CN202011535511.5A patent/CN113159477A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108108875A (en) * | 2017-11-29 | 2018-06-01 | 国家电网公司 | A kind of distribution Running State fuzzy synthetic appraisement method based on cooperative game method and trapezoidal cloud model |
| CN109740953A (en) * | 2019-01-09 | 2019-05-10 | 华北电力大学（保定） | A kind of real-time status appraisal procedure of Wind turbines |
| CN110490422A (en) * | 2019-07-22 | 2019-11-22 | 中北大学 | A kind of target fighting efficiency method for situation assessment based on game cloud model |
Non-Patent Citations (1)
| Title |
|---|
| 赵峰等: "动车组辅助供电系统健康状态评估", 《铁道科学与工程学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113779778A (en) * | 2021-08-24 | 2021-12-10 | 中国舰船研究设计中心 | Method for optimizing task channel test points of ship system |
| CN113779778B (en) * | 2021-08-24 | 2024-04-05 | 中国舰船研究设计中心 | Ship system task channel test point optimization method |
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