TW201501067A - Sentencing method and system - Google Patents

Abstract

This invention relates to a sentencing method and system, which includes the following steps: an article selection step, which selects applicable articles according to crime details of an offender; an offender type determination step, which determines the type of the offender; a past court decision search step, which, based on search criteria determined from the results of the previous steps, searches a database to identify past court decisions that meet the search criteria; a reference sentencing value obtaining step, which obtains a reference sentencing value according to the past court decisions; a sentencing setting, related matter including/excluding, and weight setting step, which determines setting of sentencing value and including/excluding and weighting of related matters; a suggested sentencing value obtaining step, which, based on the reference sentencing value and weighting, calculates and obtains a suggested sentencing value; and a suggested sentencing value adjusting step, which makes a final adjustment of the suggested sentencing value.

Description

Sentencing method and system

The present invention relates to a method and system for sentencing, and more particularly to a method and system for sentencing based on a large number of judgments stored in a database to provide a judgment of judgment.

The Taiwan Supreme Court currently has a sentencing information system set up for specific types of crimes. The actual presentation of the judgment data in accordance with the laws, elements, plots, etc. selected by the user interface, and the similar judgments over the years. The distribution of sentence period, but the sentencing information system currently only has a basic average point of falling, which is an extension of the database, that is, does not contain a set of calculus model, not a method of sentencing, there may be no search results. In addition, the sentencing information system can only present information on the judgments of previous years, and there is no interactive mechanism, and thus provide the recommended penalty for reference. Moreover, the interface of the system is too large, and the proper operation flow is not designed, resulting in slow data reading.

In addition, a sentencing decision support system (public number: TW 201241779 A1) is known, which is available for the sentencing decision support system. The user is used as a simulation application for the sentencing judgment. However, the sentencing decision support system does not distinguish the type of the perpetrator according to the law. In addition, the sentencing decision support system regards the discretionary and subject matter of the sentence as the search condition. Retrieving the judgments over the years, but the discretion of the penalty and the addition and subtraction are generally at the final discretion in sentencing, and the design of the sentencing process obviously does not meet the judge's sentencing logic.

The present invention has been made in view of the above problems, and aims to provide a method and system for sentencing, which can be quickly obtained by a humanized user (such as a judge, a reviewer, etc.) interface, as a reference for the proposed sentence of the judge's sentencing logic, and At the same time, there is a mechanism for the examiner to carry out further operations, which can present the sentencing results of the opinions of both the judges and the examiners, so as to maintain the consistency and stability of sentencing.

In order to achieve the above object, the sentencing method of the present invention performs the following steps in a system for performing data exploration: a method for selecting a rule of law, which is set on a user interface in a system for performing data mining, according to the perpetrator The criminal circumstances choose the applicable law; the criminal actor type determines the step, determines the type of the criminal actor on the user interface; the judgment step of the ruling year, the result of the applicable rule selection step and the criminal actor type decision step as the search condition In the database stored in the system and having the judgment of the previous year, the judgment of the qualified condition is retrieved; the step of obtaining the reference value of the sentence is judged, and the judgment sentence of the judgment retrieved according to the judgment step of the previous year is obtained, and the reference value of the sentence is obtained. For output to the user interface; criminal discretion and addition and subtraction related matters and weight setting steps, use In the interface, the matters related to the discretion of the penalty and the addition and subtraction are set, and the weights of the set items are determined; the steps for obtaining the recommended value of the sentence are determined, and the recommended value of the sentence is obtained by calculation according to the benchmark value and weight of the sentence, and is output for use. Interface; and the steps to adjust the recommended value of the sentence, making final adjustments to the proposed value of the sentence.

Accordingly, since the type of the criminal actor determined by the selected applicable law is used as the retrieval condition, the highly relevant judgment can be retrieved, thereby improving the reliability of the obtained judgment period reference value. Furthermore, since the discretionary matters of the sentence and the related matters of the addition and subtraction and the corresponding weights can be further set to further adjust the above-mentioned calculated judgment period reference value, it is possible to obtain a proposed sentence period in which the judge's discretion is quantified and taken into consideration. It is also possible to make final adjustments to this proposed sentence, which is in line with the logic of trial.

In addition, the sentencing method according to the present invention further includes the following steps in the user interface: the first selection step selects one of the main criminal law and the auxiliary criminal law of the criminal law; Steps: Select the regulations in the main criminal law or the regulations or related laws in the supplementary criminal law; and the third selection step to select the applicable law.

Accordingly, in the applicable rule selection step, since the applicable law is selected in order from the legal framework to the fine classification, it is very convenient to operate and conform to the legal principle, and the applicable law can be quickly selected.

Further, the sentencing method according to the present invention further includes the following steps in the criminal actor type determining step: the first determining step of determining whether the criminal actor is a recidivist; and the second determining step of determining the criminal behavior Whether people are accomplices, instigators, help The guilty, the number of crimes with the same crimes, or the number of crimes with different crimes combined with punishment; and in the calendar year judgment search step further includes the following steps: the first search step, the applicable rule selection step and the first decision The result of the step is searched as a search condition; and the second search step searches for the result of the first search step by applying the result of the rule selection step and the second decision step as search conditions.

According to this, in the decision-making procedure of the perpetrator type, the search is carried out by using the applicable applicable law plus whether it is a recidivism as a watershed, and further whether it is an accomplice, an instigator, a helper, and the crime of the same crime. And the punishment, or the number of crimes with different crimes as a part of the classification to conduct a search, so in the case of secondary screening of the previous year's judgment data, the more detailed judgment of the sentence of the sentence can be retrieved.

Furthermore, the sentencing method according to the present invention obtains the individual judgment sentence reference value in the judgment period reference value obtaining step, which is respectively based on the first retrieval step and the second retrieval step.

In addition, the sentencing method according to the present invention obtains the average value after the removal of the extreme value of the sentence of the previous year judgment retrieved by the calculation of the previous year judgment search step, and uses the reference value as the subsequent weighting or Increase or decrease the basis of his sentence.

The purpose of calculating the average value is to find out the average sentence of the judgments over the years, and to make further calculations for the formula model described later, which is helpful for the stabilization of the overall sentence. In addition, the reference value can also be used as the benchmark value of the final judgment sentence, and the reference value is not limited to the above average The value can also be the maximum value, the minimum value, and the like.

In addition, the sentencing method according to the present invention further performs a calendar year decision information output step, and outputs, on the user interface, information related to the calendar year judgment retrieved by the calendar year judgment search step; the information includes the sentence period of the calendar year judgment, and is distributed The chart is presented in a graphical manner, and the content of the judgment in the icon-linked database representing the sentence of each calendar year is displayed on the distribution chart.

Accordingly, since the user interface outputs information related to the calendar year judgment retrieved by the previous year judgment retrieval step, such as the sentence period of the previous year judgment, and presents it in an appropriate manner, and has the design of the judgment sentence in the convenient connection database, It can greatly enhance the visibility and convenience of users such as judges and observers.

In addition, the sentencing results of the sentencing method according to the present invention (for example, the sentencing recommendation value and the information related to the previous year's judgment, etc.) will be presented to the observer in a more detailed description, and the interviewer's use interface is additionally provided. For example, the "I want to speak" button, etc., for the reviewers to make further recommendations on the judgement's sentencing results in accordance with the regulations. In this case, the result of the auditor's operation will be attached to the sentencing result of the judgment even if it is transmitted to the judge's user interface.

The above-mentioned information related to the previous years' judgments is not limited to the sentence period of the previous year's judgment, but also the date of the judgment, the cause of the case, and the like.

Furthermore, the aforementioned sentence judgment value in the sentencing method according to the present invention is obtained by the following formula model:

Penalty _final = Penalty - R ...2

Where S = { S _i : S _i N , S _i >0, S _i Penalty _uqper }, W ={ W _j : W _j Q }, Penalty _lower Penalty Penalty _upper , R N , R >0

n: the number of judgments of the calendar year retrieved; S: the collection of sentences for the years of judgment; m: the number of disciplinary subjects and the number of items related to addition and subtraction

W: a collection of weights

R: The final adjustment of the sentence

Penalty: the recommended value of the sentence before the final adjustment

Penalty _lower : the maximum sentence of the applicable law

Penalty _upper : the minimum sentence for the applicable law

Penalty _final : the final adjusted sentence for the final sentence

In addition, in order to achieve the above object, the sentencing system of the present invention includes a user terminal device and a server device for performing the above-described sentencing method.

In addition, the sentencing method according to the present invention uses HTML5 and CSS3 to present the user interface in the client device, and uses the JSON package to communicate the required data with the program in the server device, and uses AJAX technology to retrieve the required data. Combine with the program in the server device to retrieve the database.

In the technical level of system construction, it is not limited to AJAX technology, as long as it has a user-friendly interface, and can quickly obtain the required data from a database containing a large amount of data in the server device. The technology can be developed for any user interface.

In addition to the above-described advantages, those skilled in the art to which the present invention pertains will be able to.

100‧‧‧User equipment

110‧‧‧User interface

120‧‧‧Common data analysis and processing engine

200‧‧‧Server-side device

210‧‧‧Server

220‧‧‧Database

230‧‧‧ Back-end processing system

240‧‧‧Retention system

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a block diagram of an embodiment of a sentencing system in accordance with the present invention.

Fig. 2 is a flow chart showing an embodiment of the sentencing method according to the present invention.

Fig. 3A is a flow chart showing the selection of the applicable law of an embodiment of the sentencing method according to the present invention.

Fig. 3B is a flow chart for determining the type of criminal actor according to an embodiment of the sentencing method of the present invention.

4A through 4D are schematic diagrams of user interfaces for selection of applicable law strips in accordance with an embodiment of the sentencing method of the present invention.

Figure 5 is a schematic diagram of a user interface for determining the type of criminal perpetrator in accordance with one embodiment of the sentencing method of the present invention.

Figure 6 is a schematic diagram of the user interface of the discretionary subject matter and the addition and subtraction related matters and weights according to an embodiment of the sentencing method of the present invention.

Figure 7 is a schematic illustration of a user interface as shown by the results of an embodiment of the sentencing method of the present invention.

8A to 8E illustrate one of the methods of sentencing according to the present invention Example.

Figures 9A through 9F illustrate another embodiment of a sentencing method in accordance with the present invention.

Figures 10A and 10B are illustrations of the output of information related to calendar decisions on the user interface.

11A through 11F illustrate still another embodiment of the sentencing method according to the present invention.

Hereinafter, specific embodiments of the present invention will be described in further detail with reference to the drawings. The figures are only examples and are not intended to limit the invention.

First, the basic structure of an embodiment of the sentencing system according to the present invention will be described with reference to Fig. 1.

As shown in FIG. 1, the sentencing system according to the present invention is a data mining system, which mainly includes a user terminal device 100 and a server device 200 that are connected to each other to exchange information.

The user equipment 100 is used by the user to make a request to the server device 200 and obtain the desired information, and mainly includes the user interface 110 and the general data analysis processing engine 120.

The user interface 110 is between the user and the hardware, and is an embodiment of the related software designed to communicate with each other, and may include a display window, an icon, a button, and the like. In the case of the present embodiment, the user interface 110 is presented using HTML5 and CSS3, but is not limited to such standards.

The general data analysis processing engine 120 performs processing such as searching for analysis conditions, accepting user search commands, and presenting search results. In the case of this embodiment, the general data analysis processing engine 120 adopts AJAX technology to improve the speed of data extraction. With this AJAX technology, it is possible to perform asynchronous retrieval on the page in real time through the background update, saving a lot of time. The reason for choosing AJAX is that it uses Javascript to modify HTML DOM objects in conjunction with front-end pages, and is easy to communicate with back-end programs. In addition, the web application development method that uses user-side scripts to exchange data with the web server breaks the page overloading convention and can optimize user operations and implement a feature-rich GUI. The AJAX application only needs to send and retrieve the required data to the server. It is not like the traditional web application interaction needs to send a request to the server. As a result, the amount of data exchanged between the server and the browser is greatly reduced, which is a very suitable method for the system that requires a large database to be backed up.

In addition, in the case of the present embodiment, the asynchronous data retrieval using AJAX (Asynchronous Javascript and XML) technology mainly encapsulates and transmits data by JSON (JavaScript Object Notation), so as to facilitate direct data exchange under AJAX. Using the JSON format without decoding, the entire system architecture is built with an expert system concept to build an expert decision system for sentencing.

The server device 200 is built according to the requirements of the user equipment 100, and mainly includes a server 210, a database 220, a backend processing system 230, a legacy system 240, and the like.

The server 210 manages resources and provides services to users. For example, there are file servers, database servers, and application servers.

The database 220 is a database for analyzing the judgments of the past years and establishing a period of sentence, and there are a large number of judgments and interpretations of the calendar years.

The backend processing system 230 performs various backend handlers in accordance with the instructions of the front end.

The legacy system 240 is a large computer system that has been in use for a long time and has many years of software development and data accumulation.

Next, the flow of an embodiment of the sentencing method executed in the above system will be described with reference to Figs. 2 to 7.

As shown in FIG. 2 and FIG. 4A to FIG. 4D, first, on the user interface 100, the applicable law is selected according to the crime scene of the perpetrator (step S11). For example, as shown in FIG. 3A and FIG. 4A, the selection of the applicable law is first selected from the main criminal law and the auxiliary criminal law of the criminal law on the user interface 110 (step S111). If the main criminal law is selected, as shown in FIG. 4B, various crimes in the sub-rule of the main criminal law are output on the user interface 110 for further selection (step S1121). If the auxiliary criminal law is selected, as shown in FIG. 4C, various regulations or related laws in the special law of the supplementary criminal law are outputted on the user interface 110 for further selection (step S1122). Then, as shown in FIG. 4D, the selected crime, the regulations or related laws, and the laws belonging to them are outputted on the user interface 110 for the final selection (step S113).

Then, returning to Figure 2, after selecting the applicable law, the user interface 110 enters the type that determines the offender (steps) Interface of S12). Wherein, as shown in FIG. 3B and FIG. 5, the type of the perpetrator is determined by first selecting, at the user interface 110, whether the perpetrator is a recidivist (step S121), and then selecting whether the perpetrator is an accomplice or a teacher. The guilty, the helper, the number of crimes with the same crimes, or the number of crimes with different charges are combined (step S122).

Then, returning to FIG. 2, after determining the type of the perpetrator, the user interface 110 enters the discriminating section of the penalty as shown in FIG. 6 and the setting interface of the addition and subtraction related matters and weights. At this time, before setting the discriminating section of the sentence and adding or subtracting related matters and weights, the matching rule selected in step S113 and the type of the criminal actor determined in step S12 are used as search conditions, and the matching is retrieved from the database 220. The calendar year condition is determined (step S13). The search method selected in step S113 and the result determined in step S121 are searched as search conditions, and the applicable rule selected in step S113 and the result determined in step S122 are used as search conditions. Search.

Next, based on the sentence of the retrieved calendar year judgment, the judgment sentence reference value is obtained (step S14). The sentence of the calendar year judgment retrieved according to the applicable law strip selected in the step S113 and the result determined in step S121 as the search condition, and the applicable law strip selected according to the step S113 and step S122 The determined result is used as the sentence for the judgment of the calendar year retrieved from the search conditions, and the individual judgment period reference value is obtained.

Then, returning to Figure 2, after obtaining the judgment term value, as shown in Figure 6, at the user interface 110, the disciplinary division is set. Addition and subtraction related items and weights (step S15). Here, the disciplinary subjects and additions and subtractions related matters include: the motive of the crime, the purpose; the stimulation of the crime; the means of crime; the living conditions of the perpetrator; the conduct of the perpetrator; the intellectual knowledge of the perpetrator Degree; the relationship between the perpetrator and the victim; the extent to which the perpetrator violated the obligation; the danger or damage caused by the crime; and the attitude after the crime.

Next, as shown in Fig. 7, the judgment sentence recommendation value is obtained based on the judgment sentence reference value obtained in step S14 and the weight set in step S15 (step S16), and is output to the user interface 110. In addition, as shown in the figure, the final adjustment item is outputted to the user interface 110 at the same time as the output sentence judgment value is output.

The final adjustment option is used for the user to make a final adjustment to the sentence recommendation value according to the articles related to the commutation of the sentence, such as Articles 59 and 60 of the Criminal Law, after obtaining the recommended value of the sentence (step S17). Moreover, once the final adjustment is made, the proposed sentence value will be immediately updated to a new value (the final adjusted sentence judgment value).

Further, as shown in Fig. 7, in step S16, while obtaining the sentence judgment value for output to the user interface 110, the information related to the calendar year judgment and the results of the previously executed steps can be output.

The information related to the previous years' judgments includes the date of the judgment of the previous year's judgment, the cause of the case, and the sentence. The information related to the judgments of the previous years can be presented as a distribution chart, and the icons on the distribution chart representing the sentence of each calendar year can be linked to the database. The content of the judgment.

In addition, in the present embodiment, the recommended value of the sentence and the final sentence of the sentence are determined according to the following formula:

Penalty _final = Penalty - R ...2

Where S = { S _i : S _i N , S _i >0, S _i Penalty _upper }, W ={ W _j : W _j Q }, Penalty _lower Penalty Penalty _upper , R N , R >0

n: the number of judgments of the calendar year retrieved; S: the set of sentences for the years of judgment; m: the number of matters related to the penalty and the number of additions and subtractions

W: a collection of weights

R: The final adjustment of the sentence

Penalty: the recommended value of the sentence before the final adjustment

Penalty _lower : the maximum sentence of the applicable law

Penalty _upper : the minimum sentence for the applicable law

Penalty _final : the final adjusted sentence for the final sentence

Hereinafter, the above formula model will be exemplified.

<Example 1>

A criminal perpetrator violated Article 10, Item 1 of the Drug Hazard Prevention Regulations, in which the maximum period of the sentence is 60 months and the minimum limit is 6 months (ie Penalty _upper = 60 (months), Penalty _lower = 6 (month)). The number of judgments for the calendar year retrieved after the above steps S11 to S13 for the case is 5 (ie, n=5) and the sentence (month) of the 5 pieces is 8, 9, 10, 10 respectively. , 18 (ie S={8,9,10,10,18}), then the average value of the extremities after the removal of the sentence ( ) is 11 (months). Then, in the absence of a matter related to the disciplinary division and addition and subtraction of the criminal (ie, m=0; W=0), the sentence recommendation value is decided ( ) is equal to 11 (months). In addition, in the case of the establishment of the criminal law commutation requirements and the commutation of 6 months (R = 6), the final adjusted penalty period (Penalty _final ) is 5 months.

<Example 2>

A criminal perpetrator violates Article 185-4 of the Public Dangerous Crime, in which the maximum period of the sentence is 60 months and the minimum is 6 days (Penalty _upper = 60 (month), Penalty _lower = 6 (day)) . The number of judgments for the calendar year retrieved after the above steps S11 to S13 for the case is 15 (i.e., n=15) and the sentence (month) of the 15 pieces is 1.5, 4, 5, 6, respectively. ,6,6,6,6,6,6,7,7,8,8,10 (ie S={1.5,4,5,6,6,6,6,6,6,6,7,7 , 8, 8, 10}), the average value of the extremes after the removal of these sentences ( ) is 6.166666666666667 (month). Then, in the case of setting a matter related to the disciplinary division and addition and subtraction of the sentence (ie, m=1) and the weight is set to -1 (ie, W ₁ =-1), the sentence recommendation value is decided ( ) is equal to 6 (months) (because Penalty _lower Penalty Penalty _upper ). In addition, there is no criminal law reduction requirement, so there is no commutation (R=0), and the final sentencing result is 6 months.

Hereinafter, the "public hazard crime" in the Criminal Law sub-rule will be described with reference to FIG. 4A and FIGS. 8A to 8E.

First, select from the user interface as shown in Figure 4A. Enter the user interface of Figure 8A. Next, select "Public Dangerous Crime" from the user interface as shown in FIG. 8A and enter the user interface of FIG. 8B. Then, in the user interface of FIG. 8B, an applicable rule such as "Article 185-4" is selected to enter the user interface of FIG. 8C. Next, in the user interface of FIG. 8C, the "reciprocal offense" and the "positive offense (including the common criminal act)" are determined and the user interface of the 8D figure is entered. Then, in the user interface of Figure 8, select the "post-crime attitude" and "the living conditions of the perpetrator" as the disciplinary subjects and additions and subtractions, and then enter the conditional content for the former "repentance" And select the weight "-1.5 (month)", and enter "unemployed" for the latter and select the weight "-0.5 (month)". Finally, proceed to Figure 8E.

Figure 8E contains the crimes from the top to the bottom (public hazard crimes), the recommended sentence period (6 months), the information related to the previous years' judgment (the distribution of the sentence period over the years), and the recommended sentence adjustment column (Article 59 of the Criminal Law) , Article 60 of the Criminal Law, commutation), and the applicable law, the discretion of the penalty, and related matters such as additions and subtractions. Here, when the final sentence adjustment is made on the proposed sentence adjustment column, it is recommended that the sentence be updated immediately (not shown).

In addition, in the user interface, the user can select the "modification condition" in the lower left to return to the previous user interface for correction according to the actual operation requirements, or select "re-sentence" to clear the input data, and enter the 4A again. Start the user interface of the diagram.

Hereinafter, the "theft crime" in the criminal law rule will be described with reference to FIG. 4A and FIGS. 9A to 9F.

First, select from the user interface as shown in Figure 4A. "Secondary" and enter the user interface of Figure 9A. Next, select "public burglary" from the user interface as shown in FIG. 9A and enter the user interface of FIG. 9B. Then, in the user interface of Figure 9B, select the applicable rule, such as "Article 320, Item 1," and enter the user interface of Figure 9C. Next, in the user interface of Figure 9C, the "recidivism" and the "positive offense (including the common criminal behavior)" are determined and the user interface of the 9D map is entered. Then, in the user interface of Figure 9D, select "post-crime attitude" and "life situation of the perpetrator" as the disciplinary subject and addition and subtraction related matters, and then input the conditional content for the former "free time, repeated crimes" And select the weight "1.5 (month)", and enter "not reconciled with the victim" for the latter and select the weight 1 (month). Finally, proceed to Figure 9E.

Figure 9E contains the crimes from the top to the bottom (theft), the proposed sentence (8.83 months), the information related to the previous year's judgment (the distribution of the sentence in the past years), and the recommended sentence adjustment column (Article 59 of the Criminal Law) , Article 60 of the Criminal Law, commutation), and the applicable law, the discretion of the penalty, and related matters such as additions and subtractions.

Figure 9F illustrates the selection of the "criminal law article 59 commutation". In Figure 9F, when the "Criminal Law Section 59 commutation" is elected, objects that can be further manipulated by the user appear on the user interface (in the figure, the scale). When the "reduction of sentence for March" is reached, the proposed sentence value will be immediately updated to "5.83 months".

For examples of information related to previous years' judgments, as shown in Figures 10A and 10B, the abscissa indicates the year, and the ordinate indicates the sentence. The results of this case are in different colors, such as different colors. Different shapes, different patterns, etc. are presented (the figures are different colors). The user can perform further operations on the map, such as clicking and boxing (the icon is to place the mouse pointer on the icon) to obtain more detailed information or enter an interface containing detailed judgment content.

Hereinafter, the "drug hazard prevention regulations" in the special law will be described with reference to Figs. 11A to 11E as an example.

First, select "Special Method" from the user interface as shown in FIG. 4A to enter the user interface of FIG. 11A. Next, select the "Drug Hazard Prevention Regulations" from the user interface as shown in Figure 11A and enter the user interface of Figure 11B. Then, in the user interface of FIG. 11B, an applicable rule such as "Article 10, Item 1" is selected to enter the user interface of FIG. 11C. Next, in the user interface of FIG. 11C, the "recidivism" and the "positive offense (including the common criminal behavior)" are determined and the user interface of the 11D map is entered. Then, in the user interface of Figure 11D, select "Intellectual Intelligence Level of Criminal Perpetrator", "Motivation of Crime, Purpose" as the disciplinary subject of the penalty and related matters of addition and subtraction, and then enter the conditional content for the former "with lawyer qualification And select the weight "2.5 (month)", and enter "evasion pressure" for the latter and select the weight "-1 (month)". Finally, proceed to Figure 11E.

Figure 11E contains the crimes from the top to the bottom (the drug hazard prevention regulations), the proposed sentence (12.5 months), the information related to the previous year's judgment (the distribution of the sentence in the past years), and the proposed sentence adjustment column (the criminal law section 59) Articles of commutation, Article 60 of the Criminal Law, and the applicable law, the discretion of the penalty, and related matters such as additions and subtractions.

Figure 11F illustrates the selection of "Article 60 of the Criminal Law." In the 11th F chart, when the "Criminal Law Section 60 commutation" is elected, there is a "criminal law section 62 commutation" and "other" (the "other" here refers to the criminal law, Some of these laws have specific provisions for commutation.) Then, as an example, the "Criminal Law Article 62 Reduction" is taken as an example, and the measure is drawn to "reduction of sentence by June", and the recommended sentence for the sentence is updated to "6.5 months."

The above-described embodiments are merely examples for the convenience of the description, and the scope of the claims is intended to be limited to the above embodiments.

Claims (10)

A method of sentencing, which performs the following steps in a system for performing data exploration: a method for selecting a rule of law is applied to a user interface set in the foregoing system, and a applicable law is selected according to the criminal circumstances of the perpetrator; The actor type determining step determines the type of the aforementioned criminal actor on the user interface; the ruling decision step in the calendar year, and the result of the foregoing applicable rule selection step and the foregoing criminal actor type determining step are used as search conditions, and are set in the foregoing In the database containing the historical judgments in the system, the judgments of the calendar year meeting the foregoing conditions are retrieved; the step of obtaining the reference value of the sentence period is judged, and the sentence period of the judgment of the calendar year is retrieved according to the retrieval step of the previous calendar year, and the benchmark value of the sentence is obtained, The output is in the user interface; the discretionary section of the penalty and the related matters of the addition and subtraction and the weight setting steps, and the matters related to the disciplinary division and addition and subtraction of the penalty are set on the user interface, and the weights of the foregoing items are set correspondingly; Obtaining steps based on the aforementioned judgmental reference value and the aforementioned weights Sentence acquired by calculation the decision recommended value, to output to the user interface; and a decision sentence recommendation value adjusting step, the final adjustment value for the decision sentence recommendation. The method of claim 1, wherein the step of selecting the applicable rule further comprises performing the following steps in sequence on the user interface: The first selection step selects one of the main criminal law and the auxiliary criminal law of the criminal law; the second selection step selects the regulations in the main criminal law or the regulations or related laws in the auxiliary criminal law; and the third selection step selects the applicable law. The method of claim 1, wherein the foregoing criminal actor type determining step further comprises performing the following steps in sequence on the user interface: a first determining step of determining whether the aforementioned perpetrator is a recidivist; and a second determining step Determining whether the aforementioned perpetrator is an accomplice, an instigator, a helper, a number of crimes with the same crime, or a number of crimes with the same crime; the above-mentioned judgment step of the judgment further includes the following steps: first search a step of performing search by using the result of the foregoing applicable rule selection step and the first decision step as a search condition; and a second search step of using the result of the foregoing applicable rule selection step and the second determination step as a search condition, The results of the first retrieval step are searched. The method of claim 3, wherein in the step of obtaining the sentence reference value of the foregoing judgment, the sentence of the calendar year judged by the first search step and the calendar year judgment retrieved by the second search step respectively In the sentence, the individual judgment period is obtained. For example, the method of claim 1 of the patent scope is obtained by calculation The average value after the removal of the extreme value of the sentence of the previous year's judgment is retrieved by the above-mentioned judgment step of the judgment, as the reference value of the judgment sentence. For example, in the method of claim 1, wherein the step of outputting the information information of the calendar year is further performed, and the information related to the calendar year judgment retrieved by the previous year judgment retrieval step is outputted on the user interface. For example, in the method of claim 6, the information includes the sentence of the previous year's judgment, and is presented in the form of a distribution chart, and the icon representing the sentence of each calendar year on the aforementioned distribution chart links the contents of the judgment in the aforementioned database. For example, the method of applying the first paragraph of the patent scope, wherein the aforementioned judgment period recommendation value is obtained by the following formula model: Penalty _final = Penalty - R ...2 where S = { S _i : S _i N , S _i >0, S _i Penalty _upper }, W ={ W _j : W _j Q }, Penalty _lower Penalty Penalty _upper , R N , R >0 n: the number of judgments of the calendar year retrieved in the search step of the previous calendar year; S: the set of sentences of the judgments over the years; m: in the discretion of the aforementioned sentence and the matters related to the addition and subtraction and the weight setting steps The number of items set; W: the set of weights set in the discretionary and subject matter of the aforementioned penalty and the steps of setting the weights; R: the sentence set in the step of adjusting the recommended value of the sentence; Penalty: in the above judgment The recommended sentence value of the judgment period obtained in the step of obtaining the recommended value of the sentence is the final sentence of the sentence before the final adjustment; Penalty _lower : the maximum sentence of the law selected in the selection step of the aforementioned applicable law; Penalty _upper : in the aforementioned applicable law The minimum sentence of the law selected in the selection step; Penalty _final : the _final sentence of the sentence obtained in the adjustment step of the sentence judgment period. A sentencing system comprising a client device (100) and a server device (200) for performing the sentencing method according to any one of claims 1 to 8. For example, the sentencing system of the ninth application patent scope, in which HTML5 and CSS3 are used to present the user interface in the aforementioned user terminal device, and the JSON package is used to communicate the required information with the program in the server device, and the AJAX technology is used. Retrieve the required data in combination with the program in the aforementioned server device to retrieve the database.