CN107563595A - Colleges and universities' core business index scoring system and method based on dynamic discrete algorithm - Google Patents
Colleges and universities' core business index scoring system and method based on dynamic discrete algorithm Download PDFInfo
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- 238000013480 data collection Methods 0.000 claims abstract description 13
- 238000012549 training Methods 0.000 claims abstract description 13
- 238000013077 scoring method Methods 0.000 claims abstract description 10
- 238000005194 fractionation Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 description 4
- 239000012141 concentrate Substances 0.000 description 4
- 230000003044 adaptive effect Effects 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 238000000354 decomposition reaction Methods 0.000 description 3
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- 238000010276 construction Methods 0.000 description 1
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Abstract
The invention discloses a kind of colleges and universities' core business index scoring method based on big data and system, method mainly to include：The core business of school is quantified and splits into key business index by step 1), and each key index is split into factor of influence and influence event；Three key index, the factor, event levels are subjected to weight proportioning；Step 2) obtains the influence event data collection of input, passes through dynamic discrete quantization algorithm training data, dynamic generation scoring criterion；Step 3) inputs new influence event data, and is given a mark according to above scoring criterion；Step 4) matches according to above weight according to the marking of the influence event, generates the fraction of different key business indexs, ultimately generate whole school's business combined index.
Description
Technical field
The invention belongs to a kind of colleges and universities' core business index scoring system based on dynamic discrete quantization algorithm.
Background technology
The exquisite part of business index scoring system is that can be by way of quantizing factor by school's running status
Quantified, tradition does not possess objectivity by empiricism evaluation school running status.
However, current scoring system, belongs to human intervention mostly, its is ineffective.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of colleges and universities' core business index based on dynamic discrete algorithm
Scoring system and method, the shortcomings that overcoming human intervention.
It is as follows that the present invention solves the technical scheme that above-mentioned technical problem is taken：
A kind of colleges and universities' core business index scoring method based on big data, including：
The core business of school is quantified and splits into key business index by step 1), and by each key index
Split into factor of influence and influence event；
Three key index, the factor, event levels are subjected to weight proportioning；
Step 2) obtains the influence event data collection of input, passes through dynamic discrete quantization algorithm training data, dynamic generation
Scoring criterion；
Step 3) inputs new influence event data, and is given a mark according to above scoring criterion；
Step 4) matches according to above weight according to the marking of the influence event, generates different key business indexs
Fraction, ultimately generate whole school's business combined index.
Preferably, in step 1), specifically include：
The core business index of school is split into multiple key business indexs, and different shadow that each index is given a definition
Ring the factor；
According to the concrete condition of itself school, by weight ratio corresponding to different indexs and factor of influence manual allocation.
Preferably, in step 1), including：By the different influence event classes of each factor of influence fractionation positively and negatively
Type.
Preferably, in step 2), specifically include：
Obtain the event data collection of input, the event data concentrate include in a certain event section the influence event of generation and
Number；
Different segments is gone out according to the distribution situation dynamic quantization of event data, the data set of same segment is made
For a measure standard and quantify component number.
Preferably, in step 3), specifically include：
To the data set of dynamic input, different segments is gone out according to the distribution situation dynamic quantization of data and provided correspondingly
Marking.
Preferably, in step 4), specifically include：
The marking of event times generation generates the fraction of the factor according to weight, and factor fraction weights and generates crucial industry again
Business index score, operational indicator fraction finally weight the combined index for generating whole school.
A kind of colleges and universities' core business index scoring system based on big data, including：
Data split cells, the core business of school is quantified and splits into key business index, and by each
Key index splits into factor of influence and influence event；
Three key index, the factor, event levels are subjected to weight proportioning；
Data training unit, the influence event data collection of input is obtained, by dynamic discrete quantization algorithm training data, moved
State generates scoring criterion；
Marking unit, inputs new influence event data, and given a mark according to above scoring criterion；
Index generation unit, according to the marking of the influence event, matched according to above weight, generate different key businesses
The fraction of index, ultimately generate whole school's business combined index.
Preferably, the data split cells, is further used for：
The core business index of school is split into multiple key business indexs, and different shadow that each index is given a definition
Ring the factor；
According to the concrete condition of itself school, by weight ratio corresponding to different indexs and factor of influence manual allocation.
Preferably, the data split cells, further user split each factor of influence positively and negatively not
Same influence event type.
Preferably, the data training unit, is further used for：
Obtain the event data collection of input, the event data concentrate include in a certain event section the influence event of generation and
Number；
Different segments is gone out according to the distribution situation dynamic quantization of event data, the data set of same segment is made
For a measure standard and quantify component number.
The present invention is based on dynamic discrete quantization algorithm, and by colleges and universities' strategic objective, by core business, successively decomposition and inversion is each
The specific index marking system mutually balanced of kind, criterion change, the standard of different schools with school's dynamic performance
Adaptive transformation, thus solve due to can not under same criterion caused by each school's number, environmental background difference
The technical barrier of each business performance situation of objective measure school.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and obtained in book, claims and accompanying drawing.
Brief description of the drawings
The present invention is described in detail below in conjunction with the accompanying drawings, to cause the above-mentioned advantage of the present invention definitely.Its
In,
Fig. 1 is the schematic diagram of colleges and universities' core business index scoring method of the invention based on dynamic discrete quantization algorithm；
Fig. 2 is the schematic diagram of colleges and universities' core business index scoring system of the invention based on dynamic discrete quantization algorithm.
Embodiment
Embodiments of the present invention are described in detail below with reference to drawings and Examples, and how the present invention is applied whereby
Technological means solves technical problem, and the implementation process for reaching technique effect can fully understand and implement according to this.Need to illustrate
As long as not forming conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other,
The technical scheme formed is within protection scope of the present invention.
In addition, can be in the department of computer science of such as one group computer executable instructions the flow of accompanying drawing illustrates the step of
Performed in system, although also, show logical order in flow charts, in some cases, can be with different from herein
Order perform shown or described step.
Embodiment one：
As shown in figure 1, a kind of colleges and universities' core business index scoring method based on big data, including：
The core business of school is quantified and splits into key business index by step 1), and by each key index
Split into factor of influence and influence event；
Three key index, the factor, event levels are subjected to weight proportioning；
Step 2) obtains the influence event data collection of input, passes through dynamic discrete quantization algorithm training data, dynamic generation
Scoring criterion；
Step 3) inputs new influence event data, and is given a mark according to above scoring criterion；
Step 4) matches according to above weight according to the marking of the influence event, generates different key business indexs
Fraction, ultimately generate whole school's business combined index.
The present invention is based on dynamic discrete quantization algorithm, and by colleges and universities' strategic objective, by core business, successively decomposition and inversion is each
The specific index marking system mutually balanced of kind, criterion change, the standard of different schools with school's dynamic performance
Adaptive transformation, thus solve due to can not under same criterion caused by each school's number, environmental background difference
The technical barrier of each business performance situation of objective measure school.
Embodiment two：
Embodiment one is described in detail, these, it is preferred to, in step 1), specifically include：
The core business index of school is split into multiple key business indexs, and different shadow that each index is given a definition
Ring the factor；
According to the concrete condition of itself school, by weight ratio corresponding to different indexs and factor of influence manual allocation.
Preferably, in step 1), including：By the different influence event classes of each factor of influence fractionation positively and negatively
Type.
Preferably, in step 2), specifically include：
Obtain the event data collection of input, the event data concentrate include in a certain event section the influence event of generation and
Number；
Different segments is gone out according to the distribution situation dynamic quantization of event data, the data set of same segment is made
For a measure standard and quantify component number.
Preferably, in step 3), specifically include：
To the data set of dynamic input, different segments is gone out according to the distribution situation dynamic quantization of data and provided correspondingly
Marking.
Preferably, in step 4), specifically include：
The marking of event times generation generates the fraction of the factor according to weight, and factor fraction weights and generates crucial industry again
Business index score, operational indicator fraction finally weight the combined index for generating whole school.
Wherein, the core business of school is quantified and splits into key business index by the present invention, and index is split
Into factor of influence and influence event.And three index, the factor, event levels are subjected to artificial weight and matched.By dynamic from
Quantization algorithm is dissipated, on the data set (influence event times) of dynamic input, difference is gone out according to the distribution situation dynamic quantization of data
Segment, the data set of same segment as a measure standard and is quantified into component number, when there is new data
Input is come in, automatic to distribute segment and give marking.Finally, the marking of event times generation generates the factor according to weight
Fraction, factor fraction weights again generates key business index score, and finally weighting generates the total of whole school to operational indicator fraction
Index.
Embodiment three：
According to above example specific embodiment, its key step includes：
Step 1: the core business index of school is split into three student-directed, research and development management, specialized management crucial industry
Business index.And there are safety of student management, mental health under each index is given a definition different factors of influence, such as student-directed
Management.According to the situation of itself school, have tendentious by weight ratio corresponding to different indexs and factor of influence manual allocation.
Step 2: each factor of influence is split to different influence event types, and statistics number.It is divided into two major classes：1、
Forward direction, such as student access network politics event times.2nd, negative sense, such as negative tendency early warning number.
Step 3: being inputted for the number of Different Effects event as data set, the different factors is given a mark, example
Such as, negative tendency early warning number, the early warning number of school's internal trigger in 3 months of 10000 people is counted, is quantified by dynamic discrete
Algorithm, to the data set of dynamic input, different segments is gone out according to the distribution situation dynamic quantization of data and provides corresponding beat
Divide, for example certain day is triggered and is distributed when being more than 100 early warning according to dynamic discrete, such case is the higher area of triggering times
Between, total score is such as set as 100 points, then corresponds to the dynamic on the day of providing and gives a mark 8 points, such as triggering daily is less than 10 times, according to dynamic
The discrete distribution of state, such case are the less section of triggering times, and the fraction on the same day should be at 97 points.
Step 4: so, with the accumulation of a period of time data set, the degree of accuracy of dynamic discrete quantization algorithm can be according to
The situation in school is carried out adaptively, and the discrete distribution situation of different schools is different, can targetedly get different fractions.So,
Although seeming identical number, in different schools, the not even fraction with institute is all different.Same school as
The passage of time, marking rule are varied from.
Step 5: having obtained each factor score, according to the weight ratio set before, different key business indexs are generated
Fraction, ultimately generate whole school's business combined index.So, what the user of different levels saw is all the business related to oneself point
Number, whole system serves whole school different levels manager and dynamic updates the data, convenient to carry out decision-making and statistical analysis.
Beneficial effects of the present invention are as follows：
1st, the exquisite part of business index scoring system is that and school can be run into shape by way of quantizing factor
State is quantified, and tradition does not possess objectivity by empiricism evaluation school running status.The marking system of non-artificial intervention,
The objectivity of marking can also be lifted by dynamic discrete quantization algorithm, the subjective factor for breaking away from traditional marking system is leading
Situation.Operation that is objective, timely evaluating school is contributed to administer situation.
2nd, index marking is the process of a real-time dynamic change, and the performance situation of each service layer can pass through in real time
Marking system is embodied, and statistical history rule, facilitates manager to carry out decision-making.Contribute to that school establishes science, data are
The decision-making administering method opinion and management custom of foundation.
3rd, different business index weight proportioning can be adjusted, so as to full by school manager according to school's service feature
The demand that specializes of sufficient Construction of University.
Example IV：
Corresponding with above method embodiment, present invention also offers a kind of colleges and universities' core business index based on big data
Scoring system, including：
Data split cells, the core business of school is quantified and splits into key business index, and by each
Key index splits into factor of influence and influence event；
Three key index, the factor, event levels are subjected to weight proportioning；
Data training unit, the influence event data collection of input is obtained, by dynamic discrete quantization algorithm training data, moved
State generates scoring criterion；
Marking unit, inputs new influence event data, and given a mark according to above scoring criterion；
Index generation unit, according to the marking of the influence event, matched according to above weight, generate different key businesses
The fraction of index, ultimately generate whole school's business combined index.
Preferably, the data split cells, is further used for：
The core business index of school is split into multiple key business indexs, and different shadow that each index is given a definition
Ring the factor；
According to the concrete condition of itself school, by weight ratio corresponding to different indexs and factor of influence manual allocation.
Preferably, the data split cells, further user split each factor of influence positively and negatively not
Same influence event type.
Preferably, the data training unit, is further used for：
Obtain the event data collection of input, the event data concentrate include in a certain event section the influence event of generation and
Number；
Different segments is gone out according to the distribution situation dynamic quantization of event data, the data set of same segment is made
For a measure standard and quantify component number.
The present invention is based on dynamic discrete quantization algorithm, and by colleges and universities' strategic objective, by core business, successively decomposition and inversion is each
The specific index marking system mutually balanced of kind, criterion change, the standard of different schools with school's dynamic performance
Adaptive transformation, thus solve due to can not under same criterion caused by each school's number, environmental background difference
The technical barrier of each business performance situation of objective measure school.
It should be noted that for above method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the application is not limited by described sequence of movement because
According to the application, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily the application
It is necessary.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the application can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.
Moreover, the application can use the computer for wherein including computer usable program code in one or more can use
The computer program product that storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Form.
Finally it should be noted that：The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention,
Although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic.
Within the spirit and principles of the invention, any modification, equivalent substitution and improvements made etc., it should be included in the present invention's
Within protection domain.
Claims (10)
1. a kind of colleges and universities' core business index scoring method based on big data, including：
The core business of school is quantified and splits into key business index by step 1), and each key index is split
Into factor of influence and influence event；
Three key index, the factor, event levels are subjected to weight proportioning；
Step 2) obtains the influence event data collection of input, passes through dynamic discrete quantization algorithm training data, dynamic generation marking
Standard；
Step 3) inputs new influence event data, and is given a mark according to above scoring criterion；
Step 4) is matched according to above weight, generates the fraction of different key business indexs according to the marking of the influence event,
Ultimately generate whole school's business combined index.
2. colleges and universities' core business index scoring method according to claim 1 based on big data, it is characterised in that step
1) in, specifically include：
The core business index of school is split into multiple key business indexs, and by each index give a definition different influences because
Son；
According to the concrete condition of itself school, by weight ratio corresponding to different indexs and factor of influence manual allocation.
3. colleges and universities' core business index scoring method according to claim 1 or 2 based on big data, it is characterised in that
In step 1), including：By the different influence event types of each factor of influence fractionation positively and negatively.
4. colleges and universities' core business index scoring method according to claim 1 or 2 based on big data, it is characterised in that
In step 2), specifically include：
Obtain the event data collection of input, the event data, which is concentrated, includes in a certain event section the influence event of generation and secondary
Number；
Different segments is gone out according to the distribution situation dynamic quantization of event data, using the data set of same segment as one
Individual measure standard simultaneously quantifies component number.
5. colleges and universities' core business index scoring method according to claim 1 or 2 based on big data, it is characterised in that
In step 3), specifically include：
To the data set of dynamic input, different segments is gone out according to the distribution situation dynamic quantization of data and provides corresponding beat
Point.
6. colleges and universities' core business index scoring method according to claim 1 or 2 based on big data, it is characterised in that
In step 4), specifically include：
The marking of event times generation generates the fraction of the factor according to weight, and factor fraction weights again to be generated key business and refer to
Fraction is marked, operational indicator fraction finally weights the combined index for generating whole school.
7. a kind of colleges and universities' core business index scoring system based on big data, including：
Data split cells, the core business of school is quantified and splits into key business index, and each is crucial
Index splits into factor of influence and influence event；
Three key index, the factor, event levels are subjected to weight proportioning；
Data training unit, the influence event data collection of input is obtained, it is raw by dynamic discrete quantization algorithm training data, dynamic
Into scoring criterion；
Marking unit, inputs new influence event data, and given a mark according to above scoring criterion；
Index generation unit, according to the marking of the influence event, matched according to above weight, generate different key business indexs
Fraction, ultimately generate whole school's business combined index.
8. colleges and universities' core business index scoring system according to claim 7 based on big data, it is characterised in that described
Data split cells, is further used for：
The core business index of school is split into multiple key business indexs, and by each index give a definition different influences because
Son；
According to the concrete condition of itself school, by weight ratio corresponding to different indexs and factor of influence manual allocation.
9. colleges and universities' core business index scoring system based on big data according to claim 7 or 8, it is characterised in that
The data split cells, further user split each factor of influence different influence event types positively and negatively.
10. colleges and universities' core business index scoring system based on big data according to claim 7 or 8, it is characterised in that
The data training unit, is further used for：
Obtain the event data collection of input, the event data, which is concentrated, includes in a certain event section the influence event of generation and secondary
Number；
Different segments is gone out according to the distribution situation dynamic quantization of event data, using the data set of same segment as one
Individual measure standard simultaneously quantifies component number.
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Application publication date: 20180109 |