CN104424613A - Value added tax invoice monitoring method and system thereof - Google Patents
Value added tax invoice monitoring method and system thereof Download PDFInfo
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- CN104424613A CN104424613A CN201310397772.9A CN201310397772A CN104424613A CN 104424613 A CN104424613 A CN 104424613A CN 201310397772 A CN201310397772 A CN 201310397772A CN 104424613 A CN104424613 A CN 104424613A
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Abstract
The invention provides a value added tax invoice monitoring method and a system thereof. The value added tax invoice monitoring method comprises the following steps of preparing data, executing data query and finding corresponding output invoice data; establishing a special character dictionary table; getting a Chinese name of a purchasing party enterprise and calculating the similarity of the name of the purchasing party enterprise; getting a Chinese name of a selling party enterprise and calculating the similarity of the name of the selling party enterprise; calculating the conformity of the number of commodity detail lines and the similarity of commodity names; performing comprehensive judgment on doubtful points. The value added tax invoice monitoring method improves the working efficiency in tax authority tax payment appraisal, tax check and the like and greatly reduces tax evasion of enterprises.
Description
Technical field
The present invention relates to invoice monitoring technique field, in particular to a kind of method for supervising and system thereof of VAT invoice, the negative and positive ticket doubtful point of VAT invoice can be filtered out by the method, and with the production and operating activities of this monitoring enterprise, the normal production and operation of further specification enterprise, avoid the illegal operation of enterprise.
Background technology
The invention of forgery prevention for value-added tax taxation control system, popularization and use substantially increase state tax revenue and have become one of strong means of China's tax collection and administration, but still have illegal enterprise to utilize the existing taxation management method not enough, be engaged in illegal business activities, thus result in " have into without pin, have pin without enter, sell unreal, deduction is not inconsistent, negative and positive ticket " etc. the appearance of problem.Wherein, enterprise make use of anti-false tax-controlled system VAT invoice is handled send a duplicate to declare dutiable goods and certification process in, under only needing to check the condition of seven key elements, occur the enterprise name in invoice, the detailed title of commodity to alter, manufactured the situation of value added tax negative and positive ticket.
Therefore, how above-mentioned technical matters is solved, and develop a kind of method for supervising of VAT invoice, be the research direction place of those skilled in the art.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of method for supervising and system thereof of VAT invoice, to solve following technical matters:
1, the collection of enterprise name and commodity detail in income invoice.Require when enterprise carries out offsetting slip certification, the full detail in income invoice can be gathered, comprise Chinese information and the commodity managing detailed catalogue of enterprise.
2, the collection of enterprise name and commodity detail in sales invoice.Require to carry out in stub sends a duplicate to, the full detail in sales invoice can being gathered, comprising Chinese information and the commodity managing detailed catalogue of enterprise in enterprise.
3, negative and positive ticket judges.By entering the analytical calculation of enterprise name in sales invoice data and commodity detail to enterprise, find out the illegal activities of negative and positive ticket.
In order to achieve the above object, the invention provides a kind of method for supervising of VAT invoice, it comprises the following steps:
Carry out data encasement, perform data query, search corresponding sales invoice data;
Build special character dictionary table;
Get the Chinese of Acquiring enterprise, and calculate the similarity of Acquiring enterprise's title;
The Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name;
Calculate the detailed degree of conformity of line number of commodity and the similarity of trade name;
Carry out the synthetic determination of negative and positive ticket doubtful point.
Wherein, data encasement is included in income invoice data, take out the income invoice data not doing the process of negative and positive ticket one by one, specifically comprise following judgement: determine whether special ticket, judge whether the amount of money is zero, judge whether detail complete, judge the side of purchasing and pin side be whether inside the province tax-supervise system enterprise, determining whether voided check, determining whether for making out an invoice.
Wherein, searching corresponding sales invoice data is the qualified data provided from data encasement, gets its invoice codes and invoice number performs data query in sales invoice data, searches the sales invoice data that income invoice is corresponding.
Wherein, get the Chinese of Acquiring enterprise, and the step calculating the similarity of Acquiring enterprise's title comprises:
The Chinese enterprise name of Acquiring enterprise is taken out, referred to as income Acquiring enterprise title from the income invoice data provided, the Chinese enterprise name of Acquiring enterprise is taken out from sales invoice data, referred to as Xiao Xiang Acquiring enterprise title, again these two names are called and get rid of special character process, that is: according to the content in special character dictionary table, exclude the content not needing to participate in algorithm, remaining content is new income Acquiring enterprise title and Xiao Xiang Acquiring enterprise title, by the income Acquiring enterprise title that obtains and Xiao Xiang Acquiring enterprise title, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of Acquiring enterprise's title.
Wherein, the Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name comprises: the Chinese enterprise name of taking out Xiao Fang enterprise from the income invoice data provided, referred to as income pin side enterprise name, the Chinese enterprise name of Xiao Fang enterprise is taken out from sales invoice data, referred to as the pin item side of pin enterprise name, these two names are called and get rid of special character process, that is: according to the content in special character dictionary table, exclude the content not needing to participate in algorithm, remaining content is new income pin side enterprise name and the pin item side of pin enterprise name, the income pin side enterprise name obtained and the pin item side of pin enterprise name are substituted into ORACLE database UTL_MATCH the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of pin side's enterprise name.
Wherein, calculate the detailed degree of conformity of line number of commodity and the similarity of trade name comprises: from the income provided and sales invoice data, the line number of commodity detail in the line number of commodity detail and sales invoice in statistics income invoice data; The line number entering pin item commodity compared, as equal in line number value, then the degree of conformity of the detailed line number of commodity is " meeting "; If line number value is unequal, the degree of conformity of the detailed line number of commodity is " not meeting ", and take out the pin item trade name of income trade name and corresponding places successively line by line, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of one's own profession trade name, the trade name Similarity Measure of whole detail row is complete, averages and is the trade name Similarity value of this invoice.
Wherein, whether synthetic determination is negative and positive ticket, specifically comprises following sub-step:
When detailed line number degree of conformity is " not meeting ", be judged to be negative and positive ticket doubtful point;
Acquiring enterprise title Similarity value <1, is judged to be negative and positive ticket doubtful point;
The Similarity value <1 of the side's of pin enterprise name, is judged to be negative and positive ticket doubtful point;
The Similarity value <1 of trade name, is judged to be negative and positive ticket doubtful point.
In order to achieve the above object, the present invention also provides a kind of supervisory system of VAT invoice, and it comprises:
Data inquiry module, it is for carrying out data encasement, performs data query, searches corresponding sales invoice data;
Module set up by special character dictionary table, and it is for building special character dictionary table;
The side's of purchasing similarity calculation module, it for getting the Chinese of Acquiring enterprise, and calculates the similarity of Acquiring enterprise's title;
The side's of pin similarity calculation module, the Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name;
Degree of conformity and similarity calculation module, it is for calculating the detailed degree of conformity of line number of commodity and the similarity of trade name;
Bill determination module, it is for carrying out the synthetic determination of negative and positive ticket doubtful point.
Wherein, be provided with judging unit in described data inquiry module, for determining whether special ticket, judge whether the amount of money is zero, judge whether detail complete, judge the side of purchasing and pin side be whether inside the province tax-supervise system enterprise, determining whether voided check, determining whether for making out an invoice.
Wherein, described bill determination module is judged to be negative and positive ticket doubtful point for the moment when meeting following condition: this condition is: when detailed line number degree of conformity is " not meeting ", Acquiring enterprise title Similarity value <1, the Similarity value <1 of the side's of pin enterprise name or the Similarity value <1 of trade name.
The present invention compared with prior art, the present invention be utilize from enterprise handle the process of sending a duplicate to tax and certification gather come up enter sales invoice detailed data, according to the calculating to the Chinese of enterprise and the data item such as commodity are detailed, filter out the negative and positive ticket in VAT invoice, for the tax authority provides a kind of method for supervising of VAT invoice, to strengthen the risk management of value added tax further, the strengthening tax source control, containment lawless person utilizes the generation of the technical bottleneck tax evasion phenomenon of current tax jurisdiction.
Accompanying drawing explanation
The method for supervising process flow diagram of a kind of VAT invoice that Fig. 1 provides for the embodiment of the present invention.
The supervisory system block diagram of a kind of VAT invoice that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, to above-mentioned being described in more detail with other technical characteristic and advantage of the present invention.
As shown in Figure 1, be the method for supervising process flow diagram of a kind of VAT invoice that the embodiment of the present invention provides, the present invention includes following steps:
Step S1, carries out data encasement, and perform data query, in income invoice data, take out the income invoice data not doing the process of negative and positive ticket one by one, it comprises following sub-step:
Step S11: determine whether special ticket judges according to the invoice classification in these data, if special ticket, then enters next step process; If not special ticket, be then masked as processed by these data, this data processing terminates, and continues the data encasement of next invoice.
Step S12: judge whether the amount of money is zero, it judges according to the invoice amount of these data, if invoice amount is greater than zero, then enters next step process; If invoice amount equals zero, be then masked as processed by these data, this data processing terminates, and continues the data encasement of next invoice.
Step S13: judge that whether detail is complete, it is by the amount of money in accumulative commodity detail and the amount of tax to be paid, and compares with the amount of money of this invoice data and the amount of tax to be paid, if equal, detailed complete, if unequal, then detailed imperfect.If detailed complete, then enter next step process; If detailed imperfect, be then masked as processed by these data, this data processing terminates, and continues the data encasement of next invoice.
Step S14: judge whether the side of purchasing and pin side are this tax-supervise system enterprise inside the province, it gets pin side's Taxpayer Identification Number in this invoice data and the side's of purchasing Taxpayer Identification Number, and inquire about in taxpayer's information of this province, to determine whether the general taxpayer of this province.If seller and buyer are the general taxpayers of this province, then enter next step process; As long as there is a side not to be the taxpayer of this province, be then masked as processed by these data, this data processing terminates, and continues the data encasement of next invoice.
Step S15: determine whether voided check, it judges according to the whether cancel indicator in these data, if not the invoice cancelled, then enters next step process; If the invoice cancelled, be then masked as processed by these data, this data processing terminates, and continues the data encasement of next invoice.
Step S16: determine whether that generation makes out an invoice, it draws a bill according to the generation in these data to indicate judgement, draws a bill, then enter next step process if not generation; If generation draws a bill, be then masked as processed by these data, this data processing terminates, and continues the data encasement of next invoice.
Step S2: search corresponding sales invoice data.
From the qualified data that the data encasement of step S1 provides, get its invoice codes and invoice number performs data query in sales invoice data, search the sales invoice data that income invoice is corresponding, if having found corresponding sales invoice data, then enter next step process; If do not find corresponding sales invoice data, then this data processing terminates, and returns step S1, continues the process of next invoice data.
Step S3: build special character dictionary table.
Preserve the special content needing in the algorithm to get rid of, e.g., the Chinese character of the mark administrative division rank such as " province ", " city ", " autonomous region ", " county ", " district " in enterprise name; Or the content of the mark such as " company limited ", " share ", " company " enterprise nature; Or due to special character, unallowable instruction digit that certification scanning recognition causes, as ". ", space etc.In order to remove or replace unusual character, first at registration abnormity character in abnormal conditions code table (dm_ycqk), in the process of subsequent step, just these special contents should can be got rid of according to this this code table.SEARCH_STR for need unusual characters to be processed, REPLACE_STR is the character that will replace to, for sky then this character of code directly removed.This dictionary table, can at any time in manual setting according to various places real data situation.
List structure is as follows:
| Code | Annotation | Data type | Non-NULL |
| SEARCH_STR | Be replaced character | VARchar2(100) | TRUE |
| REPLACE_STR | Replace to character | VARchar2(100) | FALSE |
| IS_AVAILABLE | Effective marker | char(1) | TRUE |
| PRIORITY | Priority | NUMBER(2) | TRUE |
Build table script as follows:
Step S4: the Chinese getting Acquiring enterprise.
The Chinese enterprise name of Acquiring enterprise is taken out, referred to as income Acquiring enterprise title in the income invoice data provided from step S2; The Chinese enterprise name of Acquiring enterprise is taken out from sales invoice data, referred to as Xiao Xiang Acquiring enterprise title, again these two names are called and get rid of special character process, that is: according to the content in special character dictionary table, exclude the content not needing to participate in algorithm, remaining content is new income Acquiring enterprise title and Xiao Xiang Acquiring enterprise title, then enters next step process.
Step S5: the similarity calculating Acquiring enterprise's title.
By the income Acquiring enterprise title that obtains from step S4 and Xiao Xiang Acquiring enterprise title, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity.
Step S6: the Chinese of enterprise of write off side.
The Chinese enterprise name of Xiao Fang enterprise is taken out, referred to as income pin side enterprise name in the income invoice data provided from step S2; The Chinese enterprise name of Xiao Fang enterprise is taken out from sales invoice data, referred to as the pin item side of pin enterprise name, again these two names are called and get rid of special character process, that is: according to the content in special character dictionary table, exclude the content not needing to participate in algorithm, remaining content is new income pin side enterprise name and the pin item side of pin enterprise name, then enters next step process.
Step S7: the similarity calculating pin side's enterprise name.
By the income pin side enterprise name that obtains from step S6 and the pin item side of pin enterprise name, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity.
Step S8: the degree of conformity calculating the detailed line number of commodity.
The income provided from step S2 and sales invoice data, the line number of commodity detail in the line number of commodity detail and sales invoice in statistics income invoice data; The line number entering pin item commodity compared, as equal in line number value, then the degree of conformity of the detailed line number of commodity is " meeting "; If line number value is unequal, the degree of conformity of the detailed line number of commodity is " not meeting ".
Step S9: the similarity calculating trade name.
The income provided from step S2 and sales invoice data, take out the pin item trade name of income trade name and corresponding places successively line by line, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of one's own profession trade name, the trade name Similarity Measure of whole detail row is complete, averages and is the trade name Similarity value of this invoice.
Step S10: the synthetic determination of negative and positive ticket doubtful point.
The Acquiring enterprise's title Similarity value utilizing step S5 to calculate; The similarity of pin side's enterprise name that step S7 calculates; Step S8 step calculates the degree of conformity of the detailed line number of commodity; Whether the similarity of the trade name that step S9 calculates, can synthetic determination be negative and positive ticket, specifically comprise following sub-step:
Step S101: when detailed line number degree of conformity is " not meeting ", be judged to be negative and positive ticket doubtful point;
Step S102: Acquiring enterprise title Similarity value <1, is judged to be negative and positive ticket doubtful point;
Step S103: the Similarity value <1 of the side's of pin enterprise name, be judged to be negative and positive ticket doubtful point;
Step S104: the Similarity value <1 of trade name, be judged to be negative and positive ticket doubtful point;
Above similarity refers to: the similarity degree of the enterprise name when the enterprise name judged in the invoice offsetting slip that Acquiring enterprise obtains and seller enterprise development ticket on stub, and the trade name similarity degree on both sides' invoice, be use fuzzy synthesis judgment principle, two waited evaluating content carries out the numerical value that computing draws.In theory, entering sales invoice is same invoice, and foregoing should be just the same, that is: Similarity value should be 1, tax bureau personnel, this value can judge entering sales invoice and whether having problems of enterprise.
Two duplicate contents, Similarity value is 1, as: " notebook computer " is 1 with the end value of " notebook computer " Similarity Measure, illustrates that two contents compared are identical.Two complete different contents, Similarity value is 0, as: " notebook computer " is 0 with the Similarity value of " hard disk ", illustrates that two contents compared do not have identical content completely.The Similarity value of part identical content is between (0,1) between, as: " yellow large metal goods and materials recycle bin Emeishan City " is 0.35 with " the flurried large metal goods and materials recycle bin in Emeishan City " Similarity Measure result, illustrates that, in two contents compared, some is identical content.
Wherein: the judgement of Similarity value <1 is comparatively strict, in practical application, can according to the concrete condition of each department invoice data, the threshold value of adjustment judgement flexibly.
As shown in Figure 2, a kind of supervisory system block diagram of VAT invoice that provides of the embodiment of the present invention.The supervisory system 1 of this kind of VAT invoice comprises: data inquiry module 11, special character dictionary table set up module 12, the side's of purchasing similarity calculation module 13, the side's of pin similarity calculation module 14, degree of conformity and similarity calculation module 15 and bill determination module 16, wherein:
Described data inquiry module 11, it is for carrying out data encasement, performs data query, searches corresponding sales invoice data; Be provided with judging unit in described data inquiry module, for determining whether special ticket, judge whether the amount of money is zero, judge whether detail complete, judge the side of purchasing and pin side be whether inside the province tax-supervise system enterprise, determining whether voided check, determining whether for making out an invoice.
Module 12 set up by described special character dictionary table, and it is for building special character dictionary table;
The described side's of purchasing similarity calculation module 13, it for getting the Chinese of Acquiring enterprise, and calculates the similarity of Acquiring enterprise's title;
Described pin side's similarity calculation module 14, the Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name;
Described degree of conformity and similarity calculation module 15, it is for calculating the detailed degree of conformity of line number of commodity and the similarity of trade name;
Described bill determination module 16, it is for carrying out the synthetic determination of negative and positive ticket doubtful point, and described bill determination module is judged to be negative and positive ticket doubtful point for the moment when meeting following condition: this condition is: when detailed line number degree of conformity is " not meeting ", Acquiring enterprise title Similarity value <1, the Similarity value <1 of the side's of pin enterprise name or the Similarity value <1 of trade name.
In sum, the present invention has following beneficial effect relative to prior art, and this effect can be divided into tax office effect and firm effect:
Tax office effect: the method has enriched the monitoring of the tax authority to VAT invoice; Effective monitoring and the important means analyzing the tax evasion of illegal enterprise, guarantee tax income; Improve the work efficiency of the aspects such as tax authority's tax payment evaluation, Tax Check.
Firm effect: reduce the risk issued invoice lack of standardization, the legal regulated management of promoting enterprise; Effectively contain the behaviors such as illegal enterprise writes out falsely, void is supported, generation draws a bill; Greatly reduce the generation of enterprise's tax evasion phenomenon.
More than illustrate just illustrative for the purpose of the present invention, and nonrestrictive, and those of ordinary skill in the art understand; when not departing from the spirit and scope that following claims limit, many amendments can be made, change; or equivalence, but all will fall within the scope of protection of the present invention.
Claims (10)
1. a method for supervising for VAT invoice, is characterized in that, it comprises the following steps:
Carry out data encasement, perform data query, search corresponding sales invoice data;
Build special character dictionary table;
Get the Chinese of Acquiring enterprise, and calculate the similarity of Acquiring enterprise's title;
The Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name;
Calculate the detailed degree of conformity of line number of commodity and the similarity of trade name;
Carry out the synthetic determination of negative and positive ticket doubtful point.
2. the method for supervising of a kind of VAT invoice according to claim 1, it is characterized in that, data encasement is included in income invoice data, take out the income invoice data not doing the process of negative and positive ticket one by one, specifically comprise following judgement: determine whether special ticket, judge whether the amount of money is zero, judge whether detail complete, judge the side of purchasing and pin side be whether inside the province tax-supervise system enterprise, determining whether voided check, determining whether for making out an invoice.
3. the method for supervising of a kind of VAT invoice according to claim 2, it is characterized in that, searching corresponding sales invoice data is the qualified data provided from data encasement, get its invoice codes and invoice number performs data query in sales invoice data, search the sales invoice data that income invoice is corresponding.
4. the method for supervising of a kind of VAT invoice according to claim 3, is characterized in that, gets the Chinese of Acquiring enterprise, and the step calculating the similarity of Acquiring enterprise's title comprises:
The Chinese enterprise name of Acquiring enterprise is taken out, referred to as income Acquiring enterprise title from the income invoice data provided; The Chinese enterprise name of Acquiring enterprise is taken out from sales invoice data, referred to as Xiao Xiang Acquiring enterprise title, according to the content in special character dictionary table, exclude the content not needing to participate in algorithm, remaining content is new income Acquiring enterprise title and Xiao Xiang Acquiring enterprise title, by the income Acquiring enterprise title that obtains and Xiao Xiang Acquiring enterprise title, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of Acquiring enterprise's title.
5. the method for supervising of a kind of VAT invoice according to claim 4, it is characterized in that, the Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name comprises: the Chinese enterprise name of taking out Xiao Fang enterprise from the income invoice data provided, referred to as income pin side enterprise name; The Chinese enterprise name of Xiao Fang enterprise is taken out from sales invoice data, referred to as the pin item side of pin enterprise name, according to the content in special character dictionary table, exclude the content not needing to participate in algorithm, remaining content is new income pin side enterprise name and the pin item side of pin enterprise name, by the income pin side enterprise name that obtains and the pin item side of pin enterprise name, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of pin side's enterprise name.
6. the method for supervising of a kind of VAT invoice according to claim 5, it is characterized in that, calculate the detailed degree of conformity of line number of commodity and the similarity of trade name comprises: from the income provided and sales invoice data, the line number of commodity detail in the line number of commodity detail and sales invoice in statistics income invoice data; The line number entering pin item commodity compared, as equal in line number value, then the degree of conformity of the detailed line number of commodity is " meeting "; If line number value is unequal, the degree of conformity of the detailed line number of commodity is " not meeting ", and take out the pin item trade name of income trade name and corresponding places successively line by line, substitute into ORACLE database UTL_MATCH and the function provided is provided: in .edit_distance_similarity, the value drawn counts the similarity of one's own profession trade name, the trade name Similarity Measure of whole detail row is complete, averages and is the trade name Similarity value of this invoice.
7. the method for supervising of a kind of VAT invoice according to claim 6, is characterized in that, whether synthetic determination is negative and positive ticket, specifically comprises following sub-step:
When detailed line number degree of conformity is " not meeting ", be judged to be negative and positive ticket doubtful point;
Acquiring enterprise title Similarity value <1, is judged to be negative and positive ticket doubtful point;
The Similarity value <1 of the side's of pin enterprise name, is judged to be negative and positive ticket doubtful point;
The Similarity value <1 of trade name, is judged to be negative and positive ticket doubtful point.
8. a supervisory system for VAT invoice, is characterized in that, it comprises:
Data inquiry module, it is for carrying out data encasement, performs data query, searches corresponding sales invoice data;
Module set up by special character dictionary table, and it is for building special character dictionary table;
The side's of purchasing similarity calculation module, it for getting the Chinese of Acquiring enterprise, and calculates the similarity of Acquiring enterprise's title;
The side's of pin similarity calculation module, the Chinese of enterprise of write off side, and the similarity calculating pin side's enterprise name;
Degree of conformity and similarity calculation module, it is for calculating the detailed degree of conformity of line number of commodity and the similarity of trade name;
Bill determination module, it is for carrying out the synthetic determination of negative and positive ticket doubtful point.
9. the supervisory system of a kind of VAT invoice according to claim 8, it is characterized in that, be provided with judging unit in described data inquiry module, for determining whether special ticket, judge whether the amount of money is zero, judge whether detail complete, judge the side of purchasing and pin side be whether inside the province tax-supervise system enterprise, determining whether voided check, determining whether for making out an invoice.
10. the supervisory system of a kind of VAT invoice according to claim 8, it is characterized in that, described bill determination module is judged to be negative and positive ticket doubtful point for the moment when meeting following condition: this condition is: when detailed line number degree of conformity is " not meeting ", Acquiring enterprise title Similarity value <1, the Similarity value <1 of the side's of pin enterprise name or the Similarity value <1 of trade name.
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| CN106354871A (en) * | 2016-09-18 | 2017-01-25 | 长城计算机软件与系统有限公司 | Similarity search method of enterprise names |
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| CN109978675B (en) * | 2017-12-22 | 2022-06-07 | 航天信息股份有限公司 | Tax monitoring method and device |
| CN109978675A (en) * | 2017-12-22 | 2019-07-05 | 航天信息股份有限公司 | A kind of tax monitoring method and device |
| CN108549640A (en) * | 2018-04-24 | 2018-09-18 | 易联众信息技术股份有限公司 | One kind being based on statistical enterprise name similarity calculating method |
| CN110659948A (en) * | 2018-06-13 | 2020-01-07 | 中国软件与技术服务股份有限公司 | Calculation method for matching degree of commodity sold and false invoice risk discovery method |
| CN109472679B (en) * | 2018-10-19 | 2022-02-18 | 海闻科技有限公司 | Method for automatically extracting entry invoice |
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| CN111429262A (en) * | 2020-03-19 | 2020-07-17 | 畅捷通信息技术股份有限公司 | Loan assessment method and device based on financial data of bill verification service |
| CN111429262B (en) * | 2020-03-19 | 2023-12-05 | 畅捷通信息技术股份有限公司 | Loan assessment method and device based on bill verification business financial data |
| CN112183948A (en) * | 2020-09-07 | 2021-01-05 | 神州数码信息系统有限公司 | Business enterprise value-added tax invoice false invoice risk assessment method based on marketing item comparison |
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| CN116049358A (en) * | 2023-03-31 | 2023-05-02 | 得分数字科技(珠海)有限公司 | Invoice information approximation degree detection method, storage medium and computer equipment |
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