CN110197332A - A kind of overall control of social public security evaluation method - Google Patents
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Abstract
The present invention provides a kind of at low cost, and the objective overall control of social public security evaluation method of evaluation result includes the following steps, S1 obtains achievement data；S2 carries out data translation to achievement data；S3 calculates the contribution degree of each index；S4 calculates each indication information entropy redundancy；S5 calculates the weight of each index；S6 detects weight；S7 obtains overall control of social public security quantized value using evaluation model.The present invention, which passes through, obtains objective data, and the evaluation number to obtain quantization is analyzed objective data by computer model, and not by staff's subjective impact, evaluation result is objective, and data acquisition and datamation carry out, and cost low velocity is fast.
Description
Technical field
The present invention relates to governance fields, and in particular to a kind of overall control of social public security evaluation method.
Background technique
All kinds of researchs relate to composite index Research on Calculation and index system establishment research in the prior art, and the two is each
Have and stress, landing property is poor；With the transformation of social development and social contradications, which is not inconsistent with social reality, not
Match；By artificial subjective factor and cost impact, implementation is poor for expert estimation and questionnaire part, and Intrusion Index release cycle
And timeliness.
In recent years, new variation has occurred in society, and masses' economy is more independent, and various regions floating population gradually increases, various
The conflict of interest is more and more prominent, and the difficulty of social management gradually increases, and the situation that social security work faces is more complicated, maintenance
The stable task of social harmony is heavy and arduous, and there is an urgent need to one kind being capable of the objective and accurate side evaluated social security
Method promotes coordinated development of the economy and society with the neutralizing of deep propulsion social contradications.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of overall control of social public security evaluation method and includes the following steps,
S1 obtains achievement data；
S2 carries out data translation to achievement data；
S3 calculates the contribution degree of each index；
S4 calculates each indication information entropy redundancy；
S5 calculates the weight of each index；
S6 detects weight；
S7 obtains overall control of social public security quantized value using evaluation model；
The loss function of the evaluation model human face recognition model uses following formula:
Wherein, N indicates the number of all samples pair,
yiIndicate sample label,Model prediction is indicated as a result, Np indicates the number of positive sample pair, Fi1Indicate positive sample pair
The feature of first picture, Fi2Positive sample is indicated to the feature of second of picture, λ indicates penalty coefficient, and value is in the present invention
0.01, w indicates the parameter in deep learning model.
Further, the achievement data includes that GDP per capita, income of urban and rural residents ratio, population, floating population account for
Than, urbanization rate, average schooling years, unemployment rate, solve the problems, such as teenager's number unable to go to school, complaint, report channel problem per capita
Quantity, processing are complained, report caseload, letters and calls case wind-up-case rate, repeat to complain to the higher authorities about an injustice and request fair settlement rate, collective's amount of complaining to the higher authorities about an injustice and request fair settlement, criminal case incidence of criminal offenses
Rate, eight class Violent cases account for whole criminal case ratios, case involving public security incidence of cases, traffic mortality, " two rob a robber "
Incidence of cases, population from other places's crime specific gravity, juvenile crime rate, criminal case case-solving rate, every ten thousand population police strength Disposing rate, the public security people
Alert case-solving rate per capita, mass prevention and mass treatment troop number, every ten thousand population lawyer number, is broken laws and commit crime at every ten thousand population administrative personnel number again
Rate, informatization maturity, the online rate of camera, camera density, camera area coverage, comprehensive improvement grid construction investment,
The training rate of community correction and release after serving a sentence solution religion personnel, the employment rate of community correction and release after serving a sentence solution religion personnel, community correction placement side
Religion group number, solution are rectified a variety of or a kind of in personnel amount.
It is further, described to include to achievement data progress data translation,
For positive index, using formula,Carry out data translation；
For negative sense index, using formula,Data translation is carried out,
X is original index data in formula, and r is the achievement data after data translation, wherein i is i-th record collected,
J is index number,To collect the minimum value in all samples of jth item index,To collect all samples of jth item index
In maximum value
Further,
The contribution degree for calculating each index, is calculated using the following equation each index contribution degree
Wherein, i is i-th record collected, and j is index number.
It is further, described to calculate each indication information entropy redundancy and include,
It is calculated using the following equation comentropy redundancy,
Calculate each indication information entropy redundancy dj=1-Ej,
Wherein, K > 0, ln natural logrithm, Ej>=0,
Work as djWhen bigger, then jth item index is more important.
Further, the weight for calculating each index includes,
It is calculated using the following equation
D is entropy redundancy in formula.
Further, described pair to weight carry out detection include,
Work as djWhen=0, jth index is deleted.
It is further, described to include using evaluation model acquisition overall control of social public security quantized value,
The evaluation model is S=∑ wjPij。
Further, income index will be calculated by model, according to sorting from small to large；
Determine first quartile, the second quartile, third quartile,
First quartile takes the 25%th in the numerical value arranged from small to large；
Second quartile takes the 50%th in the numerical value arranged from small to large；
Third quartile takes the 75%th in the numerical value arranged from small to large；
According to quartile, grading standard and score range are determined.
After obtaining index score, need to carry out " interpretation " to score.It is comprehensive that social security is carried out according to quantile thought
The grade classification of improvement situation, using level Four standards of grading, preceding 25% is poor, and the 25%th to the 50%th is, and the 50%th to the
75% is good, 75% to 100% be it is excellent, composite index score is divided into "excellent", "fine", "moderate" and "bad" level Four." excellent " expression society
Can composite management of public security situation it is outstanding, " good " the expressions overall control of social public security in order, " in " indicate social security integrate
Environment control runs smoothly, and " poor " expression overall control of social public security situation is poor, and environment is unstable.
The invention has the advantages that
1 present invention analyzes objective data by obtaining objective data, and by computer model to obtain quantization
Evaluation number, not by staff's subjective impact, evaluation result is objective, and data acquisition and datamation into
Row, cost low velocity are fast.
2 present invention form the index system that can evaluate the overall control of social public security, and are calculated by index system
Overall control of social public security index, carrying out comprehensive evaluation to the condition of public security makes the present invention have an essence to the condition of public security
Really, scientific understanding, it is just to realize so as to preferably coach for correct maintain public order policy, the method formulated
The measurement condition of public security of science provides standard and scale.
Detailed description of the invention
Fig. 1 is one embodiment of the invention flow chart.
Specific embodiment
The invention thinking described in background technique, which is illustrated, to be solved the problems, such as to the present invention below,
Overall control of social public security situation comprehensive evaluation index, the main foundation including index system, comprehensive evaluation index
It calculates and index assessment analyzes several parts.The present invention is the business system based on the overall control of social public security, provides evaluation society
The method of meeting composite management of public security situation, this method provide scientific and reasonable appraisement system simultaneously, are somewhere, a certain work prison
It superintends and directs examination and reference standard is provided.
Evaluation description to a certain phenomenon, accomplishes objective and feasible, needs design evaluatio model, referred to by the way that evaluation is calculated
Number is to evaluate a phenomenon.Comprehensive evaluation index research first needs to establish the index system for reflecting a certain phenomenon, true by weight
The method of determining determines each index weights, determines evaluation model later, calculates composite index, and evaluated index results, analyzed.
1. index system:
Condition of public security evaluation number carries out overall merit to the condition of public security, has one to the condition of public security
Accurately, scientific understanding, to realize that the judgement condition of public security of just science provides standard and scale.By index classification, divide
Layer is the basic framework of index system, and the basic boom of condition of public security evaluation number is defined as to include destructive power, control
Power index, while public security perception is introduced as the index system for reflecting a certain regional society's security condition.
2. Weight Determination:
Currently, there are many determination method about weight, and it is different according to the source of initial data when calculating weight, master can be divided into
See enabling legislation, objective weighted model, Evaluation formula.
Subjective weighting method is to determine attribute weight according to the subjective attention degree to each attribute of policymaker (expert)
Method, initial data by expert rule of thumb subjective judgement and obtain.Common subjective weighting method has expert survey
(Delphi method), analytic hierarchy process (AHP) (AHP), binomial coefficient method, ring are than point system, least squares method etc..
Its initial data of objective weighted model is formed by real data of each attribute in decision scheme, and basic thought is to belong to
Property weight should be the measurement of degree of variation of each attribute in property set and the influence degree to other attributes.It is common objective
Enabling legislation has: Principal Component Analysis, Information Entropy, deviation and average variance method, multi-objective programming method etc..Wherein Information Entropy compared with
More, data used in this enabling legislation are decision matrixs, and identified attribute weight reflects the dispersion degree of attribute value.
Evaluation formula, that is, Subjective-objective Combination enabling legislation.Two kinds of common methods of Subjective-objective Combination enabling legislation are: " multiplication "
Integration Method, " addition " Integration Method.Its formula is respectively:
wi=aibi/∑aibi
Wherein wiIndicate the combining weights of i-th of index, ai、biThe objective weight of respectively i-th index and subjective power
Weight.When policymaker to different enabling legislations there are when preference,It can be determined according to the preference information of policymaker.
3. evaluation criterion:
Quartile counting method and conventional threshold values split plot design:
One kind --- the method for-quartile of quantile in statistics is selected, i.e., simultaneously the ascending arrangement of all numerical value
It is divided into quarter, the numerical value in three cut-point positions is exactly quartile.The numerical value of three cut-point positions is several respectively
It is worth after ascending arrangement the 25%th, 50%, 75% number, i.e. first quartile, the second quartile, third quartile
Number, the section as composed by them is also each grade threshold section.
The present invention will be further explained with reference to the examples below:
The present invention will be further explained with reference to the examples below:
Firstly, the data for measuring the index system of somewhere overall control of social public security situation are collected,
Xm×n=(xij)m×nWherein, i=1,2 ..., m, j=1,2 ..., n
Time series data: x is setijIndicate this area 1 year, in index system jth item attribute (index) value, value
Range is all real numbers.
Cross-section data: x is setijThe value of jth item attribute (index), value range are in i-th of area of expression, index system
All real numbers.
Secondly, according to the realistic meaning of each index, judge index is the bigger the better or the smaller the better, and to different indexs
Do non-negativeization processing:
For the index being the bigger the better:
For the smaller the better index:
When collection be time series data when, i is time domain, and j is index number；When the data of collection are cross-section datas
When, i is time domain, and j is index number.It is handled by non-negativeization, obtains new index value.
Then, the contribution degree and entropy of each index are calculated, and calculates comentropy redundancy:
Each index contribution degree:
The entropy of each index output:
In formula, K > 0, ln natural logrithm, Ej>=0, EjIndicate the entropy of jth item index.
Comentropy redundancy:
dj=1-Ej
According to redundancy, the going or staying of the index is judged.Work as djWhen=0, weight is equal to 0, can reject jth index.
Later, the weight of each index is calculated, and obtains the evaluation model of composite index:
Weight:
The weight for calculating jth item index, that is, calculate this indication information entropy redundancy in all indication information entropy redundancies
In shared specific gravity.
Evaluation model:
According to gather data difference, evaluation model can be read as, and the i-th phase of somewhere evaluation score or ith zone are commented
Valence score.
Finally, the index score calculated evaluation model does final evaluation according to evaluation criterion.According to standards of grading, look into
See which grade interval range is score fall in get the evaluation result of gained composite index is arrived.The evaluation result in each period is done
Comparative analysis, just obtain overall control of social public security situation objectively evaluates result.
In implementation process of the present invention, evaluation model knows model using face and does not carry out person recognition,
The loss function of the evaluation model human face recognition model uses following formula:
Wherein, N indicates the number of all samples pair,
yiIndicate sample label,Model prediction is indicated as a result, Np indicates the number of positive sample pair, Fi1Indicate positive sample pair
The feature of first picture, Fi2Positive sample is indicated to the feature of second of picture, λ indicates penalty coefficient, and value is in the present invention
0.01, w indicates the parameter in deep learning model.
In recognition of face link, a kind of novel modelling and loss function calculation method are introduced.In deep learning
When model training, the feature that the present invention extracts the different photos of the same person mentions the photo of different people to positive sample is considered as
The feature taken is to being considered as negative sample.In research before, only consider positive negative sample prediction result and label as close as,
And positive and negative sample characteristics are had ignored to similarity relationship itself.In the present invention, the present invention uses for reference the thought of SVM classifier, base
In positive and negative sample classification interval principle as big as possible, the optimal hyperlane of positive and negative sample classification is found, improves model to just
The distinction of negative sample improves the accuracy rate of recognizer.
The present invention distinguishes the feature of extraction feature pair in the middle layer of deep learning, and the present invention is denoted as fea1 and fea2, calculates
Method requires the fea1 and fea2 of positive sample as close as possible, and the fea1 and fea2 of negative sample become estranged as far as possible.In loss function
The middle present invention measures the similitude of feature with Euclidean distance.Also, the present invention joined regular terms in loss function, to prevent
Only model over-fitting, improves the generalization ability of model, further improves the accuracy rate of recognizer.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.The foregoing is merely the preferred embodiments of this specification, not to limit this explanation
Book, all within the spirit and principle of this specification, any modification, equivalent substitution, improvement and etc. done should be included in this theory
Within the scope of bright book protection.
Claims (9)
1. a kind of overall control of social public security evaluation method, which is characterized in that it includes the next steps,
S1 obtains achievement data；
S2 carries out data translation to achievement data；
S3 calculates the contribution degree of each index；
S4 calculates each indication information entropy redundancy；
S5 calculates the weight of each index；
S6 detects weight；
S7 obtains overall control of social public security quantized value using evaluation model；
The loss function of the evaluation model human face recognition model uses following formula:
Wherein, N indicates the number of all samples pair,
yiIndicate sample label,Indicate model prediction as a result, NpIndicate the number of positive sample pair, Fi1Indicate positive sample to first
The feature of picture, Fi2Positive sample is indicated to the feature of second of picture, λ indicates penalty coefficient, and value is 0.01 in the present invention,
W indicates the parameter in deep learning model.
2. a kind of overall control of social public security evaluation method as described in claim 1, which is characterized in that the achievement data packet
It includes, GDP per capita, income of urban and rural residents ratio, population, floating population's accounting, urbanization rate, average schooling years, unemployment
Rate solves the problems, such as that problematic amount, processing complain, report caseload, letters and calls per capita for teenager's number unable to go to school, complaint, report channel
Case wind-up-case rate, repetition complain to the higher authorities about an injustice and request fair settlement rate, collective's amount of complaining to the higher authorities about an injustice and request fair settlement, crime rate, eight class Violent cases and account for whole criminal cases
Ratio, case involving public security incidence of cases, traffic mortality, " two rob a robber " incidence of cases, population from other places's crime specific gravity, juvenile offender
Guilty rate, criminal case case-solving rate, every ten thousand population police strength Disposing rate, public security police per capita case-solving rate, every ten thousand population administrative personnel number,
Mass prevention and mass treatment troop number, every ten thousand population lawyer number, again break laws and commit crime rate, informatization maturity, the online rate of camera,
Camera density, camera area coverage, the investment of comprehensive improvement grid construction, community correction and release after serving a sentence solution teach the training rate of personnel, society
Area correction and release after serving a sentence solution religion personnel employment rate, community correction placement help and education group's number, solve rectify personnel amount in it is a variety of or one
Kind.
3. a kind of overall control of social public security evaluation method as claimed in claim 2, which is characterized in that
It is described to include to achievement data progress data translation,
For positive index, using formula,Carry out data translation；
For negative sense index, using formula,Data translation is carried out,
X is original index data in formula, and r is the achievement data after data translation, wherein i is i-th record collected, and j is to refer to
Mark number,To collect the minimum value in all samples of jth item index,To collect in all samples of jth item index most
Big value
4. a kind of overall control of social public security evaluation method as claimed in claim 3, which is characterized in that
The contribution degree for calculating each index, is calculated using the following equation each index contribution degree
Wherein, i is i-th record collected, and j is index number.
5. a kind of overall control of social public security evaluation method as claimed in claim 4, which is characterized in that
It is described to calculate each indication information entropy redundancy and include,
It is calculated using the following equation comentropy redundancy,
Calculate each indication information entropy redundancy dj=1-Ej,
Wherein, K > 0, ln natural logrithm, Ej>=0,
Work as djWhen bigger, then jth item index is more important.
6. a kind of overall control of social public security evaluation method as claimed in claim 5, which is characterized in that
The weight for calculating each index includes,
It is calculated using the following equation
D is entropy redundancy in formula.
7. a kind of overall control of social public security evaluation method as claimed in claim 6, which is characterized in that
Described pair to weight carry out detection include,
Work as djWhen=0, jth index is deleted.
8. such as a kind of overall control of social public security evaluation method as claimed in any one of claims 1 to 7, which is characterized in that
It is described to include using evaluation model acquisition overall control of social public security quantized value,
The evaluation model is S=∑ wjPij。
9. a kind of overall control of social public security evaluation method as claimed in claim 8, which is characterized in that it further include step,
Income index will be calculated by model, according to sorting from small to large；
Determine first quartile, the second quartile, third quartile,
First quartile takes the 25%th in the numerical value arranged from small to large；
Second quartile takes the 50%th in the numerical value arranged from small to large；
Third quartile takes the 75%th in the numerical value arranged from small to large；
According to quartile, grading standard and score range are determined.
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