CN106022631B - Index weight analysis method - Google Patents
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Abstract
The embodiment of the invention discloses an index weight analysis method, relates to the technical field of electronic information, and can improve the efficiency of comprehensively evaluating the man-machine work efficiency design of an airplane cockpit. The invention comprises the following steps: an index weight analysis system, comprising: the system comprises an index system management module, an evaluation criterion management module, a weight algorithm management module and a database communication module. Generating a human-machine ergonomics evaluation index system through an index system management module, wherein the index system management module is also used for storing, loading and exporting the generated human-machine ergonomics evaluation index system; inputting and storing evaluation criteria through an evaluation criteria management module, wherein the evaluation criteria are used for determining index weight; calling an objective weighting algorithm through a weight algorithm management module, and determining index weight through the called objective weighting algorithm; and uploading the index weight determined by the database communication module to a server for storage. The invention is suitable for comprehensive evaluation of man-machine work efficiency design of the cockpit.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to an index weight analysis method.
Background
In an important link of man-machine work efficiency comprehensive evaluation of an aircraft cockpit, work efficiency evaluation index weights need to be determined according to different evaluation environments. The final work efficiency design evaluation result can be obtained mainly by weighting and scoring work efficiency evaluation indexes and then by a specific comprehensive evaluation model.
The existing determination methods of the evaluation index weight coefficient can be divided into two categories, one is that the weight is determined by a qualitative method based on a function driving principle, and then dimensionless data is integrated, so that the implementation is convenient, but more qualitative components are available, and the accuracy of the weight result is limited; and secondly, weighting based on a difference driving principle, namely determining the weight according to the correlation among the indexes or the difference degree of the index values, so that the obtained weight value is accurate and reliable, the implementation steps are complex, technicians are often required to frequently adjust the execution program according to different evaluation environments and experimental links, and much time and energy are consumed.
Disclosure of Invention
The embodiment of the invention provides an index weight analysis method which can improve the efficiency of comprehensively evaluating the man-machine work efficiency design of an aircraft cockpit.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
an index weight analysis system, the index weight analysis system comprising: the system comprises an index system management module, an evaluation criterion management module, a weight algorithm management module and a database communication module. The method based on the index weight analysis system comprises the following steps: generating a human-machine ergonomics evaluation index system through the index system management module, wherein the index system management module is also used for storing, loading and exporting the generated human-machine ergonomics evaluation index system; inputting and storing evaluation criteria through the evaluation criteria management module, wherein the evaluation criteria are used for determining index weight; calling an objective weighting algorithm through the weight algorithm management module, and determining index weight through the called objective weighting algorithm, wherein the objective weighting algorithm comprises the following steps: an expert evaluation method, a judgment matrix analysis method, a characteristic value method and an entropy value method; and uploading the index weight determined by the database communication module to a server for storage.
The index weight analysis method provided by the embodiment of the invention realizes the integration of a subjective weighting method and an objective weighting method, improves the efficiency of determining the index weight, and improves the flexibility of selecting the weighting method according to different accuracy and complexity requirements; the realization of a computer software algorithm in the evaluation index weighting process is realized, the automation degree of determining the index weight is improved, the manpower and material resources for processing a large amount of data are reduced, and the cost for carrying out subsequent engineering application is greatly reduced; and the man-machine interaction degree of the index empowerment process and the visualization degree of data are improved, so that an operator can conveniently and immediately take modification measures as required, and the efficiency of comprehensively evaluating the man-machine work efficiency design of the aircraft cockpit is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;
FIG. 2 is a flowchart of an expert evaluation weighting algorithm provided in an embodiment of the present invention;
FIG. 3 is a flowchart of a decision matrix analysis algorithm according to an embodiment of the present invention;
FIG. 4 is a flow chart of a eigenvalue method algorithm provided by an embodiment of the present invention;
FIG. 5 is a flow chart of an entropy algorithm provided by an embodiment of the invention;
fig. 6 is a schematic diagram of an example of a software interface layout provided in the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or coupled. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
An embodiment of the present invention provides an index weight analysis method, which is used in an index weight analysis system shown in fig. 1, where the index weight analysis system includes: the system comprises an index system management module, an evaluation criterion management module, a weight algorithm management module and a database communication module. The index system management module can construct, store, load and export an artificial efficiency evaluation index system; the evaluation criterion management module is used for managing reference data in the process of determining the index weight and can perform input and storage operation on the evaluation criterion; the weight algorithm management module is used for calling four subjective and objective weighting methods, namely an expert evaluation method, a judgment matrix analysis method, a characteristic value method and an entropy value method, to determine index weights so as to realize the functions of inputting algorithm parameters and storing and loading parameter files; the database communication module provides a function of data exchange between the software and the database system server, and can upload the calculation result of the index weight to the server for storage.
The method includes a general flow of S1-S4, wherein:
and S1, generating an ergonomic evaluation index system through the index system management module, wherein the index system management module is also used for storing, loading and exporting the generated ergonomic evaluation index system.
In the embodiment, a man-machine ergonomics evaluation index system is established by an index system management module by starting from a man-machine ergonomics evaluation task of an aircraft cockpit and combining man-machine ergonomics design influence factors.
Specifically, the manner of generating the human-machine ergonomics evaluation index system includes:
and reading an evaluation task of the human-computer work efficiency of the airplane cockpit through the index system management module, and acquiring influence factor data of human-computer work efficiency design. And establishing a man-machine work efficiency evaluation index system according to the evaluation task and the influence factor data.
And S2, inputting and storing evaluation criteria through the evaluation criteria management module, wherein the evaluation criteria are used for determining index weight.
S3, calling an objective weighting algorithm through the weight algorithm management module, and determining index weight through the called objective weighting algorithm, wherein the objective weighting algorithm comprises: an expert evaluation method, a judgment matrix analysis method, a characteristic value method and an entropy value method.
Specifically, according to the property characteristics of the indexes, a proper weighting method is selected from an expert evaluation method, a judgment matrix analysis method, a characteristic value method and an entropy value method, and the required evaluation data is written into a Microsoft Excel file according to the regulation of relevant evaluation criteria and the data format requirements of the weighting method. For indexes on the same level, filling parameter information in a weight algorithm management module, loading a data file, calling a weight algorithm, finally calculating the weight value of the index on the level, and repeating the steps to obtain the weight value of the index on the high level.
And S4, uploading the index weight determined by the database communication module to a server for storage.
The integration of a subjective weighting method and an objective weighting method is realized, the efficiency of determining the index weight is improved, and the flexibility of selecting the weighting method according to different accuracy and complexity requirements is improved; the realization of a computer software algorithm in the evaluation index weighting process is realized, the automation degree of determining the index weight is improved, the manpower and material resources for processing a large amount of data are reduced, and the cost for carrying out subsequent engineering application is greatly reduced; and the man-machine interaction degree of the index empowerment process and the visualization degree of data are improved, so that an operator can conveniently and immediately take modification measures as required, and the efficiency of comprehensively evaluating the man-machine work efficiency design of the aircraft cockpit is improved.
The true bookIn an embodiment, the expert evaluation method comprises: according to the evaluation index set U ═ U1,u2,…,unAnd acquiring personal judgment values of n index weights by m experts, wherein the personal judgment values of the n index weights by the m experts are recorded by the weight algorithm management module. Then according toObtaining the weighted value of the jth index, wherein wijJudgment value of j index weight for i expert, wjIs the weighted value of the j index.
Specifically, as shown in fig. 2, for the expert evaluation method, the weight algorithm management module is configured to set U ═ U { U } according to the evaluation index set1,u2,…,unObtaining personal judgment values of n index weights by m experts, taking the average value of the index weights evaluated by the experts as the index weight, and adopting the calculation formula as follows:in the formula, wijJudgment value of j index weight for i expert, wjIs the weighted value of the j index.
In this embodiment, the judgment matrix analysis method includes: by passingObtaining index weight, wherein i is the number of evaluation indexes, AiScaling the geometric mean, w, of each row in the matrix for significanceiIs the index weight.
Specifically, as shown in fig. 3, when determining the index weight by using the judgment matrix analysis method, the weight algorithm management module determines the relative importance degree between each index, compares the indexes pairwise and assigns values according to a predetermined importance scale to form an importance scale matrix. After the importance scale matrix is normalized, the calculation formula of the weight is as follows:wherein i is the number of evaluation indexes，AiScaling the geometric mean, w, of each row in the matrix for significanceiIs the index weight.
In this embodiment, the characteristic value method includes: maximum eigenvalue lambda of acquisition matrixmaxAnd detecting whether the index weight is reasonable, wherein the reasonable index weight satisfiesRI is an associated value of the total number of indices n. And screening to obtain reasonable index weight.
Specifically, as shown in fig. 4, the determination of the index weight by using the eigenvalue method needs to be established on the basis of the judgment of the matrix analysis method, and the weight algorithm management module determines the maximum eigenvalue λ of the matrixmaxAnd checking the reasonableness of the index weight determined by the judgment matrix. When the consistency ratioThen, where RI is a value related to the total number n of indicators, it is considered that the consistency of the determination matrix is acceptable, and the calculated result may be used as the weight value of the indicator.
In this embodiment, the entropy method includes:
obtaining the evaluation data of m to-be-evaluated factors under n evaluation indexes, and generating a judgment matrix xijWherein i is 1,2, …, m; j is 1,2, …, n; x is the number ofijThe evaluation value of the factor i to be evaluated under the evaluation index j is shown.
And according toObtaining an index weight, wherein pijIs the specific gravity of the evaluation value of the ith factor to be evaluated under the jth evaluation index, wjIs the index weight.
Specifically, as shown in fig. 5, the entropy method is used to determine the evaluation index weight, that is, the evaluation data of m to-be-evaluated factors under n evaluation indexes are used as the initial judgment matrix to form a judgment matrix xijWherein i is 1,2, …, m; j is 1,2, …, n; x is the number ofijTo treat under the evaluation index jThe evaluation value of factor i. The weight algorithm management module calculates the index weight according to the calculation method of the entropy, and the calculation formula is as follows:in the formula, pijIs the specific gravity of the evaluation value of the ith factor to be evaluated under the jth evaluation index, wjIs the index weight.
Further, the system may adopt Microsoft Visual C + + design, adopt MFC multiple document view framework model, and construct a software interface for determining the indexing weight as shown in fig. 6 after the subjective and objective weighting method is implemented in computer language. And in the weighting algorithm selection interface, selecting a proper subjective and objective weighting algorithm according to the characteristics of the evaluation indexes, and constructing a corresponding data file according to the regulations of the related evaluation criteria and the data format requirements of the weighting method. And then, loading a data file and filling parameter information in an information display interface in sequence, and calculating the weight value of the index. Therefore, process visualization and man-machine interaction for determining the index weight are realized.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The above description is only for the specific 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. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. An index weight analysis method used in an index weight analysis system, the index weight analysis system comprising: the system comprises an index system management module, an evaluation criterion management module, a weight algorithm management module and a database communication module, wherein the method comprises the following steps:
generating a human-machine ergonomics evaluation index system through the index system management module, wherein the index system management module is also used for storing, loading and exporting the generated human-machine ergonomics evaluation index system;
inputting and storing evaluation criteria through the evaluation criteria management module, wherein the evaluation criteria are used for determining index weight;
calling an objective weighting algorithm through the weight algorithm management module, and determining index weight through the called objective weighting algorithm, wherein the objective weighting algorithm comprises the following steps: an expert evaluation method, a judgment matrix analysis method, a characteristic value method and an entropy value method;
uploading the determined index weight to a server side through the database communication module for storage;
the human-machine efficiency evaluation index system is constructed, stored, loaded and exported by the index system management module;
the evaluation criterion management module is used for managing reference data in the process of determining the index weight and performing input and storage operation on the evaluation criterion;
the weight algorithm management module is used for calling four subjective and objective weighting algorithms including an expert evaluation method, a judgment matrix analysis method, a characteristic value method and an entropy value method to determine index weights, and realizing the functions of inputting algorithm parameters and storing and loading parameter files;
the database communication module provides a function of data exchange between software and a database system server, and uploads a calculation result of the index weight to a server side for storage;
the index weight analysis system is designed by adopting Microsoft Visual C + +, an MFC multi-document view framework model is adopted, and after the subjective and objective weighting algorithm is realized by using a computer language, a software interface for determining the index weight is constructed;
in the weighting algorithm selection interface, selecting a proper subjective and objective weighting algorithm according to the characteristics of the evaluation indexes, and constructing a corresponding data file according to the regulations of relevant evaluation criteria and the data format requirements of the weighting algorithm;
and then, loading a data file and filling parameter information in an information display interface in sequence to calculate the weight value of the index, thereby realizing the visualization and man-machine interaction of the process of determining the weight of the index.
2. The method of claim 1, wherein generating an ergonomic index system comprises:
reading an evaluation task of the human-computer work efficiency of the airplane cockpit through the index system management module, and acquiring influence factor data of human-computer work efficiency design;
and establishing a man-machine work efficiency evaluation index system according to the evaluation task and the influence factor data.
3. The method according to claim 1 or 2, wherein the decision matrix analysis method comprises: by passingObtaining index weight, wherein i is the serial number of the evaluation index, AiScaling the geometric mean, w, of each row in the matrix for significanceiIs the index weight.
4. The method of claim 3, wherein the eigenvalue method comprises: maximum eigenvalue lambda of acquisition matrixmaxAnd detecting whether the index weight is reasonable, wherein the reasonable index weight satisfiesRI is a correlation value of the total number n of indexes; and screening to obtain reasonable index weight.
5. A method according to claim 1 or 2, characterized in that the entropy method comprises:
obtaining the evaluation data of m to-be-evaluated factors under n evaluation indexes, and generating a judgment matrix xijWherein i is 1,2, …, m; j is 1,2, …, n, xijThe evaluation value of the factor i to be evaluated under the evaluation index j;
and according toObtaining an index weight, wherein pijIs the specific gravity of the evaluation value of the ith factor to be evaluated under the jth evaluation index, wjIs the index weight.
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| CN106570633A (en) * | 2016-11-04 | 2017-04-19 | 中软信息系统工程有限公司 | Index system evaluation method based on weight design |
| US10677686B2 (en) * | 2017-11-14 | 2020-06-09 | GM Global Technology Operations LLC | Method and apparatus for autonomous system performance and grading |
| CN108510166A (en) * | 2018-03-16 | 2018-09-07 | 中国兵器工业第五九研究所 | A kind of coating protection performance comprehensive evaluation method, equipment |
| CN111887803B (en) * | 2020-08-13 | 2024-01-26 | 上海交通大学 | Multi-dimensional monitoring and evaluating system for artificial efficiency of aircraft cockpit |
| CN113743811A (en) * | 2021-09-10 | 2021-12-03 | 上海卫星工程研究所 | Comprehensive efficiency evaluation method and system adopting coefficient weighting calculation |
| CN114219220B (en) * | 2021-11-18 | 2022-12-09 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Human-machine ergonomics assessment method, system, computer device and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102087675A (en) * | 2010-06-29 | 2011-06-08 | 北京航空航天大学 | Flight simulation system with design and test functions of information display interface |
| CN102999792A (en) * | 2012-12-20 | 2013-03-27 | 诸暨市供电局 | Method for comprehensive evaluation of power distribution network optimization allocation |
-
2016
- 2016-05-30 CN CN201610369646.6A patent/CN106022631B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102087675A (en) * | 2010-06-29 | 2011-06-08 | 北京航空航天大学 | Flight simulation system with design and test functions of information display interface |
| CN102999792A (en) * | 2012-12-20 | 2013-03-27 | 诸暨市供电局 | Method for comprehensive evaluation of power distribution network optimization allocation |
Non-Patent Citations (3)
| Title |
|---|
| 基于专家打分的多源可靠性数据融合方法;何江等;《飞机设计》;20120630;第32卷(第3期);全文 * |
| 基于模糊理论的直升机驾驶舱人机工效综合评价研究;洪永军等;《直升机技术》;20141231(第2期);全文 * |
| 民机驾驶舱人机工效设计准则框架体系构建;钮松等;《飞机设计》;20140228;第34卷(第1期);全文 * |
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