CN109377050A - One kind being based on risk analysis and AI artificial intelligence model risk analysis method - Google Patents
One kind being based on risk analysis and AI artificial intelligence model risk analysis method Download PDFInfo
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Abstract
The invention discloses one kind to be based on risk analysis and AI artificial intelligence model risk analysis method, belong to AI field of artificial intelligence, establish tax risk feature database, according to existing artificial experience, risk indicator model is established for the risk point of different industries, the different tax category, and accumulates tax risk feature database；Autonomous learning method is established, is required independently to establish index model according to the tax policy, and independently propose New Set model according to the new tax policy；Establish index optimization mechanism, establish setting-verifying-popularization index optimization mechanism, the index model that artificial intelligence system is proposed, validity is independently verified in the past case, or risk resolution personnel is assigned to verify, evaluation result determines whether the index model enters tax risk analysis feature database.The present invention completes model checking, the precision of continuous lift scheme using AI artificial intelligence study tax risk analysis model and autonomous constantly study.
Description
Technical field
The present invention relates to a kind of risk analysis methods, are based on risk analysis and AI artificial intelligence model more particularly to one kind
Risk analysis method belongs to AI field of artificial intelligence.
Background technique
In recent years, with the rapid development of economy, large enterprises are most to realize inter-trade, trans-regional or even transnational business,
Transaction and the increasingly sophisticated multiplicity of operation flow, tax risk keyholed back plate difficulty is increasing, and the generation of tax risk is be unable to do without
The practice of execution, the tax collection and administration of laws on tax collection regulation.
But manual analysis tax analysis not only great work intensity, but also data are more and more huger, face new data, again
A set of new feature of risk index is developed, workload is too big and expends the time, for this reason, it may be necessary to quickly instant analysis current number
According to timely update risk indicator, needs to establish a set of autonomous learning method, being capable of unusual condition existing for intellectual analysis and timely
Judge value-at-risk.
Summary of the invention
The main object of the present invention is to provide for a kind of based on risk analysis and AI artificial intelligence model risk analysis side
Method completes model checking using artificial intelligence study tax risk analysis model and autonomous constantly study, continuous lift scheme
Precision.
The purpose of the present invention can reach by using following technical solution:
One kind being based on risk analysis and AI artificial intelligence model risk analysis method, includes the following steps:
Step 1: tax risk feature database is established, according to existing artificial experience, for different industries, the risk of the different tax category
Point establishes risk indicator model, and accumulates tax risk feature database；
Step 2: establishing autonomous learning method, required independently to establish index model according to the tax policy, and according to new tax revenue
Policy independently proposes New Set model；
Step 3: establishing index optimization mechanism, setting-verifying-popularization index optimization mechanism is established, to artificial intelligence system
The index model that system proposes independently verifies validity in the past case, or risk resolution personnel is assigned to verify, and comments
Valence result determines whether the index model enters tax risk analysis feature database.
Further, the step of establishing feature of risk library is as follows:
Step 1.1: according to enterprise's the industry, production and management, deferring to wish, the fundamentals of management and defer to ability, wealth
Business accounting standard degree, in recent years tax declaration data, internet third party information etc., carry out risk preliminary assessment, formulate risk
Point；
Step 1.2: extracting enterprise's several risk points that may be present, divided by involved transaction or service link
Class is integrated, according to whether declaring, whether the time is overdue, whether the amount of money is full-amount, makes a report on error in data quantity, overdue time standard
Difference, the amount of money lack the problems such as standard deviation, abnormal section taxpayer's summation, abnormal section taxpayer's coefficient of variation, take risk threshold values,
Formulate risk indicator；
Step 1.3: with the methods of audit, screening, analysis, comparison, reasoning, calculating, judgement, qualitative, quantitative, according to wind
Dangerous index makes preliminary judgement to business risk item one by one, carries out risk identification and grading, creates various risks index mould
Type；
Step 1.4: determining tax risk spy in conjunction with revenue data library, various risks index model and risk assessment social estate system
Levy library.
Further, the process of AI artificial intelligence autonomous learning reinforcing risk indicator model is as follows:
Step 2.1: establishing the process of segmenting, arrange, being published to knowledge base, segment revenue data library various industries first
The tax category, problem types, time, area, enterprise nature carry out careful division, carry out the classification of systematization, rationalization, then
It is each distinguishing characteristics classified finishing is comprehensive, if to declare, whether the time is overdue, whether the amount of money is full-amount, makes a report on error in data number
Amount, overdue time standard is poor, the amount of money lacks standard deviation, abnormal section taxpayer's summation, exception section taxpayer's coefficient of variation most
After be transferred to tax risk feature database, propose total foundation for computer speech automatic-answering back device；
Step 2.2: according to new feature of risk library, new risk point is formulated, again with audit, screening, analysis, ratio
To the methods of, reasoning, calculating, judgement, qualitative, quantitative, according to new risk indicator, business risk item is made one by one secondary
Judgement, re-starts risk identification and grading, creates new various risks index model, further strengthens various risks index mould
Type；
Further, the process for establishing index optimization mechanism includes the following steps:
Step 3.1: using scanner or other read equipment for model existing in inspection personnel's hand or risk assessment
Conclusion reports sort pass in a standard format into intelligent base；
Step 3.2: sorting out the economic data of the tax policy and relevant industries that crawl from internet；
Step 3.3: the sample that computer is independently applicable according to "current" model according to the tax revenue and industry average data of analysis
Amount setting threshold value, threshold values verify the deviation section of risk indicator；
Step 3.4: index accuracy being verified according to the setting that deviation section carries out real-time stratified sample amount, is transferred to risk
Property data base advanced optimizes various risks index model.
Further, the feature of risk library includes data quality management mechanism and purpose data classifying mechanism, quality of data pipe
Reason mechanism ensures the accuracy that information is collected, purpose data classifying mechanism by measures such as correcting data error, Dynamic Maintenance, daily liquidating and monthly closings
By dividing family, by collecting methods such as family classification by class, reinforces information comparison and verifying, improve the validity of data.
Further, formulating risk indicator and extracting the risk analysis of feature of risk is compared the various information of collection
Compared with special by the basic skills such as inferential statistic and integrality, logicality, fluctuation, proportion property, analogy, reference etc.
Method is analyzed different industries, different type, the tax risk regularity of distribution of different scales enterprise, is summarized and tax revenue exception feelings
Condition has the feature of risk of causal relation.
Further, graphical or listization shows feature of risk library risk feature, feature of risk index and risk
The relationship of characteristic index threshold values is indicated in the form of association analysis table in length and breadth: in transverse direction, arranging out subject of tax payment and qualification phase
It closes, is related to inside control system and history is related, the risks such as related and special object correlation are special with time correlation, with particular specification
Levy classification；On longitudinal direction, including industry, investment subject and production and operation, Investment & Financing, asset management, concerning taxes where taxpayer
The main bodys such as behavior and behavioural characteristic.
Advantageous effects of the invention:
It is provided by the invention to be based on risk analysis and AI artificial intelligence model risk analysis method, using tax risk feature
Library relies on Excel electrical form, have the characteristics that train of thought it is clear, it is well arranged, be easy to compare, convenient for tax staff and enterprise's wealth
Business personnel quickly look-up and study are used.
It is provided by the invention to be based on risk analysis and AI artificial intelligence model risk analysis method, formulate various risks index
Model for the complicated concerning taxes item of Enterprises ' Financial Workers processing and formulates accusing of the measure inside, " sits in the right seat " when improving internal control mechanism,
Correction in time.
It is provided by the invention to be based on risk analysis and AI artificial intelligence model risk analysis method, using AI artificial intelligence mould
Type analysis data, it is more efficient than traditional artificial, and can autonomous classification new data, establish model automatically, automatic evaluation grade,
Constantly model checking, the precision of continuous lift scheme are completed in study.
It is provided by the invention to be based on risk analysis and AI artificial intelligence model risk analysis method, using AI artificial intelligence point
Abnormal data is analysed, risk point can be judged automatically, one by one control investigation, facilitates inspector and quickly searches risk generation original
Cause studies and defines control measure.
Specific embodiment
To make the more clear and clear technical solution of the present invention of those skilled in the art, below with reference to embodiment to this hair
Bright to be described in further detail, embodiments of the present invention are not limited thereto.
It is provided in this embodiment to be based on risk analysis and AI artificial intelligence model risk analysis method, include the following steps:
Step 1: tax risk feature database is established, according to existing artificial experience, for different industries, the risk of the different tax category
Point establishes risk indicator model, and accumulates tax risk feature database；
Step 2: establishing autonomous learning method, required independently to establish index model according to the tax policy, and according to new tax revenue
Policy independently proposes New Set model；
Step 3: establishing index optimization mechanism, setting-verifying-popularization index optimization mechanism is established, to artificial intelligence system
The index model that system proposes independently verifies validity in the past case, or risk resolution personnel is assigned to verify, and comments
Valence result determines whether the index model enters tax risk analysis feature database.
In some embodiments, the step of establishing feature of risk library is as follows:
Step 1.1: according to enterprise's the industry, production and management, deferring to wish, the fundamentals of management and defer to ability, wealth
Business accounting standard degree, in recent years tax declaration data, internet third party information etc., carry out risk preliminary assessment, formulate risk
Point；
Step 1.2: extracting enterprise's several risk points that may be present, divided by involved transaction or service link
Class is integrated, according to whether declaring, whether the time is overdue, whether the amount of money is full-amount, makes a report on error in data quantity, overdue time standard
Difference, the amount of money lack the problems such as standard deviation, abnormal section taxpayer's summation, abnormal section taxpayer's coefficient of variation, take risk threshold values,
Formulate risk indicator；
Step 1.3: with the methods of audit, screening, analysis, comparison, reasoning, calculating, judgement, qualitative, quantitative, according to wind
Dangerous index makes preliminary judgement to business risk item one by one, carries out risk identification and grading, creates various risks index mould
Type；
Step 1.4: determining tax risk spy in conjunction with revenue data library, various risks index model and risk assessment social estate system
Levy library.
In some embodiments, the process of AI artificial intelligence autonomous learning reinforcing risk indicator model is as follows:
Step 2.1: establishing the process of segmenting, arrange, being published to knowledge base, segment revenue data library various industries first
The tax category, problem types, time, area, enterprise nature carry out careful division, carry out the classification of systematization, rationalization, then
It is each distinguishing characteristics classified finishing is comprehensive, if to declare, whether the time is overdue, whether the amount of money is full-amount, makes a report on error in data number
Amount, overdue time standard is poor, the amount of money lacks standard deviation, abnormal section taxpayer's summation, exception section taxpayer's coefficient of variation most
After be transferred to tax risk feature database, propose total foundation for computer speech automatic-answering back device；
Step 2.2: according to new feature of risk library, new risk point is formulated, again with audit, screening, analysis, ratio
To the methods of, reasoning, calculating, judgement, qualitative, quantitative, according to new risk indicator, business risk item is made one by one secondary
Judgement, re-starts risk identification and grading, creates new various risks index model, further strengthens various risks index mould
Type；
In some embodiments, the process for establishing index optimization mechanism includes the following steps:
Step 3.1: using scanner or other read equipment for model existing in inspection personnel's hand or risk assessment
Conclusion reports sort pass in a standard format into intelligent base；
Step 3.2: sorting out the economic data of the tax policy and relevant industries that crawl from internet；
Step 3.3: the sample that computer is independently applicable according to "current" model according to the tax revenue and industry average data of analysis
Amount setting threshold value, threshold values verify the deviation section of risk indicator；
Step 3.4: index accuracy being verified according to the setting that deviation section carries out real-time stratified sample amount, is transferred to risk
Property data base advanced optimizes various risks index model.
In some embodiments, feature of risk library includes data quality management mechanism and purpose data classifying mechanism, the quality of data
Administrative mechanism ensures the accuracy that information is collected, purpose data classifying machine by measures such as correcting data error, Dynamic Maintenance, daily liquidating and monthly closings
System reinforces information comparison and verifying, improves the validity of data by dividing family, by collecting methods such as family classification by class.
In some embodiments, formulate risk indicator extract feature of risk risk analysis be to the various information of collection into
Row compares, and passes through the basic skills such as inferential statistic and integrality, logicality, fluctuation, proportion property, analogy, reference etc.
Ad hoc approach is analyzed different industries, different type, the tax risk regularity of distribution of different scales enterprise, is summarized different with tax revenue
Reason condition has the feature of risk of causal relation.
In some embodiments, graphical or listization shows feature of risk library risk feature, feature of risk index
With the relationship of feature of risk index threshold values, in the form of association analysis table in length and breadth indicate: in transverse direction, arrange out subject of tax payment with
Qualification is related, it is related to inside control system, related with history, with time correlation, it is related with particular specification, with special object correlation etc.
Feature of risk classification；On longitudinal direction, including industry, investment subject and production and operation, Investment & Financing, Assets Reorganization Taking where taxpayer
Main bodys and the behavioural characteristics such as reason, concerning taxes behavior.
In conclusion in the present embodiment, it is provided in this embodiment to be based on risk analysis and AI artificial intelligence model risk
Analysis method completes model checking using AI artificial intelligence study tax risk analysis model and autonomous constantly study, by building
Formwork erection type-reinforcing model-Optimization Mechanism process, the precision of continuous lift scheme, intellectual analysis abnormal data judge automatically
Risk point, control investigation, provides risk threshold value, facilitates inspector and quickly search risk producing cause, study and define one by one
Control measure.
The above, further embodiment only of the present invention, but scope of protection of the present invention is not limited thereto, and it is any
Within the scope of the present disclosure, according to the technique and scheme of the present invention and its design adds those familiar with the art
With equivalent substitution or change, protection scope of the present invention is belonged to.
Claims (7)
1. one kind is based on risk analysis and AI artificial intelligence model risk analysis method, which comprises the steps of:
Step 1: establishing tax risk feature database, according to existing artificial experience, built for the risk point of different industries, the different tax category
Vertical risk indicator model, and accumulate tax risk feature database；
Step 2: establishing autonomous learning method, required independently to establish index model according to the tax policy, and according to the new tax policy
It is autonomous to propose New Set model；
Step 3: establishing index optimization mechanism, establish setting-verifying-popularization index optimization mechanism, artificial intelligence system is mentioned
Index model out independently verifies validity in the past case, or risk resolution personnel is assigned to verify, evaluation knot
Whether decisive and resolute fixed index model enters tax risk analysis feature database.
2. according to claim 1 a kind of based on risk analysis and AI artificial intelligence model risk analysis method, feature
The step of being, establishing feature of risk library is as follows:
Step 1.1: according to enterprise's the industry, production and management, deferring to wish, the fundamentals of management and defer to ability, financial meeting
Meter calculates standard degree, in recent years tax declaration data, internet third party information etc., carries out risk preliminary assessment, formulates risk point；
Step 1.2: extracting enterprise's several risk points that may be present, carry out category set by involved transaction or service link
At according to whether declaring, whether the time is overdue, whether the amount of money is full-amount, it is poor, golden to make a report on error in data quantity, overdue time standard
Volume lacks the problems such as standard deviation, abnormal section taxpayer's summation, abnormal section taxpayer's coefficient of variation, takes risk threshold values, formulates
Risk indicator；
Step 1.3: with the methods of audit, screening, analysis, comparison, reasoning, calculating, judgement, qualitative, quantitative, being referred to according to risk
Mark makes preliminary judgement to business risk item one by one, carries out risk identification and grading, creates various risks index model；
Step 1.4: determining tax risk feature in conjunction with revenue data library, various risks index model and risk assessment social estate system
Library.
3. according to claim 1 a kind of based on risk analysis and AI artificial intelligence model risk analysis method, feature
It is, the process that AI artificial intelligence autonomous learning strengthens risk indicator model is as follows:
Step 2.1: establishing the process of segmenting, arrange, being published to knowledge base, segment the tax of revenue data library various industries first
Kind, problem types, time, area, enterprise nature carry out careful division, carry out the classification of systematization, rationalization, then will
Each distinguishing characteristics classified finishing is comprehensive, if declare, whether the time overdue, whether the amount of money full-amount, make a report on error in data quantity,
Overdue time standard is poor, the amount of money lacks standard deviation, abnormal section taxpayer's summation, abnormal section taxpayer's coefficient of variation finally pass
It is defeated to arrive tax risk feature database, total foundation is proposed for computer speech automatic-answering back device；
Step 2.2: according to new feature of risk library, formulating new risk point, use again and audit, screen, analyzing, comparing, pushing away
The methods of reason, calculating, judgement, qualitative, quantitative, according to new risk indicator, make secondary judgement to business risk item one by one,
Risk identification and grading are re-started, new various risks index model is created, further strengthens various risks index model.
4. according to claim 1 a kind of based on risk analysis and AI artificial intelligence model risk analysis method, feature
It is, the process for establishing index optimization mechanism includes the following steps:
Step 3.1: using scanner or other read equipment for model existing in inspection personnel's hand or the conclusion of risk assessment
Report sort pass in a standard format into intelligent base；
Step 3.2: sorting out the economic data of the tax policy and relevant industries that crawl from internet；
Step 3.3: computer is independently set according to the sample size that "current" model is applicable according to the tax revenue and industry average data of analysis
Threshold value is set, threshold values verifies the deviation section of risk indicator；
Step 3.4: index accuracy being verified according to the setting that deviation section carries out real-time stratified sample amount, is transferred to feature of risk
Database advanced optimizes various risks index model.
5. according to claim 1 a kind of based on risk analysis and AI artificial intelligence model risk analysis method, feature
It is, the feature of risk library includes data quality management mechanism and purpose data classifying mechanism, and data quality management mechanism passes through number
According to measures such as error correction, Dynamic Maintenance, daily liquidating and monthly closings, ensure the accuracy that information is collected, purpose data classifying mechanism by by class divide family,
By collecting methods such as family classification, reinforces information comparison and verifying, improve the validity of data.
6. according to claim 1 a kind of based on risk analysis and AI artificial intelligence model risk analysis method, feature
It is, formulating risk indicator and extracting the risk analysis of feature of risk is compared to the various information of collection, is united by reasoning
The basic skills such as meter and the ad hoc approach such as integrality, logicality, fluctuation, proportion property, analogy, reference, analysis are different
Industry, different type, the tax risk regularity of distribution of different scales enterprise, summarizing has causal relation with tax revenue abnormal conditions
Feature of risk.
7. according to claim 1 a kind of based on risk analysis and AI artificial intelligence model risk analysis method, feature
It is, graphical or listization shows feature of risk library risk feature, feature of risk index and feature of risk index threshold values
Relationship, indicated in the form of association analysis table in length and breadth: in transverse direction, arranging out that subject of tax payment is related to qualification, and interior control
Spend the feature of risk classifications such as related, related to history, and special object correlation related with time correlation and particular specification；It is longitudinal
On, including the main bodys such as industry, investment subject and production and operation, Investment & Financing, asset management, concerning taxes behavior where taxpayer and
Behavioural characteristic.
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Cited By (8)
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| CN109992657A (en) * | 2019-04-03 | 2019-07-09 | 浙江大学 | A kind of interactive problem generation method based on reinforcing Dynamic Inference |
| CN110033191A (en) * | 2019-04-16 | 2019-07-19 | 北京殷塞信息技术有限公司 | A kind of analysis method and system of business artificial intelligence |
| CN110119976A (en) * | 2019-03-27 | 2019-08-13 | 民生科技有限责任公司 | A kind of risk checking method based on transaction risk feature database |
| CN111598488A (en) * | 2020-06-30 | 2020-08-28 | 新奥（中国）燃气投资有限公司 | Tax risk monitoring method and device and computer storage medium |
| CN111798102A (en) * | 2020-06-11 | 2020-10-20 | 中国建设银行股份有限公司 | Data supervision method, system, computer equipment and readable storage medium |
| CN111932268A (en) * | 2020-08-03 | 2020-11-13 | 中国工商银行股份有限公司 | Enterprise risk identification method and device |
| CN112308693A (en) * | 2020-11-03 | 2021-02-02 | 桂林格林拜尔网络科技有限公司 | Finance and tax optimization system and method based on big data |
| CN113283780A (en) * | 2021-06-09 | 2021-08-20 | 四川云栖智海大数据科技研究院(有限合伙) | Tax risk analysis system and method based on enterprise internal and external environment big data |
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| CN110119976A (en) * | 2019-03-27 | 2019-08-13 | 民生科技有限责任公司 | A kind of risk checking method based on transaction risk feature database |
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| CN111932268A (en) * | 2020-08-03 | 2020-11-13 | 中国工商银行股份有限公司 | Enterprise risk identification method and device |
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| CN112308693A (en) * | 2020-11-03 | 2021-02-02 | 桂林格林拜尔网络科技有限公司 | Finance and tax optimization system and method based on big data |
| CN113283780A (en) * | 2021-06-09 | 2021-08-20 | 四川云栖智海大数据科技研究院(有限合伙) | Tax risk analysis system and method based on enterprise internal and external environment big data |
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