CN111353870A - Enterprise financial counterfeiting identification system based on big data - Google Patents

Enterprise financial counterfeiting identification system based on big data Download PDF

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CN111353870A
CN111353870A CN202010182032.3A CN202010182032A CN111353870A CN 111353870 A CN111353870 A CN 111353870A CN 202010182032 A CN202010182032 A CN 202010182032A CN 111353870 A CN111353870 A CN 111353870A
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钱大卫
王修艳
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Hefei Shendu Financial Management Consulting Co ltd
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Abstract

The invention discloses an enterprise financial counterfeiting identification system based on big data, which comprises a financial information acquisition module, a report extraction module, a financial logic association module, a transaction storage database, a financial counterfeiting identification module, a financial data processing module, a financial counterfeiting evaluation module and a display terminal. The financial fraud assessment module analyzes and processes the matched income sum, the unmatched income sum, the matched expenditure sum and the unmatched expenditure sum to obtain the financial fraud risk coefficient of the enterprise to be detected, can visually reflect the financial risk condition corresponding to the enterprise to be detected, and is convenient for providing reliable data support for later-period enterprise financial management.

Description

Enterprise financial counterfeiting identification system based on big data
Technical Field
The invention belongs to the technical field of enterprise financial identification, and relates to an enterprise financial counterfeiting identification system based on big data.
Background
The true and false condition of enterprise financial data, the development of direct influence enterprise, at present, the enterprise often adopts experienced accounting to analyze financial affairs to the analysis of enterprise's financial counterfeiting, to the enterprise that comes and goes closely with enterprise transaction very much, whether audit financial affairs in the financial statement is unusual, need consume a large amount of time and energy, and simultaneously, to the accuracy difference of financial counterfeiting information identification, in case the enterprise has the financial counterfeiting condition, will directly influence the amount of tax of enterprise, also influence the reputation of enterprise simultaneously, in order to solve the problem such as the accuracy difference, the degree of difficulty of the counterfeiting identification that the in-process of current financial counterfeiting identification exists, the financial risk situation that can't count because of financial counterfeiting causes exists simultaneously, now relate to an enterprise's financial counterfeiting identification system based on big data.
Disclosure of Invention
The invention aims to provide an enterprise financial counterfeiting identification system based on big data, which solves the problems of poor accuracy, low efficiency and high difficulty of financial counterfeiting identification in the prior art.
The purpose of the invention can be realized by the following technical scheme:
a big data-based enterprise financial counterfeiting identification system comprises a financial information acquisition module, a report extraction module, a financial logic association module, a transaction storage database, a financial counterfeiting identification module, a financial data processing module, a financial counterfeiting evaluation module and a display terminal;
the financial logic association module is respectively connected with the financial information acquisition module, the report extraction module, the transaction storage database and the financial counterfeiting identification module, the financial counterfeiting identification module is respectively connected with the transaction storage database and the financial data processing module, and the financial counterfeiting evaluation module is respectively connected with the transaction storage database, the financial data processing module and the display terminal;
the financial information acquisition module is used for acquiring the financial information of income and expenditure of an enterprise in real time and sending the financial information of income and expenditure to the financial logic association module;
the report extraction module is used for acquiring the financial reports of the enterprises in real time, extracting enterprise transaction information in the financial reports of the enterprises and sending the extracted enterprise transaction information to the financial logic association module;
the financial logic association module is used for receiving the income and expense financial information of the enterprise sent by the financial information acquisition module, receiving enterprise transaction information in an enterprise report sent by the report extraction module, establishing the association between the income and the expense according to the enterprise name in the income and expense financial information, simultaneously extracting the enterprise name in the enterprise transaction information in the enterprise report, establishing the association between the enterprise name in the income and expense financial information and the enterprise transaction information in the enterprise report, which is the same as the enterprise name, and respectively sending the income and expense transaction information corresponding to the enterprise name in the income and expense transaction information and the enterprise transaction information corresponding to the enterprise name in the enterprise report, which is the same as the enterprise name, to the financial counterfeiting identification module and the transaction storage database;
the transaction storage database is used for storing all income and expenditure amounts of the enterprise to be detected, transaction time corresponding to the income and expenditure amounts and risk coefficient threshold values of risk counterfeiting, and actual income amount sets C are respectively established for income and expenditure amounts between enterprises having transaction with the enterprise to be detectedi(ci1,ci2,...,cif,...,cip) and the set of actual expenditure amounts Di(di1,di2,...,dig,...,diw)，cif denotes the f income amount corresponding to the i enterprise name, cig represents the amount from the g actual expenditure of the enterprise to be detected to the ith enterprise name;
the financial counterfeiting identification module is used for receiving the income and expense transaction information corresponding to the enterprise name in the income and expense transaction information sent by the financial logic association module and the enterprise transaction information corresponding to the enterprise name in the enterprise report form with the same enterprise name, and extracting the income amount a in the income and expense transaction informationif. Amount of expenditure big, the amount of each income a to be extractedif and a payout amount big comparing the actual income amount and the actual expenditure amount corresponding to the enterprise name in the transaction storage database one by one, judging whether the amount is matched with the transaction time, and if the income amount a is matched with the actual expenditure amountif matching each actual income amount and paying out amount big and each actual amount of money paidMatching, judging whether the matched income amount is the same as the transaction time corresponding to the actual income amount, judging whether the matched expenditure amount is the same as the transaction time corresponding to the actual expenditure amount, and sending the income amount and the expenditure amount which are the same as the transaction amount and the transaction time, and the income amount and the expenditure amount which are different from each other or the transaction time to the financial data processing module;
the financial data processing module is used for receiving income amount and expenditure amount which are sent by the numerical value comparison and identification module and have the same transaction amount and the same transaction time, and income amount and expenditure amount which have different transaction amounts or different transaction times, and counting the income amount aif and the actual income amount ciA matching income amount and E, wherein the amount of f (1, 2,.., p) is the same and the transaction time is the sameiAnd a non-matching revenue amount and E 'having a revenue amount different from the actual revenue amount or different from the transaction time'iCounting the payout amount big and the actual payout amount diA matching payout amount F where the amount of g (1, 2.., w) is the same and the transaction time is the sameiAnd a non-matching payout amount and F 'having a payout amount different from the amount of the actual payout amount or different from the transaction time'iThe financial data processing module sends the matched income sum, the unmatched income sum, the matched expenditure sum and the unmatched expenditure sum to the financial counterfeiting evaluation module;
the financial counterfeiting evaluation module is used for receiving the matching income sum, the non-matching income sum, the matching expenditure sum and the non-matching expenditure sum sent by the financial data processing module, counting the risk coefficients of financial counterfeiting between the enterprise to be detected and other enterprises with transaction and going according to the matching income sum, the non-matching income sum, the matching expenditure sum and the non-matching expenditure sum, wherein the higher the risk coefficient of financial counterfeiting is, the higher the risk of more or less than the enterprise financial is in tax payment, comparing the counted risk coefficient of financial counterfeiting of the enterprise to be detected with the risk coefficient threshold value of financial counterfeiting stored in the transaction storage database, and sending the comparison result and the risk coefficient of financial counterfeiting of the enterprise to be detected to the display terminal;
and the display terminal is used for receiving the comparison result sent by the financial counterfeiting evaluation module and the risk coefficient of the financial counterfeiting of the enterprise to be detected and displaying the comparison result and the risk coefficient.
Further, establishing income basic sum set A corresponding to each enterprise namei(ai1,ai2,...,aif,...,aip)，aif represents the amount corresponding to the f income under the ith enterprise name; establishing a expenditure basic sum set B corresponding to the enterprise expenses to be detected to each enterprise namei(bi1,bi2,...,big,...,biw)，biAnd g represents the amount from the g actual expenditure of the enterprise to the ith enterprise name to be detected.
Further, the calculation formula of the sum of the matched income amount
Figure BDA0002412898320000041
Formula for calculating sum of unmatched income sums
Figure BDA0002412898320000042
Calculation formula for matching sum of expenditure amount
Figure BDA0002412898320000043
Calculation formula of unmatched expenditure sum
Figure BDA0002412898320000044
A matching revenue amount, E ', representing the amount of the revenue amount and the actual revenue amount and the transaction time are all the same'iExpressed as the sum of unmatched income amounts, F, with the income amount being different from the actual income amount or with the transaction time being differentiIs expressed as a matching payout amount sum, F ', of the same payout amount as the actual payout amount and the same transaction time'iRepresented as a sum of unmatched payout amounts where the payout amount differs from the amount of the actual payout amount or where the transaction time differs,
Figure BDA0002412898320000045
expressed as the case where the amount corresponding to the f-th income under the ith business name matches the actual income amount value and the amount corresponding to the matched f-th income matches the transaction time of the actual income amount,
Figure BDA0002412898320000046
expressed as a case where the amount corresponding to the f-th income under the ith business name does not match the actual income amount value or the amount corresponding to the f-th income matching the actual income amount value does not match the transaction time of the actual income amount,
Figure BDA0002412898320000051
expressed as the condition that the amount corresponding to the g-th expenditure under the ith enterprise name is matched with the actual expenditure amount value and the matched amount corresponding to the g-th expenditure is matched with the transaction time of the actual expenditure amount,
Figure BDA0002412898320000052
the situation is shown as that the amount corresponding to the g-th expenditure under the ith enterprise name is not matched with the actual expenditure amount value or the matched amount corresponding to the f-th expenditure is not matched with the transaction time of the actual expenditure amount.
Further, the risk coefficient of the financial counterfeiting is calculated by the formula
Figure BDA0002412898320000053
E is a natural number, E'iExpressed as the sum of unmatched income amounts, F, with the income amount being different from the actual income amount or with the transaction time being differentiIs expressed as a matching payout amount sum, F ', of the same payout amount as the actual payout amount and the same transaction time'iRepresented as a sum of unmatched payout amounts where the payout amount differs from the actual payout amount or where the transaction time differs.
The invention has the beneficial effects that:
according to the enterprise financial counterfeiting identification system based on the big data, whether income and expenditure amount on the enterprise financial statement to be detected are matched with actual income and actual expenditure or not can be analyzed through transaction information of the enterprise to be detected and other enterprises with transaction current, and matched income and actual income and expenditure and transaction time of actual expenditure are extracted to further determine whether the transaction information is matched or not, so that identification of real financial data is realized, and accuracy and efficiency of financial counterfeiting identification are improved;
through financial affairs make fake evaluation module to match income amount and, non-matching income amount and, match expenditure amount and non-matching expenditure amount and carry out analysis processes, obtain the risk coefficient of waiting to detect the financial affairs of enterprise and making fake, can respond directly perceivedly and wait to detect the financial risk situation that the enterprise corresponds, be convenient for provide reliable data support for later stage enterprise financial management.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced 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 big data-based enterprise financial counterfeiting identification system according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the enterprise financial counterfeiting identification system based on big data comprises a financial information acquisition module, a report extraction module, a financial logic association module, a transaction storage database, a financial counterfeiting identification module, a financial data processing module, a financial counterfeiting evaluation module and a display terminal;
the financial logic association module is respectively connected with the financial information acquisition module, the report extraction module, the transaction storage database and the financial counterfeiting identification module, the financial counterfeiting identification module is respectively connected with the transaction storage database and the financial data processing module, and the financial counterfeiting evaluation module is respectively connected with the transaction storage database, the financial data processing module and the display terminal.
The financial information acquisition module is used for acquiring financial information of income and expenditure of an enterprise in real time and sending the financial information of income and expenditure to the financial logic association module, wherein the income financial information comprises income amount, transferred enterprise name, transferred time and the like, and the expenditure financial information comprises expenditure amount, expenditure enterprise name, expenditure time and the like;
sequencing the business names according to the accumulated sum of income and expenditure amounts corresponding to the business names from large to small, wherein the sum is 1,2, a. Sequencing expenses under the same enterprise name according to the time sequence of the expense amount, wherein the sequence is 1,2, a.
Establishing income basic sum set A corresponding to each enterprise namei(ai1,ai2,...,aif,...,aip)，aif represents the amount corresponding to the f income under the ith enterprise name;
establishing a expenditure basic sum set B corresponding to the enterprise expenses to be detected to each enterprise namei(bi1,bi2,...,big,...,biw)，big is expressed as to be detectedThe amount of the ith actual expenditure to the ith business name;
the report extraction module is used for acquiring financial reports of enterprises in real time, extracting enterprise transaction information in the financial reports of the enterprises and sending the extracted enterprise transaction information to the financial logic association module, wherein the enterprise transaction information comprises money, enterprise names, income or expenditure time and the like.
The financial logic association module is used for receiving the financial information of income and expenditure of the enterprise sent by the financial information acquisition module, receiving enterprise transaction information in an enterprise report sent by the report extraction module, establishing association between the income and the expenditure according to enterprise names in the financial information of the income and the expenditure, simultaneously extracting enterprise names in the enterprise transaction information in the enterprise report, establishing association between the enterprise names in the financial information of the income and the expenditure and the enterprise transaction information in the enterprise report which is the same as the enterprise name, and respectively sending the transaction information of the income and the expenditure corresponding to the enterprise names in the transaction information of the income and the expenditure and the enterprise transaction information corresponding to the enterprise names in the enterprise report which is the same as the enterprise name to the financial counterfeiting identification module and the transaction storage database;
the transaction storage database is used for storing all income and expenditure amounts of the enterprise to be detected, transaction time corresponding to the income and expenditure amounts and risk coefficient threshold values of risk counterfeiting, and actual income amount sets C are respectively established for income and expenditure amounts between enterprises having transaction with the enterprise to be detectedi(ci1,ci2,...,cif,...,cip) and the set of actual expenditure amounts Di(di1,di2,...,dig,...,diw)，cif denotes the f income amount corresponding to the i enterprise name, ciAnd g represents the amount from the g actual expenditure of the enterprise to the ith enterprise name to be detected.
The financial counterfeiting identification module is used for receiving the transaction information of income and expense corresponding to the business name in the transaction information of income and expense sent by the financial logic association module and the business in the business report form with the same business nameEnterprise transaction information corresponding to the name, and income amount a in the transaction information of income and expenditure is extractedif. Amount of expenditure big, the amount of each income a to be extractedif and a payout amount big comparing the actual income amount and the actual expenditure amount corresponding to the enterprise name in the transaction storage database one by one, judging whether the amount is matched with the transaction time, and if the income amount a is matched with the actual expenditure amountif matching each actual income amount and paying out amount big, matching with each actual expenditure amount, judging whether the matched income amount is the same as the transaction time corresponding to the actual income amount, judging whether the matched expenditure amount is the same as the transaction time corresponding to the actual expenditure amount, and sending the income amount and expenditure amount which are the same as the transaction amount and have the same transaction time, different transaction amounts or different transaction times to the financial data processing module;
the financial data processing module is used for receiving income amount and expenditure amount which are sent by the numerical value comparison and identification module and have the same transaction amount and the same transaction time, and income amount and expenditure amount which have different transaction amounts or different transaction times, and counting the income amount aif and the actual income amount ciA matching income amount and E, wherein the amount of f (1, 2,.., p) is the same and the transaction time is the sameiAnd a non-matching revenue amount and E 'having a revenue amount different from the actual revenue amount or different from the transaction time'iCounting the payout amount big and the actual payout amount diA matching payout amount F where the amount of g (1, 2.., w) is the same and the transaction time is the sameiAnd a non-matching payout amount and F 'having a payout amount different from the amount of the actual payout amount or different from the transaction time'iThe financial data processing module sends the matched income sum, the unmatched income sum, the matched expenditure sum and the unmatched expenditure sum to the financial counterfeiting evaluation module;
wherein the content of the first and second substances,
Figure BDA0002412898320000091
Figure BDA0002412898320000092
a matching revenue amount, E ', representing the amount of the revenue amount and the actual revenue amount and the transaction time are all the same'iExpressed as the sum of unmatched income amounts, F, with the income amount being different from the actual income amount or with the transaction time being differentiIs expressed as a matching payout amount sum, F ', of the same payout amount as the actual payout amount and the same transaction time'iRepresented as a sum of unmatched payout amounts where the payout amount differs from the amount of the actual payout amount or where the transaction time differs,
Figure BDA0002412898320000093
expressed as the case where the amount corresponding to the f-th income under the ith business name matches the actual income amount value and the amount corresponding to the matched f-th income matches the transaction time of the actual income amount,
Figure BDA0002412898320000094
expressed as a case where the amount corresponding to the f-th income under the ith business name does not match the actual income amount value or the amount corresponding to the f-th income matching the actual income amount value does not match the transaction time of the actual income amount,
Figure BDA0002412898320000095
expressed as the condition that the amount corresponding to the g-th expenditure under the ith enterprise name is matched with the actual expenditure amount value and the matched amount corresponding to the g-th expenditure is matched with the transaction time of the actual expenditure amount,
Figure BDA0002412898320000096
the situation is shown as that the amount corresponding to the g-th expenditure under the ith enterprise name is not matched with the actual expenditure amount value or the matched amount corresponding to the f-th expenditure is not matched with the transaction time of the actual expenditure amount.
The financial counterfeiting evaluation module is used for receiving the matching income sum, the non-matching income sum, the matching expenditure sum and the non-matching expenditure sum sent by the financial data processing module, counting the risk coefficients of financial counterfeiting between the enterprise to be detected and other enterprises with transaction and going according to the matching income sum, the non-matching income sum, the matching expenditure sum and the non-matching expenditure sum, wherein the risk coefficients of financial counterfeiting are larger, the risk of more or less paying of the enterprise financial is larger when the enterprise taxes, the counted risk coefficients of financial counterfeiting of the enterprise to be detected are compared with the risk coefficient threshold value of financial counterfeiting stored in the transaction storage database, and the comparison result and the risk coefficients of financial counterfeiting of the enterprise to be detected are sent to the display terminal.
Wherein, the calculation formula of the risk coefficient of the financial counterfeiting is
Figure BDA0002412898320000101
E is a natural number, E'iExpressed as the sum of unmatched income amounts, F, with the income amount being different from the actual income amount or with the transaction time being differentiIs expressed as a matching payout amount sum, F ', of the same payout amount as the actual payout amount and the same transaction time'iRepresented as a sum of unmatched payout amounts where the payout amount differs from the actual payout amount or where the transaction time differs.
The display terminal is used for receiving the comparison result sent by the financial counterfeiting evaluation module and the risk coefficient of the financial counterfeiting of the enterprise to be detected, and displaying the comparison result and the risk coefficient, so that the enterprise management personnel can directly know the risk coefficient of the financial counterfeiting of the enterprise.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (4)

1. The utility model provides an enterprise financial affairs are forged identification system based on big data which characterized in that: the system comprises a financial information acquisition module, a report extraction module, a financial logic association module, a transaction storage database, a financial counterfeiting identification module, a financial data processing module, a financial counterfeiting evaluation module and a display terminal;
the financial logic association module is respectively connected with the financial information acquisition module, the report extraction module, the transaction storage database and the financial counterfeiting identification module, the financial counterfeiting identification module is respectively connected with the transaction storage database and the financial data processing module, and the financial counterfeiting evaluation module is respectively connected with the transaction storage database, the financial data processing module and the display terminal;
the financial information acquisition module is used for acquiring the financial information of income and expenditure of an enterprise in real time and sending the financial information of income and expenditure to the financial logic association module;
the report extraction module is used for acquiring the financial reports of the enterprises in real time, extracting enterprise transaction information in the financial reports of the enterprises and sending the extracted enterprise transaction information to the financial logic association module;
the financial logic association module is used for receiving the income and expense financial information of the enterprise sent by the financial information acquisition module, receiving enterprise transaction information in an enterprise report sent by the report extraction module, establishing the association between the income and the expense according to the enterprise name in the income and expense financial information, simultaneously extracting the enterprise name in the enterprise transaction information in the enterprise report, establishing the association between the enterprise name in the income and expense financial information and the enterprise transaction information in the enterprise report, which is the same as the enterprise name, and respectively sending the income and expense transaction information corresponding to the enterprise name in the income and expense transaction information and the enterprise transaction information corresponding to the enterprise name in the enterprise report, which is the same as the enterprise name, to the financial counterfeiting identification module and the transaction storage database;
the transaction storage database is used for storing all income and expenditure amounts of the enterprise to be detected, transaction time corresponding to the income and expenditure amounts and risk coefficient threshold values of risk counterfeiting, and actual income amount sets C are respectively established for income and expenditure amounts between enterprises having transaction with the enterprise to be detectedi(ci1,ci2,...,cif,...,cip) and the set of actual expenditure amounts Di(di1,di2,...,dig,...,diw)，cif denotes the f income amount corresponding to the i enterprise name, cig represents the amount from the g actual expenditure of the enterprise to be detected to the ith enterprise name;
the financial counterfeiting identification module is used for receiving the income and expense transaction information corresponding to the enterprise name in the income and expense transaction information sent by the financial logic association module and the enterprise transaction information corresponding to the enterprise name in the enterprise report form with the same enterprise name, and extracting the income amount a in the income and expense transaction informationif. Amount of expenditure big, the amount of each income a to be extractedif and a payout amount big comparing the actual income amount and the actual expenditure amount corresponding to the enterprise name in the transaction storage database one by one, judging whether the amount is matched with the transaction time, and if the income amount a is matched with the actual expenditure amountif matching each actual income amount and paying out amount big, matching with each actual expenditure amount, judging whether the matched income amount is the same as the transaction time corresponding to the actual income amount, judging whether the matched expenditure amount is the same as the transaction time corresponding to the actual expenditure amount, and sending the income amount and expenditure amount which are the same as the transaction amount and have the same transaction time, different transaction amounts or different transaction times to the financial data processing module;
the financial data processing module is used for receiving income amount, expenditure amount and income amount and expenditure amount with the same transaction amount and the same transaction time which are sent by the numerical value comparison and identification module, and counting the matching income amount and E with the same transaction time and the same income amount and the same actual income amountiAnd a non-matching income amount and E, the income amount being different from the actual income amount or the transaction time being differenti', matching payout amounts and F in which the statistical payout amount and the actual payout amount are the same and the transaction time is the sameiAnd pay out goldUnmatched payout amounts and F having amounts different from the actual payout amount or different from the transaction timei' the financial data processing module sends the matched income sum, the unmatched income sum, the matched expenditure sum and the unmatched expenditure sum to the financial counterfeiting evaluation module;
the financial counterfeiting evaluation module is used for receiving the matching income sum, the non-matching income sum, the matching expenditure sum and the non-matching expenditure sum sent by the financial data processing module, counting the risk coefficients of financial counterfeiting between the enterprise to be detected and other enterprises with transaction and going according to the matching income sum, the non-matching income sum, the matching expenditure sum and the non-matching expenditure sum, wherein the higher the risk coefficient of financial counterfeiting is, the higher the risk of more or less than the enterprise financial is in tax payment, comparing the counted risk coefficient of financial counterfeiting of the enterprise to be detected with the risk coefficient threshold value of financial counterfeiting stored in the transaction storage database, and sending the comparison result and the risk coefficient of financial counterfeiting of the enterprise to be detected to the display terminal;
and the display terminal is used for receiving the comparison result sent by the financial counterfeiting evaluation module and the risk coefficient of the financial counterfeiting of the enterprise to be detected and displaying the comparison result and the risk coefficient.
2. The big data-based enterprise financial counterfeiting identification system according to claim 1, wherein: establishing income basic sum set A corresponding to each enterprise namei(ai1,ai2,...,aif,...,aip)，aif represents the amount corresponding to the f income under the ith enterprise name; establishing a expenditure basic sum set B corresponding to the enterprise expenses to be detected to each enterprise namei(bi1,bi2,...,big,...,biw)，biAnd g represents the amount from the g actual expenditure of the enterprise to the ith enterprise name to be detected.
3. The big data-based enterprise financial counterfeiting identification system according to claim 1, wherein: the piece of clothFormula for calculating sum of allocated income and amount
Figure FDA0002412898310000031
Formula for calculating sum of unmatched income sums
Figure FDA0002412898310000032
Calculation formula for matching sum of expenditure amount
Figure FDA0002412898310000033
Calculation formula of unmatched expenditure sum
Figure FDA0002412898310000034
A sum of matching income amounts expressed as the amount of the income amount and the actual income amount and the transaction time being the same, Ei' is represented by a sum of unmatched income amounts, FiA matching payout amount sum, F, expressed as the sum of the payout amount and the actual payout amount and having the same transaction timei' is expressed as a non-matching payout amount sum in which the payout amount is different from the amount of the actual payout amount or the transaction time is different,
Figure FDA0002412898310000041
expressed as the case where the amount corresponding to the f-th income under the ith business name matches the actual income amount value and the amount corresponding to the matched f-th income matches the transaction time of the actual income amount,
Figure FDA0002412898310000042
expressed as a case where the amount corresponding to the f-th income under the ith business name does not match the actual income amount value or the amount corresponding to the f-th income matching the actual income amount value does not match the transaction time of the actual income amount,
Figure FDA0002412898310000043
denoted as the ith enterpriseThe amount corresponding to the g-th expenditure under the name is matched with the actual expenditure amount value, and the matched amount corresponding to the g-th expenditure is matched with the transaction time of the actual expenditure amount,
Figure FDA0002412898310000044
the situation is shown as that the amount corresponding to the g-th expenditure under the ith enterprise name is not matched with the actual expenditure amount value or the matched amount corresponding to the f-th expenditure is not matched with the transaction time of the actual expenditure amount.
4. The big data-based enterprise financial counterfeiting identification system according to claim 1, wherein: the calculation formula of the risk coefficient of the financial counterfeiting is
Figure FDA0002412898310000045
E is a natural number, Ei' is represented by a sum of unmatched income amounts, FiA matching payout amount sum, F, expressed as the sum of the payout amount and the actual payout amount and having the same transaction timei' is expressed as a non-matching payout amount sum with a payout amount that is different from the amount of the actual payout amount or different from the transaction time.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112150265A (en) * 2020-10-15 2020-12-29 信阳农林学院 Enterprise financial counterfeiting identification system based on big data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112150265A (en) * 2020-10-15 2020-12-29 信阳农林学院 Enterprise financial counterfeiting identification system based on big data

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