CN109034568B - Enterprise reported data credibility evaluation system and implementation method thereof - Google Patents
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Abstract
The invention relates to the technical field of computer application, in particular to an enterprise reported data credibility assessment system and an implementation method thereof. The system of the invention consists of a data rule analysis component, a data credibility evaluation component and a data identification component. And the data rule analysis component calculates a time-consuming credible interval of each index report, and generates an index data credible rule base and an index data logic credible rule base. And the data credibility evaluation component calculates the credibility score of the single index, and then calculates the total reported credibility score according to enterprise summarization. And the data identification component filters the untrusted data according to the limited credibility score based on the single index credibility score and the enterprise reported credibility total score calculated by the data credibility evaluation component, and summarizes the credibility index set and the credible enterprise reported data set in groups. The invention provides a method for evaluating the credibility of reported data of a computing enterprise and generating a credible index set and a credible enterprise reported data set, which can be suitable for screening credible enterprise index data by government departments and provide reliable data bases for making work suggestions and decisions.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to an enterprise reported data credibility evaluation system and an implementation method thereof.
Background
The government departments can learn about the business situation of the enterprise and make instructive work suggestions and decisions by collecting various index data reported by the enterprise. Because the data reporting process of an enterprise cannot be supervised in real time, the condition that data are reported randomly is not excluded; untrusted data tends to bias work advice and decisions from the correct direction. At this time, a system for identifying the reliability of reported data by analyzing the time of reporting data, index values and index data logic of an enterprise is needed, so as to screen a credible index data set and provide reliable data basis for making work suggestions and decisions.
Disclosure of Invention
One of the technical problems to be solved by the invention is to provide an enterprise reported data credibility evaluation system, which calculates the reported time-consuming credibility, the logical credibility and the numerical credibility, and calculates the comprehensive credibility score in a summary manner; and then filtering out enterprise index values lower than the limited credibility score, and finally forming instructive enterprise index data.
The second technical problem to be solved by the present invention is to provide a method for implementing the enterprise reported data credibility assessment system.
The technical scheme for solving one of the technical problems of the invention is as follows:
the system comprises a data rule analysis component, a data credibility evaluation component and a data identification component;
the data rule realizes that: the analysis component calculates a reporting time-consuming credible interval of each index by collecting reporting time-consuming distribution conditions of all enterprise indexes; grouping each index data, and performing regular expression detection, data continuous range detection and data discrete range detection to generate an index data credible rule base; combining the indexes to generate an index data logic credible rule base;
the data credibility evaluation component realizes that: calculating the reporting time consumption reliability, the numerical value reliability and the logic reliability of the indexes, respectively giving weights to calculate the reliability scores of the single indexes, and then calculating the total reporting reliability score according to enterprise summarization;
the data authentication component implements: and filtering the untrusted data according to the limited credibility score based on the single index credibility score and the enterprise reported credibility total score calculated by the data credibility evaluation component, and grouping and summarizing the credibility index set and the credible enterprise reported data set.
The second technical solution for solving the above technical problems of the present invention is:
The method comprises the following specific steps:
collecting the reporting time-consuming distribution conditions of all enterprise indexes, and calculating the reporting time-consuming credible interval of each index;
grouping each index data, and performing regular expression detection, data continuous range detection and data discrete range detection to generate an index data credible rule base;
combining the indexes to generate an index data logic credible rule base;
secondly, calculating time-consuming credibility of all enterprise indexes according to the time-consuming of reporting the index data by the enterprise and the time-consuming credibility interval of reporting the indexes;
calculating the reliability of the index data according to the detection of the index regular expression, the continuous range of the index data and the rule base of the discrete range of the index data;
calculating the index logic credibility according to the data logic credibility rule base;
thirdly, calculating an index credibility score according to the index time consumption credibility, the index logic credibility and the index data credibility;
fourthly, calculating the total credibility score reported by the enterprise according to the credibility score of the enterprise index;
fifthly, filtering out enterprise index values lower than a limited credibility score based on the index credibility score;
and filtering out enterprise reported data lower than the limited credibility score based on the enterprise reported credibility total score, and generating a credible enterprise reported data set.
The calculation step of the time-consuming credible interval for reporting the index comprises the following steps:
the method comprises the steps of firstly, calculating the number of enterprises in groups according to the reported time consumption of indexes, and arranging the enterprises in a descending order, wherein the reported time consumption sequence is T1 … Tn, the number of the corresponding enterprises is Q1... Qn, and n is the reported time consumption group number of the indexes;
secondly, calculating the proportion of Q1 in the total number of enterprises, wherein if the proportion reaches 60%, the credible interval is [ T1, T1 ]; if the percentage of the enterprises is not 60%, accumulating Q2, if the percentage is 60%, if T1 is less than T2, the credible interval is [ T1, T2], otherwise, the credible interval is [ T2, T1 ]; if not, continuing the third step;
and thirdly, accumulating Qi and calculating the enterprise number ratio, wherein when the ratio reaches 60%, if Ti is in a credible interval, the credible interval does not need to be modified, if the Ti is larger than the credible interval, the maximum value of the credible interval is replaced, otherwise, the minimum value of the credible interval is replaced, wherein i is the reporting time consumption serial number 3.
The regular expression detection defines an index value type, a data continuous range detection defines an index value interval, and a data discrete range detection defines an index value discrete range.
The logic credible rule base defines an enterprise with a certain or a plurality of same index values, and the index n of the enterprise has a specific value type, a value range or a value discrete range.
The reporting time consumption credibility calculation method comprises the following steps: if the time consumption of the enterprise reporting index is greater than or equal to the minimum value of the time-consumption credibility interval, the time-consumption credibility is 1; if the time consumption of the enterprise reporting index is less than the minimum value of the time-consuming credible interval, respectively calculating the distance D1 between the reported time consumption of the enterprise and the minimum value of the credible interval and the distance D2 between the minimum value of the credible interval and the average value of the credible interval, if D1 is more than D2, the time-consuming credibility is 0.2, otherwise, the time-consuming credibility is 0.5.
The numerical value credibility and logic credibility calculation method comprises the following steps: (S1+ S2+ S3)/3, where S is a numerical reliability and a logical reliability score, S1 is a regular expression detection score, S2 is a continuous range score, and S3 is a discrete range score;
the calculation method of S1 is as follows: if the types of the index data reported by the enterprise are matched, the score is 1, and if the types of the index data reported by the enterprise are not matched, the score is 0;
the calculation method of S2 is as follows: if the index value reported by the enterprise is in the continuous range, the score is 1; otherwise, respectively calculating the distance D1 between the index value reported by the enterprise and the minimum value or the maximum value of the continuous range and the distance D2 between the minimum value of the continuous range and the average value of the continuous range, if D1 is more than D2, the score is 0.2, otherwise, the score is 0.5;
The S3 calculation method comprises the following steps: if the enterprise reported index data meets the matching of the discrete range, the score is 1, and if the enterprise reported index data does not meet the matching of the discrete range, the score is 0.
The index credibility score calculation method comprises the following steps: q is 0.2 × Q1+0.4 × Q2+0.4 × Q3, where Q is the index confidence score, Q1 is the reported elapsed time confidence score, Q2 is the numeric confidence score, Q3 is the logical confidence score, and the corresponding weights are 0.2, 0.4, and 0.4, respectively.
The method for calculating the total credibility score reported by the enterprise comprises the following steps:
wherein R is the total credibility score reported by the enterprise, Q is the credibility score of the enterprise index, and n is the total number of the enterprise index reported.
The invention has the beneficial effects that:
by analyzing the enterprise reported data time, the reported index data value and the data logic, a credible rule base is automatically generated, and a check rule does not need to be manually formulated; the credibility of reported data is identified and credibility index data sets are screened by calculating the credibility score of a single index and the total credibility score reported by enterprises, so that reliable data basis is provided for making work suggestions and decisions.
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The invention is further described below with reference to the accompanying drawings:
FIG. 1 is a schematic diagram of the architecture of the present invention.
Detailed Description
As shown in fig. 1, the enterprise reported data credibility assessment system of the present invention is composed of a data rule analysis component, a data credibility evaluation component, and a data identification component.
The data rule analysis component calculates a reporting time-consuming credible interval of each index by collecting reporting time-consuming distribution conditions of all enterprise indexes, generates an index data credible rule base by grouping each index data and performing regular expression detection, data continuous range detection and data discrete range detection, and generates an index data logic credible rule base by combining the indexes and the indexes in a correlation manner;
the data credibility evaluation component respectively calculates reporting time-consuming credibility, numerical credibility and logical credibility of the indexes, respectively gives weights to calculate credibility scores of the single indexes, and then calculates a total reporting credibility score according to enterprise summarization;
and the data identification component filters the untrusted data according to the limited credibility score based on the single index credibility score and the enterprise reported credibility total score calculated by the data credibility evaluation component, and summarizes the credibility index set and the credible enterprise reported data set in groups.
The detailed implementation process of the enterprise reported data credibility evaluation system comprises the following steps:
step one, collecting time-consuming distribution conditions of reporting of all enterprise indexes, and calculating a time-consuming credible interval of reporting of each index;
secondly, grouping each index data, and performing regular expression detection, data continuous range detection and data discrete range detection to generate an index data credible rule base;
Thirdly, combining the indexes in a correlation manner, detecting a regular expression, a data continuous range and a data discrete range, and generating an index data logic credible rule base;
fourthly, calculating time-consuming credibility of all enterprise indexes according to the time-consuming of reporting the index data by the enterprise and the time-consuming credibility interval of reporting the indexes;
fifthly, calculating the reliability of the index data according to the detection of the index regular expression, the continuous range of the index data and the rule base of the discrete range of the index data;
sixthly, calculating the logical reliability of the index according to the logical reliability rule base of the data;
seventhly, calculating an index credibility score according to the index time consumption credibility, the index logic credibility and the index data credibility;
eighthly, calculating a total credibility score reported by the enterprise according to the credibility score of the enterprise index;
the ninth step, based on the index credibility score, filtering out enterprise index values lower than the limited credibility score to generate a credibility index set;
and tenth, filtering out enterprise reported data lower than the limited credibility score based on the total credibility score reported by the enterprise, and generating a credible enterprise reported data set.
The calculation step of the time-consuming credible interval for reporting the index comprises the following steps:
The method comprises the steps that firstly, the number of enterprises is calculated in groups according to the reporting time consumption of indexes and is arranged in a descending order, the reporting time consumption sequence is T1 … Tn, the number of the corresponding enterprises is Q1 … Qn, and n is the number of the groups of the reporting time consumption of the indexes;
secondly, calculating the proportion of Q1 in the total number of enterprises, wherein if the proportion reaches 60%, the credible interval is [ T1, T1 ]; if the percentage of the enterprises is not 60%, accumulating Q2, if the percentage is 60%, if T1 is less than T2, the credible interval is [ T1, T2], otherwise, the credible interval is [ T2, T1 ]; if not, continuing the third step;
and thirdly, accumulating Qi and calculating the enterprise number ratio, wherein when the ratio reaches 60%, if Ti is in a credible interval, the credible interval does not need to be modified, if Ti is larger than the credible interval, the maximum value of the credible interval is replaced, otherwise, the minimum value of the credible interval is replaced, wherein i is the reporting time-consuming sequence number 3 … n.
The regular expression detection defines the value type of the index, the data continuous range defines the value interval of the index, and the data discrete range defines the value discrete range of the index.
The logic credible rule base defines an enterprise with a certain or several same index values, and the index n of the enterprise has a specific value type, a value range or a value discrete range.
The reporting time consumption credibility calculation method comprises the following steps: if the time consumption of the enterprise reporting index is greater than or equal to the minimum value of the time-consumption credibility interval, the time-consumption credibility is 1; if the time consumption of the enterprise reporting index is less than the minimum value of the time-consuming credible interval, respectively calculating the distance D1 between the reported time consumption of the enterprise and the minimum value of the credible interval and the distance D2 between the minimum value of the credible interval and the average value of the credible interval, if D1 is more than D2, the time-consuming credibility is 0.2, otherwise, the time-consuming credibility is 0.5;
The numerical reliability and logic reliability calculation method comprises the following steps: (S1+ S2+ S3)/3, where S is a numerical reliability and a logical reliability score, S1 is a regular expression detection score, S2 is a continuous range score, and S3 is a discrete range score;
the calculation method of S1 is as follows: if the types of the index data reported by the enterprise are matched, the score is 1, and if the types of the index data reported by the enterprise are not matched, the score is 0;
the calculation method of S2 is as follows: if the index value reported by the enterprise is in the continuous range, the score is 1; otherwise, respectively calculating the distance D1 between the index value reported by the enterprise and the minimum value or the maximum value of the continuous range and the distance D2 between the minimum value of the continuous range and the average value of the continuous range, if D1 is more than D2, the score is 0.2, otherwise, the score is 0.5;
the calculation method of S3 is as follows: if the index data reported by the enterprise meets the matching of the discrete range, the score is 1, and if the index data reported by the enterprise does not meet the matching of the discrete range, the score is 0.
The index credibility score calculation method comprises the following steps: q0.2 × Q1+0.4 × Q2+0.4 × Q3, where Q is the index confidence score, Q1 is the reported elapsed time confidence score, Q2 is the numeric confidence score, Q3 is the logical confidence score, and the corresponding weights are 0.2, 0.4, and 0.4, respectively;
the method for calculating the total credibility score reported by the enterprise comprises the following steps:
wherein R is the total credit score reported by the enterprise, Q is the credit score of the enterprise index, and n is the total number of the enterprise index reported.
Claims (3)
1. An implementation method of an enterprise reported data credibility assessment system is characterized by comprising the following steps: the system comprises a data rule analysis component, a data credibility evaluation component and a data identification component;
the data rule analysis component realizes that: calculating a reporting time-consuming credible interval of each index by collecting reporting time-consuming distribution conditions of all enterprise indexes; grouping each index data, and performing regular expression detection, data continuous range detection and data discrete range detection to generate an index data credible rule base; combining the indexes to generate an index data logic credible rule base;
the data credibility evaluation component realizes that: calculating reporting time consumption reliability, index data reliability and logic reliability of the indexes, respectively giving weights to calculate single index reliability scores, and then calculating a total reporting reliability score according to enterprise summarization;
the data authentication component implements: filtering the untrusted data according to a limited credibility score based on the single index credibility score and the enterprise reported credibility total score calculated by the data credibility evaluation component, and grouping and summarizing a credible index set and a credible enterprise reported data set;
The method comprises the following specific steps:
collecting the reporting time-consuming distribution conditions of all enterprise indexes, and calculating the reporting time-consuming credible interval of each index;
grouping each index data, and performing regular expression detection, data continuous range detection and data discrete range detection to generate an index data credible rule base;
combining the indexes to generate an index data logic credible rule base;
secondly, calculating time-consuming credibility of all enterprise indexes according to the time-consuming of reporting the index data by the enterprise and the time-consuming credibility interval of reporting the indexes;
calculating the reliability of the index data according to the detection of the index regular expression, the continuous range of the index data and the rule base of the discrete range of the index data;
calculating the logical credibility of the indexes according to the logical credibility rule base of the index data;
thirdly, calculating an index credibility score according to the index time consumption credibility, the index logic credibility and the index data credibility;
fourthly, calculating the total credibility score reported by the enterprise according to the credibility score of the enterprise index;
fifthly, filtering out enterprise index values lower than a limited credibility score based on the index credibility score;
filtering out enterprise reported data lower than a limited credibility score based on the enterprise reported credibility total score, and generating a credible enterprise reported data set;
The calculation step of the time-consuming credible interval for reporting the index comprises the following steps:
the first step, calculating the number of enterprises in groups according to the reported consumed time of the indexes and arranging the enterprises in a descending order, wherein the reported consumed time sequence is T1 … Tn, the number of the corresponding enterprises is Q1 … Qn, and n is the reported consumed time group number of the indexes;
secondly, calculating the proportion of Q1 to the total number of enterprises, and if the proportion reaches 60%, reporting a time-consuming credible interval [ T1, T1 ]; if the percentage of the enterprise is not up to 60%, accumulating Q2 by the number of the enterprises, if the percentage of the enterprise is up to 60%, if the T1 is less than T2, reporting a time-consuming credible interval to the index as [ T1, T2], otherwise, reporting the time-consuming credible interval to the index as [ T2, T1 ]; if not, continuing the third step;
thirdly, accumulating Qi and calculating the percentage of the number of enterprises, when the percentage reaches 60%, if Ti is in the time-consuming credible interval for reporting the index, the time-consuming credible interval for reporting the index does not need to be modified, if Ti is larger than the time-consuming credible interval for reporting the index, the maximum value of the time-consuming credible interval for reporting the index is replaced, otherwise, the minimum value of the time-consuming credible interval for reporting the index is replaced, wherein i is a reporting time-consuming serial number 3 … n;
the method for calculating the time consumption credibility of the index comprises the following steps: if the time consumption of reporting the index by the enterprise is more than or equal to the minimum value of the time consumption credibility interval of reporting the index by the enterprise, the time consumption credibility is 1; if the time consumed by the enterprise to report the index is less than the minimum value of the confidence interval of the time consumed by the index, respectively calculating the distance D1 between the time consumed by the enterprise and the minimum value of the confidence interval of the time consumed by the index, and the distance D2 between the minimum value of the confidence interval of the time consumed by the index and the average value of the confidence interval of the time consumed by the index, if D1 is more than D2, the time-consuming confidence level is 0.2, otherwise, the time-consuming confidence level is 0.5;
The index data reliability and index logic reliability calculation method comprises the following steps: s = (S1+ S2+ S3)/3, where S is the index data reliability and index logical reliability score, S1 is the regular expression detection score, S2 is the continuous range score, and S3 is the discrete range score;
the calculation method of S1 is as follows: if the types of the index data reported by the enterprise are matched, the score is 1, and if the types of the index data reported by the enterprise are not matched, the score is 0;
the calculation method of S2 is as follows: if the index value reported by the enterprise is in the continuous range, the score is 1; otherwise, respectively calculating the distance D1 between the index value reported by the enterprise and the minimum value or the maximum value of the continuous range and the distance D2 between the minimum value of the continuous range and the average value of the continuous range, if D1 is more than D2, the score is 0.2, otherwise, the score is 0.5;
the calculation method of S3 is as follows: if the enterprise reported index data meets the matching of the discrete range, the score is 1, and if the enterprise reported index data does not meet the matching of the discrete range, the score is 0;
the index credibility score calculation method comprises the following steps: q =0.2 × Q1+0.4 × Q2+0.4 × Q3, where Q is an index confidence score, Q1 is an index time-consuming confidence score, Q2 is an index data confidence score, Q3 is an index logical confidence score, and the corresponding weights are 0.2, 0.4, and 0.4, respectively;
the method for calculating the total credibility score reported by the enterprise comprises the following steps: r = ( 
) And n 100, wherein R is total score of enterprise reported credibility, Q is score of enterprise index credibility, and n is total number of enterprise reported indexes.
2. The method of claim 1, wherein: the regular expression detection defines an index value type, a data continuous range detection defines an index value interval, and a data discrete range detection defines an index value discrete range.
3. The method of claim 1, wherein: the index data logic credible rule base defines an enterprise with a certain or a plurality of same index values, and the index n of the enterprise has a specific value type, a value interval or a value discrete range.
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