CN109389178A - A kind of maintenance factory's ranking method, system and electronic equipment and storage medium - Google Patents
A kind of maintenance factory's ranking method, system and electronic equipment and storage medium Download PDFInfo
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- CN109389178A CN109389178A CN201811259499.2A CN201811259499A CN109389178A CN 109389178 A CN109389178 A CN 109389178A CN 201811259499 A CN201811259499 A CN 201811259499A CN 109389178 A CN109389178 A CN 109389178A
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Abstract
This application discloses a kind of maintenance factory's ranking method, system and a kind of electronic equipment and computer readable storage mediums, this method comprises: obtaining the characteristic of maintenance factory；K mean cluster operation is carried out to all characteristics and obtains K Ge Lei race；Wherein, K is positive integer；The mapping relations of K Ge Lei race Yu K grade are established, and maintenance factory's rating result is obtained according to the K grade.Maintenance factory's ranking method provided by the present application characterizes the maintainability of maintenance factory by characteristic, carries out K mean cluster operation to all characteristics and obtains K Ge Lei race, K grade of corresponding evaluation result.In the ranking process of maintenance factory, unsupervised algorithm is realized, avoids the inaccuracy of rating result caused by artificial subjective factor.
Description
Technical field
This application involves automobile technical fields, more specifically to a kind of maintenance factory's ranking method, system and a kind of electricity
Sub- equipment and a kind of computer readable storage medium.
Background technique
In the numerous Automobile Service Factories in the whole nation, the Automobile Service Factory of different technologies level provides vehicle diagnosis, dimension for customer
The service of repairing, due to the difference of the factors such as region, the entire period of actual operation and experience accumulation, the required level of service of every maintenance technique is good at
Auto repair in terms of it is also different.Therefore, in order to provide profession, good automobile inspection service to customer, and convenient for pair
Maintenance factory carries out operation management, and promotes its required level of service, needs to carry out grading management to maintenance factory.
In the prior art in maintenance factory's ranking method, qualitative subjective ranking method is mostly used greatly, such as according to the length of service, visitor
Family satisfaction, technical level total marks of the examination etc. grade to maintenance factory.The above method is laid down a regulation according to artificial experience, mistake
Screen selects the technician group of each rank.By set key index, can only from a certain respect measure technician's technical level, by
Subjectivity setting influences, can not comprehensive, objective assessment maintenance factory ability.Secondly, routine check fixture having time time limit, Wu Faji
When service technician made timely update and higher cost, influence evaluation and selection of the client to maintenance factory.
Therefore, how the practical maintainability of objective appraisal maintenance factory, which is those skilled in the art, needs the technology that solves
Problem.
Summary of the invention
The application's is designed to provide a kind of maintenance factory's ranking method, system and a kind of electronic equipment and a kind of computer
Readable storage medium storing program for executing, the practical maintainability of objective appraisal maintenance factory.
To achieve the above object, this application provides a kind of maintenance factory's ranking methods, comprising:
Obtain the characteristic of maintenance factory；
K mean cluster operation is carried out to all characteristics and obtains K Ge Lei race；Wherein, K is positive integer；
The mapping relations of K Ge Lei race Yu K grade are established, and maintenance factory's grading knot is obtained according to the K grade
Fruit.
Wherein, the characteristic for obtaining maintenance factory, comprising:
All orders report of the maintenance factory is obtained, and the dimension is generated according to each data item in order report
Repair the characteristic of each characteristic item of factory.
Wherein, after the characteristic for obtaining maintenance factory, further includes:
All characteristics are pre-processed, standardized feature data are obtained.
Wherein, the mapping relations of K Ge Lei race Yu K grade are established, comprising:
The integrated value of the characteristic in each class race is calculated using statistical algorithms, and according to all synthesis
Value establishes the mapping relations of K Ge Lei race Yu K grade；Wherein, the class race of the integrated value from low to high is corresponding by low
Grade is to high-grade grade.
Wherein, the integrated value that the characteristic in each class race is calculated using statistical algorithms, comprising:
The mean value of the characteristic in each class race is calculated, and using the mean value as the integrated value.
Wherein, further includes:
When receiving maintenance requirements, the corresponding maintenance factory of the maintenance requirements is generated according to maintenance factory's rating result
Recommendation results.
Wherein, described pair of all characteristics carry out K mean cluster operation and obtain K Ge Lei race, comprising:
K cluster centre point of K Ge Lei race is chosen, and determines class race belonging to each characteristic；
The K cluster centre point is updated according to characteristic all in each class race and characteristic quantity,
And class race belonging to each characteristic is redefined, until the distortion function of each class race is restrained, obtain the K
Ge Lei race.
To achieve the above object, this application provides a kind of maintenance factory's rating systems, comprising:
Module is obtained, for obtaining the characteristic of maintenance factory；
Categorization module obtains K Ge Lei race for carrying out K mean cluster operation to all characteristics；Wherein, K is
Positive integer；
Grading module, obtains for establishing the mapping relations of K Ge Lei race Yu K grade, and according to the K grade
Maintenance factory's rating result.
Wherein, all orders report for obtaining module and specially obtaining the maintenance factory, and according to the order report
Each data item in announcement generates the module of the characteristic of each characteristic item of the maintenance factory.
Wherein, further includes:
Preprocessing module obtains standardized feature data for pre-processing to all characteristics.
Wherein, the grading module includes:
Unit is established, for calculating the integrated value of the characteristic in each class race, and root using statistical algorithms
The mapping relations of K Ge Lei race Yu K grade are established according to all integrated values；Wherein, the integrated value is from low to high
Class race is corresponding by inferior grade to high-grade grade；
Grading unit, for obtaining maintenance factory's rating result according to the K grade.
Wherein, the unit of establishing is specially the mean value for calculating the characteristic in each class race, and according to all
The mean value establishes the unit of the mapping relations of K Ge Lei race and K grade.
Wherein, further includes:
Generation module, for generating the maintenance need according to maintenance factory's rating result when receiving maintenance requirements
Seek corresponding maintenance factory's recommendation results.
Wherein, the categorization module includes:
Selection unit for choosing K cluster centre point of K Ge Lei race, and determines each characteristic institute
The class race of category；
Updating unit, for updating the K according to characteristic all in each class race and characteristic quantity
A cluster centre point, and class race belonging to each characteristic is redefined, until the distortion function of each class race
Convergence, obtains K Ge Lei race.
To achieve the above object, this application provides a kind of electronic equipment, comprising:
Memory, for storing computer program；
Processor is realized when for executing the computer program such as the step of above-mentioned maintenance factory's ranking method.
To achieve the above object, this application provides a kind of computer readable storage medium, the computer-readable storages
It is stored with computer program on medium, realizes when the computer program is executed by processor such as above-mentioned maintenance factory's ranking method
Step.
By above scheme it is found that a kind of maintenance factory's ranking method provided by the present application, comprising: obtain the feature of maintenance factory
Data；K mean cluster operation is carried out to all characteristics and obtains K Ge Lei race；Wherein, K is positive integer；Establish the K
The mapping relations of Ge Lei race and K grade, and maintenance factory's rating result is obtained according to the K grade.
Maintenance factory's ranking method provided by the present application characterizes the practical maintainability of maintenance factory by characteristic, to institute
Some characteristics carry out K mean cluster operation and obtain K Ge Lei race, K grade of corresponding evaluation result.In the grading of maintenance factory
In the process, unsupervised algorithm is realized, the inaccuracy of rating result caused by artificial subjective factor is avoided.The application also public affairs
A kind of maintenance factory's rating system and a kind of electronic equipment and a kind of computer readable storage medium have been opened, above-mentioned skill is equally able to achieve
Art effect.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow chart of maintenance factory's ranking method disclosed in the embodiment of the present application；
Fig. 2 is the flow chart of another kind maintenance factory ranking method disclosed in the embodiment of the present application；
Fig. 3 is a kind of structure chart of maintenance factory's rating system disclosed in the embodiment of the present application；
Fig. 4 is the structure chart of a kind of electronic equipment disclosed in the embodiment of the present application；
Fig. 5 is the structure chart of another kind electronic equipment disclosed in the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
Conventionally, as causing rating result by subjective impact, rating result using qualitative subjective ranking method
It is not objective.Therefore, K mean cluster operation is carried out to all characteristics in this application and obtains K Ge Lei race, corresponding evaluation knot
The K grade of fruit.In the ranking process of maintenance factory, unsupervised algorithm is realized, artificial subjective factor is avoided and causes
Influence, improve the accuracy of rating result.
The embodiment of the present application discloses a kind of maintenance factory's ranking method, the practical maintainability of objective appraisal maintenance factory.
Referring to Fig. 1, a kind of flow chart of maintenance factory's ranking method disclosed in the embodiment of the present application, as shown in Figure 1, comprising:
S101: the characteristic of maintenance factory is obtained；
Each maintenance factory's sample corresponds to multiple characteristics in the present embodiment, and each characteristic indicates maintenance factory's one party
The maintainability in face may include maintenance number, maintenance vehicle, maintenance position, repair time, skill in trouble shooting and factory
Teacher's average maintenance ability etc..Data quantization is carried out to maintenance factory's behavior accordingly, maintenance factory's portrait is constructed by each characteristic.
Characteristic in this step can be the single feature data of the maintainability of expression maintenance factory in a certain respect,
Corresponding obtained rating result is the rating result of this aspect.Certain characteristic may be the comprehensive characteristics number of certain several respect
According to obtained rating result is the rating result in terms of these.In specific implementation, the characteristic data set of maintenance factory can be straight
It connects and is imported by the network port, can also be generated according to diagnosis report, will be described in detail in next embodiment.
It is as a preferred implementation manner, the accuracy for improving rating result, it can be right after obtaining characteristic
All characteristics are pre-processed, and standardized feature data are obtained.Data prediction is that model foundation is previous important
The step of, target is the quality data for allowing the data conversion that do not processed to use at suitable model, includes data scrubbing, data
It integrates, data convert, the content of four aspects of data regularization.The present embodiment mainly uses missing therein processing, abnormality processing
With standardization technology.
Its corresponding sample is directly deleted for missing data.Abnormal data is drawn by data visualization technique
The box figure of each continuous type characteristic, the characteristic index of abnormal data is found out from the distribution situation of characteristic, and is used
Pauta criterion rejecting abnormalities data.For standardization, Z-Score method, specific formula are used are as follows:
Wherein, X is a certain characteristic, and mean is the mean value of X, and std is the standard deviation of X.
S102: K mean cluster operation is carried out to all characteristics and obtains K Ge Lei race；Wherein, K is positive integer；
In specific implementation, the characteristic all using K mean cluster calculation process draws all characteristics
It is divided into K Ge Lei race, the opinion rating of a corresponding maintenance factory, each class race.Specific K mean cluster operation will be in next implementation
Example describes in detail.
S103: the mapping relations of K Ge Lei race Yu K grade are established, and maintenance factory is obtained according to the K grade and is commented
Grade result.
It is understood that after carrying out K mean cluster operation to above-mentioned all characteristic, each class race for marking off
A corresponding grade.Commenting for the corresponding maintenance factory of each characteristic can be obtained in the corresponding relationship for establishing class race and grade
Grade result.Specifically, can use the integrated value for the characteristic that statistical algorithms calculate in each class race, then to the synthesis
Value is ranked up, and corresponds to the grade from high to low of rating result from large to small.
As a preferred implementation manner, further include: when receiving maintenance requirements, according to maintenance factory's rating result
Generate the corresponding maintenance factory's recommendation results of the maintenance requirements.
In specific implementation, maintenance requirements may include the information such as maintenance position, subscription time, the recommendation results of maintenance factory
It is determined by maintenance factory's rating result.When recommending maintenance factory, it can only recommend the highest maintenance factory of integrated level, naturally it is also possible to
The rating result for representing the maintenance position is determined according to the maintenance position in maintenance requirements, this is met according to rating result recommendation
The best maintenance factory of maintenance requirements.Different maintenance prices can also be set for different grades of maintenance factory, due to its price
Difference can all recommend maintenance factory with each grade, specific to recommend principle that be tieed up according to the idle state of the maintenance factory, this month
Repair the decision of the other informations such as number, art technology can sets itself associated recommendation principle according to actual needs, do not make herein
It is specific to limit.
Maintenance factory's ranking method provided by the embodiments of the present application characterizes the practical maintenance energy of maintenance factory by characteristic
Power carries out K mean cluster operation to all characteristics and obtains K Ge Lei race, K grade of corresponding evaluation result.It is repairing
In the ranking process of factory, unsupervised algorithm is realized, avoids the inaccuracy of rating result caused by artificial subjective factor.
The embodiment of the present application discloses a kind of maintenance factory's ranking method, and relative to a upper embodiment, the present embodiment is to technology
Scheme has made further instruction and optimization.It is specific:
Referring to fig. 2, the flow chart of another maintenance factory ranking method provided by the embodiments of the present application, as shown in Fig. 2, packet
It includes:
S201: all orders report of the maintenance factory is obtained, and is generated according to each data item in order report
The characteristic of each characteristic item of the maintenance factory；
In specific implementation, all orders of the maintenance factory uploaded according to terminal are reported, are extracted in order report as examined
The data item such as time, maintenance position are repaired, and are translated into the characteristic item of characteristic, is the theme with maintenance factory, carries out feature
The excavation of data generates the corresponding characteristic of each characteristic item.
S202: K cluster centre point of K Ge Lei race is chosen, and determines class race belonging to each characteristic；
In specific implementation, K cluster centre point, respectively μ are chosen first1、μ2、μ3…μK∈Rn, and according to following public affairs
Formula calculates class race c belonging to the corresponding sample i of each characteristic(i), that is, determine between characteristic and K cluster centre point
The corresponding class race of Euclidean distance minimum value:
c(i)=argmin | | X(i)-μj||2；
Wherein, X(i)For the characteristic of sample i, j is class race.
S203: it is updated in the K cluster according to characteristic all in each class race and characteristic quantity
Heart point, and class race belonging to each characteristic is redefined, until the distortion function of each class race is restrained, obtain
K Ge Lei race.
In specific implementation, each cluster centre point is updated by more new formula, and redefined described in each sample
Class race constantly repeats this process until distortion function J (c, μ) convergence, then completion of classifying.
More new formula are as follows:
Wherein,For the sum of the characteristic of all samples in class race j,For in class race j
Number of samples.
Distortion function J (c, μ) are as follows:
The corresponding characteristic of i.e. all samples is to the center of its affiliated class race
Euclidean distance quadratic sum.
S204: the integrated value of the characteristic in each class race is calculated using statistical algorithms, and according to all institutes
State the mapping relations that integrated value establishes K Ge Lei race Yu K grade；Wherein, the class race of the integrated value from low to high is corresponding
By inferior grade to high-grade grade；
The present embodiment is not defined specific statistical algorithms, for example, mean algorithm can be used, i.e., to each class
All characteristics in race calculate mean value, and the mean value is carried out sequence from large to small, and ranking results correspond to from high to low
Grade from high to low.It is, of course, also possible to using other statistical algorithms such as median, standard deviation are taken.
S205: maintenance factory's rating result is obtained according to the K grade.
A kind of maintenance factory's rating system provided by the embodiments of the present application is introduced below, a kind of maintenance described below
Factory's rating system can be cross-referenced with a kind of above-described maintenance factory's ranking method.
Referring to Fig. 3, a kind of structure chart of maintenance factory's rating system provided by the embodiments of the present application, as shown in Figure 3, comprising:
Module 301 is obtained, for obtaining the characteristic of maintenance factory；
Categorization module 302 obtains K Ge Lei race for carrying out K mean cluster operation to all characteristics；Wherein, K
For positive integer；
Grading module 303, for establishing the mapping relations of K Ge Lei race Yu K grade, and according to the K grade
Obtain maintenance factory's rating result.
Maintenance factory's rating system provided by the embodiments of the present application characterizes the practical maintenance energy of maintenance factory by characteristic
Power carries out K mean cluster operation to all characteristics and obtains K Ge Lei race, K grade of corresponding evaluation result.It is repairing
In the ranking process of factory, unsupervised algorithm is realized, avoids the inaccuracy of rating result caused by artificial subjective factor.
On the basis of the above embodiments, the acquisition module 301 is specially to obtain institute as a preferred implementation manner,
All orders report of maintenance factory is stated, and generates each characteristic item of the maintenance factory according to each data item in order report
Characteristic module.
On the basis of the above embodiments, as a preferred implementation manner, further include:
Preprocessing module obtains standardized feature data for pre-processing to all characteristics.
On the basis of the above embodiments, the grading module 303 includes: as a preferred implementation manner,
Unit is established, for calculating the integrated value of the characteristic in each class race, and root using statistical algorithms
The mapping relations of K Ge Lei race Yu K grade are established according to all integrated values；Wherein, the integrated value is from low to high
Class race is corresponding by inferior grade to high-grade grade；
Grading unit, for obtaining maintenance factory's rating result according to the K grade.
On the basis of the above embodiments, the unit of establishing is specially described in calculating as a preferred implementation manner,
The mean value of characteristic in each class race, and mapping pass of the K Ge Lei race with K grade is established according to all mean values
The unit of system.
On the basis of the above embodiments, as a preferred implementation manner, further include:
Generation module, for generating the maintenance need according to maintenance factory's rating result when receiving maintenance requirements
Seek corresponding maintenance factory's recommendation results.
On the basis of the above embodiments, the categorization module 302 includes: as a preferred implementation manner,
Selection unit for choosing K cluster centre point of K Ge Lei race, and determines each characteristic institute
The class race of category；
Updating unit, for updating the K according to characteristic all in each class race and characteristic quantity
A cluster centre point, and class race belonging to each characteristic is redefined, until the distortion function of each class race
Convergence, obtains K Ge Lei race.
Present invention also provides a kind of electronic equipment, referring to fig. 4, the knot of a kind of electronic equipment provided by the embodiments of the present application
Composition, as shown in Figure 4, comprising:
Memory 100, for storing computer program；
Step provided by above-described embodiment may be implemented in processor 200 when for executing the computer program.
Specifically, memory 100 includes non-volatile memory medium, built-in storage.Non-volatile memory medium storage
There are operating system and computer-readable instruction, which is that the operating system and computer in non-volatile memory medium can
The operation of reading instruction provides environment.Processor 200 provides calculating and control ability for electronic equipment, executes the memory 100
When the computer program of middle preservation, following steps may be implemented: obtaining the characteristic of maintenance factory；To all characteristics
It carries out K mean cluster operation and obtains K Ge Lei race；Wherein, K is positive integer；It establishes K Ge Lei race and the mapping of K grade is closed
System, and maintenance factory's rating result is obtained according to the K grade.
The embodiment of the present application characterizes the practical maintainability of maintenance factory by characteristic, carries out to all characteristics
K mean cluster operation obtains K Ge Lei race, K grade of corresponding evaluation result.In the ranking process of maintenance factory, nothing is realized
The algorithm of supervision avoids the inaccuracy of rating result caused by artificial subjective factor.
Preferably, it when the processor 200 executes the computer subprogram saved in the memory 100, may be implemented
Following steps: all orders report of the maintenance factory is obtained, and according to each data item generation in order report
The characteristic of each characteristic item of maintenance factory.
Preferably, it when the processor 200 executes the computer subprogram saved in the memory 100, may be implemented
Following steps: all characteristics are pre-processed, standardized feature data are obtained.
Preferably, it when the processor 200 executes the computer subprogram saved in the memory 100, may be implemented
Following steps: the integrated value of the characteristic in each class race is calculated using statistical algorithms, and according to all described comprehensive
Conjunction value establishes the mapping relations of K Ge Lei race Yu K grade；Wherein, the class race of the integrated value from low to high is corresponding by low
Grade is to high-grade grade.
Preferably, it when the processor 200 executes the computer subprogram saved in the memory 100, may be implemented
Following steps: the mean value of the characteristic in each class race is calculated, and using the mean value as the integrated value.
Preferably, it when the processor 200 executes the computer subprogram saved in the memory 100, may be implemented
Following steps: when receiving maintenance requirements, the corresponding maintenance of the maintenance requirements is generated according to maintenance factory's rating result
Factory's recommendation results.
Preferably, it when the processor 200 executes the computer subprogram saved in the memory 100, may be implemented
Following steps: K cluster centre point of K Ge Lei race is chosen, and determines class race belonging to each characteristic；According to
All characteristics and characteristic quantity update the K cluster centre point in each class race, and redefine every
Class race belonging to a characteristic obtains K Ge Lei race until the distortion function of each class race is restrained.
On the basis of the above embodiments, preferably, referring to Fig. 5, the electronic equipment further include:
Input interface 300 is connected with processor 200, for obtaining computer program, parameter and the instruction of external importing,
It saves through the control of processor 200 into memory 100.The input interface 300 can be connected with input unit, and it is manual to receive user
The parameter or instruction of input.The input unit can be the touch layer covered on display screen, be also possible to be arranged in terminal enclosure
Key, trace ball or Trackpad, be also possible to keyboard, Trackpad or mouse etc..
Display unit 400 is connected with processor 200, the data sent for video-stream processor 200.The display unit 400
It can be display screen, liquid crystal display or the electric ink display screen etc. in PC machine.It, can be with specifically, in the present embodiment
Rating result and the recommendation results etc. of maintenance factory are shown by display unit 400.
The network port 500 is connected with processor 200, for being communicatively coupled with external each terminal device.The communication link
The communication technology used by connecing can be cable communicating technology or wireless communication technique, and such as mobile high definition chained technology (MHL) leads to
It is blue with universal serial bus (USB), high-definition media interface (HDMI), adopting wireless fidelity technology (WiFi), Bluetooth Communication Technology, low-power consumption
The tooth communication technology, communication technology based on IEEE802.11s etc..Specifically, in the present embodiment, the network port can be passed through
500 import characteristic etc. to processor 200.
Present invention also provides a kind of computer readable storage medium, the storage medium may include: USB flash disk, mobile hard disk,
Read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic
The various media that can store program code such as dish or CD.Computer program, the calculating are stored on the storage medium
Machine program performs the steps of the characteristic for obtaining maintenance factory when being executed by processor；K is carried out to all characteristics
Mean cluster operation obtains K Ge Lei race；Wherein, K is positive integer；The mapping relations of K Ge Lei race Yu K grade are established, and
Maintenance factory's rating result is obtained according to the K grade.
The embodiment of the present application characterizes the practical maintainability of maintenance factory by characteristic, carries out to all characteristics
K mean cluster operation obtains K Ge Lei race, K grade of corresponding evaluation result.In the ranking process of maintenance factory, nothing is realized
The algorithm of supervision avoids the inaccuracy of rating result caused by artificial subjective factor.
Preferably, when the computer subprogram stored in the computer readable storage medium is executed by processor, specifically
Following steps may be implemented: obtaining all orders report of the maintenance factory, and according to each data item in order report
Generate the characteristic of each characteristic item of the maintenance factory.
Preferably, when the computer subprogram stored in the computer readable storage medium is executed by processor, specifically
Following steps may be implemented: all characteristics being pre-processed, standardized feature data are obtained.
Preferably, when the computer subprogram stored in the computer readable storage medium is executed by processor, specifically
Following steps may be implemented: calculating the integrated value of the characteristic in each class race using statistical algorithms, and according to institute
There is the integrated value to establish the mapping relations of K Ge Lei race Yu K grade；Wherein, the class race of the integrated value from low to high
It corresponds to by inferior grade to high-grade grade.
Preferably, when the computer subprogram stored in the computer readable storage medium is executed by processor, specifically
Following steps may be implemented: calculating the mean value of the characteristic in each class race, and using the mean value as the synthesis
Value.
Preferably, when the computer subprogram stored in the computer readable storage medium is executed by processor, specifically
Following steps may be implemented: when receiving maintenance requirements, the maintenance requirements pair being generated according to maintenance factory's rating result
The maintenance factory's recommendation results answered.
Preferably, when the computer subprogram stored in the computer readable storage medium is executed by processor, specifically
Following steps may be implemented: choosing K cluster centre point of K Ge Lei race, and determine belonging to each characteristic
Class race；The K cluster centre point is updated according to characteristic all in each class race and characteristic quantity, is laid equal stress on
It newly determines class race belonging to each characteristic, until the distortion function of each class race is restrained, obtains the K class
Race.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration
?.It should be pointed out that for those skilled in the art, under the premise of not departing from the application principle, also
Can to the application, some improvement and modification can also be carried out, these improvement and modification also fall into the protection scope of the claim of this application
It is interior.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Claims (10)
1. a kind of maintenance factory's ranking method characterized by comprising
Obtain the characteristic of maintenance factory；
K mean cluster operation is carried out to all characteristics and obtains K Ge Lei race；Wherein, K is positive integer；
The mapping relations of K Ge Lei race Yu K grade are established, and maintenance factory's rating result is obtained according to the K grade.
2. maintenance factory's ranking method according to claim 1, which is characterized in that the characteristic for obtaining maintenance factory, packet
It includes:
All orders report of the maintenance factory is obtained, and the maintenance factory is generated according to each data item in order report
Each characteristic item characteristic.
3. maintenance factory's ranking method according to claim 1, which is characterized in that it is described obtain maintenance factory characteristic it
Afterwards, further includes:
All characteristics are pre-processed, standardized feature data are obtained.
4. maintenance factory's ranking method according to claim 1, which is characterized in that establish reflecting for K Ge Lei race and K grade
Penetrate relationship, comprising:
The integrated value of the characteristic in each class race is calculated using statistical algorithms, and is built according to all integrated values
Found the mapping relations of K Ge Lei race Yu K grade；Wherein, the class race of the integrated value from low to high corresponds to by inferior grade extremely
High-grade grade.
5. maintenance factory's ranking method according to claim 4, which is characterized in that described described every using statistical algorithms calculating
The integrated value of characteristic in Ge Lei race, comprising:
The mean value of the characteristic in each class race is calculated, and using the mean value as the integrated value.
6. maintenance factory's ranking method according to claim 1, which is characterized in that further include:
When receiving maintenance requirements, the corresponding maintenance factory of the maintenance requirements is generated according to maintenance factory's rating result and is recommended
As a result.
7. any one of -6 maintenance factory's ranking method according to claim 1, which is characterized in that described pair of all characteristic
K Ge Lei race is obtained according to K mean cluster operation is carried out, comprising:
K cluster centre point of K Ge Lei race is chosen, and determines class race belonging to each characteristic；
The K cluster centre point is updated according to characteristic all in each class race and characteristic quantity, is laid equal stress on
It newly determines class race belonging to each characteristic, until the distortion function of each class race is restrained, obtains the K class
Race.
8. a kind of maintenance factory's rating system characterized by comprising
Module is obtained, for obtaining the characteristic of maintenance factory；
Categorization module obtains K Ge Lei race for carrying out K mean cluster operation to all characteristics；Wherein, K is positive whole
Number；
Grading module, is repaired for establishing the mapping relations of K Ge Lei race Yu K grade, and according to the K grade
Factory's rating result.
9. a kind of electronic equipment characterized by comprising
Memory, for storing computer program；
Processor realizes maintenance factory's ranking method as described in any one of claim 1 to 7 when for executing the computer program
The step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, realizing maintenance factory's ranking method as described in any one of claim 1 to 7 when the computer program is executed by processor
Step.
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