CN116662775A - Sequence relation analysis method for improving investigation mode - Google Patents
Sequence relation analysis method for improving investigation mode Download PDFInfo
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- CN116662775A CN116662775A CN202310676474.7A CN202310676474A CN116662775A CN 116662775 A CN116662775 A CN 116662775A CN 202310676474 A CN202310676474 A CN 202310676474A CN 116662775 A CN116662775 A CN 116662775A
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- 238000011835 investigation Methods 0.000 title claims abstract description 58
- 238000004458 analytical method Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 32
- 230000002265 prevention Effects 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 4
- 238000012300 Sequence Analysis Methods 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims description 2
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
- G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a sequence relation analysis method for improving an investigation mode, which is used for giving weight to related indexes. The method mainly comprises pain points of the sequence relation analysis method during expert investigation, advantages of improving the investigation mode, overall mathematical expression of the sequence relation analysis method of improving the investigation mode, and investigation examples of the sequence relation analysis method of improving the investigation mode. The method is used for improving the situation that the relative importance is complicated when the index is more in the order relation analysis method. According to the method, the original expert workload is calculated and borne by more tasks through the change of the investigation mode.
Description
Technical Field
The invention relates to the technical field of analysis of index weighting methods, in particular to a sequence relation analysis method for improving an investigation mode.
Background
Sequential relational analysis provides a systematic way to determine the priority and importance between different factors, which helps to better understand the relationships between them. It may help determine which factors are most important for achieving a particular objective or solving a particular problem and may prioritize them.
However, using order analysis to calculate the index weights to determine the priority and importance between different factors requires reliance on expert subjective judgment. Therefore, when the expert opinion is investigated, if the process is complicated, the workload is large, and the investigated data may be influenced.
However, by using the order relation analysis method, an expert is required to determine the sequence among the indexes and then give the relative importance among the indexes, and if the indexes are too many, the process consumes great efforts of the expert. Therefore, there is a need for improved ways of expert investigation of sequential relational analysis, with more tasks being undertaken by the computation.
Disclosure of Invention
The invention aims to improve the situation that the relative importance is complicated when indexes are more in order relation analysis method.
The invention aims at realizing the following technical scheme:
a sequence analysis method for improving an investigation manner, the method comprising:
step 1, pain points of sequence relation analysis method in expert investigation
Step 2, improving the advantage of the investigation mode
Step 3, sequence relation analysis method integral mathematical expression for improving investigation mode
Step 4, an investigation example of a sequential relation analysis method for improving an investigation mode
According to the technical scheme provided by the invention, the method is simple in calculation, the workload of the researched expert can be simplified, the relative importance is obtained through arrangement and conversion, and the method has a very high practical value.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram provided in an embodiment of the present invention.
The specific embodiment is as follows:
the following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The following will describe embodiments of the present invention in further detail with reference to the accompanying drawings, and as shown in fig. 1, the method includes:
step 1, pain points of the sequence relation analysis method during expert investigation;
the specific process in the step 1 is as follows;
the common order relation method requires an expert to order all indexes first; and then according to the sequence, giving the relative importance of the indexes.
When the indexes are too many, the expert is consumed to pay great effort in the first sorting, and then the relative importance among the indexes is troublesome to be given one by one according to the index sorting.
Step 2, improving the advantage of the investigation mode
The specific process in the step 2 is as follows;
and directly scoring the index importance by the expert. In the investigation, the expert does not need to rank and give the relative importance. The method is equivalent to transferring the workload of the expert to the calculation, and reduces the investigation difficulty.
Thus, the importance is determined according to the index. Firstly, ordering indexes according to importance degree; and then converted into relative importance according to a certain proportion. (wherein, by investigation, the percentile score may be converted as follows)
r k ＝1+(X j k-1 -X j k )×N
Note that: r is (r) k The value interval of (2) should be 1-1.8, so n=0.04. X is X j k A kth evaluation index determined for a jth expert.
Step 3, sequence relation analysis method integral mathematical expression for improving investigation mode
The specific process in the step 3 is as follows;
(1) Order relation determined by the j th expert:
X j 1 ＞X j 2 ＞…X j k
note that: determining index importance degree, X j k A kth evaluation index determined for a jth expert.
(2) Relative importance determined by expert j:
r k ＝1+(X j k-1 -X j k )×N
note that: r is (r) k The value interval of (2) should be 1-1.8. In combination with the importance score, n=0.04
(3) Weight determined by the j-th expert:
note that: there are m indices.
(4) Integrating expert opinion:
note that: there are n experts.
Step 4, an investigation example of a sequential relation analysis method for improving an investigation mode
The specific process in the step 4 is as follows;
in substations of an electrical power system, it is necessary to analyze the influence of factors on their cooperativity, provided that the following index weights are given by means of a sequence relation analysis method:
main station and sub station cooperative error prevention, main station and sub station cooperative control, main station and sub station fault investigation, main station and sub station functional support, cross-region fire service, cross-region security service, cross-region ring service and cross-region video linkage
(1) Traditional sequence relation analysis method
First, the importance order of each index needs to be determined by investigation. 10 experts were invited to participate in the investigation. Such as:
expert 1: main station and sub station cooperative error prevention > main station and sub station cooperative control > main station and sub station fault investigation > main station and sub station functional support > cross-region fire service > cross-region security service > cross-region ring service > cross-region video linkage
…
Expert 10: main station and sub station cooperative error prevention > main station and sub station cooperative control > main station and sub station fault investigation > cross-region security service > cross-region video linkage > main station and sub station functional support > cross-region ring service > cross-region fire service
And then, each expert gives the relative importance among indexes according to own sequencing, as shown in the table 1:
table 1 table of relative importance of indexes
(2) Sequence relation analysis method for improving investigation mode
Directly taking percentage system to investigate the importance of the index. As in table 2:
table 2 index importance investigation table
Therefore, the order relation analysis method for improving the investigation mode can reduce the workload of experts during investigation, and has more operability in data collection.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (5)
1. A sequence analysis method for improving an investigation mode, the method comprising:
step 1, pain points of sequence relation analysis method in expert investigation
Step 2, improving the advantage of the investigation mode
Step 3, sequence relation analysis method integral mathematical expression for improving investigation mode
And 4, improving an investigation example of a sequence relation analysis method of an investigation mode.
2. The method according to claim 1, wherein in the step 1, the pain points of the method in the expert investigation are:
the common order relation method requires an expert to order all indexes first; and then according to the sequence, giving the relative importance of the indexes.
When the indexes are too many, the expert is consumed to pay great effort in the first sorting, and then the relative importance among the indexes is troublesome to be given one by one according to the index sorting.
3. The method for analyzing the sequence relation of the improved investigation method according to claim 1, wherein in the step 2, the improved investigation method has the following advantages:
and directly scoring the index importance by the expert. In the investigation, the expert does not need to rank and give the relative importance. The method is equivalent to transferring the workload of the expert to the calculation, and reduces the investigation difficulty.
Thus, the importance is determined according to the index. Firstly, ordering indexes according to importance degree; and then converted into relative importance according to a certain proportion. (wherein, by investigation, the percentile score may be converted as follows)
r k ＝1+(X j k-1 -X j k )×N
Note that: r is (r) k The value interval of (2) should be 1-1.8, so n=0.04. X is X j k A kth evaluation index determined for a jth expert.
4. The method for analyzing the sequence relation of the improved investigation mode according to claim 1, wherein in the step 3, the whole mathematical expression specific process of the sequence relation analysis method of the improved investigation mode is as follows:
(1) Order relation determined by the j th expert:
X j 1 ＞X j 2 ＞…X j k
note that: determining index importance degree, X j k A kth evaluation index determined for a jth expert.
(2) Relative importance determined by expert j:
r k ＝1+(X j k-1 -X j k )×N
note that: r is (r) k The value interval of (2) should be 1-1.8. In combination with the importance score, n=0.04
(3) Weight determined by the j-th expert:
note that: there are m indices.
(4) Integrating expert opinion:
note that: there are n experts.
5. The method for analyzing the sequence relation of the improved investigation method according to claim 1, wherein in the step 4, the specific process of the improved investigation method is as follows:
in substations of an electrical power system, it is necessary to analyze the influence of factors on their cooperativity, provided that the following index weights are given by means of a sequence relation analysis method:
main station and sub station cooperative error prevention, main station and sub station cooperative control, main station and sub station fault investigation, main station and sub station functional support, cross-region fire service, cross-region security service, cross-region ring service and cross-region video linkage
(1) Traditional sequence relation analysis method
First, the importance order of each index needs to be determined by investigation. 10 experts were invited to participate in the investigation. Such as:
expert 1: main station and sub station cooperative error prevention > main station and sub station cooperative control > main station and sub station fault investigation > main station and sub station functional support > cross-region fire service > cross-region security service > cross-region ring service > cross-region video linkage
…
Expert 10: main station and sub station cooperative error prevention > main station and sub station cooperative control > main station and sub station fault investigation > cross-region security service > cross-region video linkage > main station and sub station functional support > cross-region ring service > cross-region fire service
Then, each expert gives the relative importance among indexes according to own sequencing, as shown in table 1 in the specification;
(2) Sequence relation analysis method for improving investigation mode
Directly taking percentage system to investigate the importance of the index. Table 2 as in the specification;
therefore, the order relation analysis method for improving the investigation mode can reduce the workload of experts during investigation, and has more operability in data collection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310676474.7A CN116662775A (en) | 2023-06-08 | 2023-06-08 | Sequence relation analysis method for improving investigation mode |
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| CN202310676474.7A CN116662775A (en) | 2023-06-08 | 2023-06-08 | Sequence relation analysis method for improving investigation mode |
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| CN116662775A true CN116662775A (en) | 2023-08-29 |
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2023
- 2023-06-08 CN CN202310676474.7A patent/CN116662775A/en active Pending
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