CN107767050A - A kind of employee is diligent to spend acquisition methods and device - Google Patents
A kind of employee is diligent to spend acquisition methods and device Download PDFInfo
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Abstract
The invention provides a kind of diligent degree acquisition methods of employee and device, it is related to data processing field.Methods described obtains multiple first data that the diligent degree of employee is corresponded in data source first, and multiple first data are standardized and obtain data source set, the data source set includes multiple second data, then data source set is imported into preset model design module, and weight corresponding to each second data in multiple second data are calculated based on analytic hierarchy process (AHP), it is finally based on the diligent degree of preset formula, multiple second data and weight calculation employee corresponding to each second data.Employee provided by the invention is diligent, and the acquisition methods and device of spending can improve the objectivity of the diligent degree evaluation of employee, promote enterprise development.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of diligent degree acquisition methods of employee and device.
Background technology
At present, every enterprise is all made up of more or less employee, and employee turns into the essential element of enterprise, and
And the height of the general performance level of employee directly affects the quality of enterprise's total quality in enterprise, every enterprise is intended to
The employee of oneself has high-quality and high professional qualification, is provided respectively moreover, most of enterprise is always the relatively good employee of general performance
Kind of training and the chance of study, and the relatively good employee of general performance could obtain the December bonus of higher proportion.Therefore, look forward to
Industry every year, quarterly, even monthly can all notice the performance of each employee, finally be determined according to the general performance of this employee
Whether to this employee pay rise or promote.
But the evaluation method of the existing diligent degree of employee assesses what is realized often by artificial, the process of assessment is mixed
Subjective factor, the problem of evaluation inaccuracy to the diligent degree of employee can be caused, so as to influenceing the development of enterprise.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of diligent degree acquisition methods of employee and device, to carry
The objectivity of the high diligent degree evaluation of employee, promotes enterprise development.
In a first aspect, the embodiments of the invention provide a kind of diligent degree acquisition methods of employee, methods described includes：Obtain number
Acquisition number is standardized according to multiple first data for the diligent degree that employee is corresponded in source, and by the multiple first data
Gather according to source, the data source set includes multiple second data；The data source set preset model is designed into module, and base
Weight corresponding to each second data in the multiple second data is calculated in analytic hierarchy process (AHP)；Based on preset formula, described
The diligent degree of employee described in weight calculation corresponding to multiple second data and each second data.
It is above-mentioned based on preset formula, the multiple second data and described each in preferred embodiments of the present invention
After the diligent degree of employee described in weight calculation corresponding to second data, in addition to：Diligent degree based on the employee forms institute
There is the diligent degree set of standard of employee；The diligent degree of each standard in the diligent degree set of the standard is post-processed, formed
The diligent degree set of employee.
In preferred embodiments of the present invention, the above-mentioned diligent degree of each standard by the diligent degree set of the standard is carried out
Post processing, the diligent degree set of employee is formed, including：Locate after the diligent degree of each standard in the diligent degree set of the standard is carried out
Manage and obtain the diligent degree fraction maximum of the standard after post processing and the diligent degree fraction minimum value of standard；It is public based on default mapping
The diligent degree set of formula, employee's standard, the diligent degree fraction maximum of the standard and the diligent degree fraction of the standard are minimum
Value forms the diligent degree set of employee.
It is above-mentioned that the multiple first data are standardized acquisition data source in preferred embodiments of the present invention
Set, including：The multiple first data are quantified to obtain the first data acquisition system X={ X1、X2…Xi…Xn, wherein, n
∈ (0 ,+∞)；The maximum X of each data in first data acquisition system is determined based on first data acquisition systemimaxWith
Minimum value Ximin；According to Zi=(Xi-Ximin)/(Ximax-Ximin) the multiple first data are standardized and formed
Standardize the first data acquisition system Z={ Z1、Z2…Zi…Zn, wherein, n ∈ (0 ,+∞)；By the first data acquisition system of the standardization
Integrate processing and obtain the data source set.
It is above-mentioned based on preset formula, the multiple second data and described each in preferred embodiments of the present invention
The diligent degree of employee described in weight calculation corresponding to second data, including：It is based onCalculate the diligent of the employee
Degree, wherein, G be employee diligent degree, kiFor weight, S is data source set.
Second aspect, the embodiments of the invention provide a kind of diligent degree acquisition device of employee, described device includes：Data source
Pretreatment module, multiple first data of the diligent degree of employee are corresponded in data source for obtaining, and the multiple first is counted
Data source set is obtained according to being standardized, the data source set includes multiple second data；Weight distribution module, use
In the data source set preset model is designed into module, and calculated based on analytic hierarchy process (AHP) every in the multiple second data
Weight corresponding to individual second data；Module is calculated, for based on preset formula, the multiple second data and described each the
The diligent degree of employee described in weight calculation corresponding to two data.
In preferred embodiments of the present invention, said apparatus, in addition to：The diligent degree set of standard forms module, for base
The diligent degree set of standard of all employees is formed in the diligent degree of the employee；Employee is diligent, and degree set forms module, for inciting somebody to action
The diligent degree of each employee in the diligent degree set of standard is post-processed, and forms the diligent degree set of employee.
In preferred embodiments of the present invention, the above-mentioned diligent degree set of employee forms module, including：Diligent degree fraction obtains
Submodule, for being post-processed the diligent degree of each standard in the diligent degree set of the standard and obtaining the mark after post processing
The diligent degree fraction minimum value of accurate diligent degree fraction maximum and standard；Employee is diligent, and degree set forms submodule, for based on pre-
If the diligent degree set of mapping equation, employee's standard, the diligent degree fraction maximum of the standard and the diligent degree of the standard
Fraction minimum value forms the diligent degree set of employee.
In preferred embodiments of the present invention, above-mentioned data source pretreatment module, including：Data quantization submodule, is used for
The multiple first data are quantified to obtain the first data acquisition system X={ X1、X2…Xi…Xn, wherein, n ∈ (0 ,+∞)；
Data value determination sub-module, for determining each data in first data acquisition system based on first data acquisition system most
Big value XimaxWith minimum value Ximin；Standardization submodule, for basisTo described
Multiple first data are standardized and form the first data acquisition system Z={ Z of standardization1、Z2…Zi…Zn, wherein, n ∈
(0 ,+∞)；Data source set acquisition submodule, the data are obtained for the first data acquisition system of the standardization to be integrated into processing
Gather in source.
In preferred embodiments of the present invention, above-mentioned measuring and calculating module, including：Calculate submodule, for based onCalculate the diligent degree of the employee, wherein, G be employee diligent degree, kiFor weight, S is data source set.
Compared with prior art, the diligent degree acquisition methods of employee and device that various embodiments of the present invention provide obtain number first
According to multiple first data that the diligent degree of employee is corresponded in source, and multiple first data are standardized and obtain data source collection
To close, the data source set includes multiple second data, and data source set preset model then is designed into module, and based on level point
Weight corresponding to each second data in multiple second data of analysis method calculating, is finally based on preset formula, multiple second data
And the diligent degree of weight calculation employee corresponding to each second data, so as to improve the objective of the diligent degree evaluation of employee
Property, promote enterprise development.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the structured flowchart of electronic equipment provided in an embodiment of the present invention；
Fig. 2 is the schematic flow sheet for the diligent degree acquisition methods of employee that first embodiment of the invention provides；
Fig. 3 is the first framework of the diligent degree of employee provided in an embodiment of the present invention；
Fig. 4 is second of framework of the diligent degree of employee provided in an embodiment of the present invention；
Fig. 5 is the third framework of the diligent degree of employee provided in an embodiment of the present invention；
Fig. 6 is the schematic flow sheet for the diligent degree acquisition methods of employee that second embodiment of the invention provides；
Fig. 7 is the structured flowchart for the diligent degree acquisition device of employee that third embodiment of the invention provides.
Embodiment
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Generally exist
The component of the embodiment of the present invention described and illustrated in accompanying drawing can be configured to arrange and design with a variety of herein.Cause
This, the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit claimed invention below
Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing
The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent accompanying drawing in individual accompanying drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, and it is not intended that instruction or hint relative importance.
As shown in figure 1, it is the block diagram of electronic equipment 100.The electronic equipment 100 includes：Employee is diligent, and degree obtains
Take device, memory 110, storage control 120, processor 130, Peripheral Interface 140, input-output unit 150, audio unit
160th, display unit 170.
The memory 110, storage control 120, processor 130, Peripheral Interface 140, input-output unit 150, sound
Frequency unit 160 and 170 each element of display unit are directly or indirectly electrically connected between each other, with realize the transmission of data or
Interaction.It is electrically connected with for example, these elements can be realized by one or more communication bus or signal wire between each other.The member
The diligent degree acquisition device of work can be stored in the memory including at least one in the form of software or firmware (firmware)
Or it is solidificated in the software function module in the operating system (operating system, OS) of the client device.The place
Reason device 130 is used to performing the executable module that is stored in memory 110, for example, the diligent degree acquisition device of the employee include it is soft
Part functional module or computer program.
Wherein, memory 110 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memory 110 is used for storage program, and the processor 130 performs described program after execute instruction is received, foregoing
The method performed by server that the stream process that any embodiment of the embodiment of the present invention discloses defines can apply to processor 130
In, or realized by processor 130.
Processor 130 is probably a kind of IC chip, has the disposal ability of signal.Above-mentioned processor 130 can
To be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), application specific integrated circuit (ASIC),
Ready-made programmable gate array (FPGA) either other PLDs, discrete gate or transistor logic, discrete hard
Part component.It can realize or perform disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor
Can be microprocessor or the processor can also be any conventional processor etc..
Various input/output devices are coupled to processor 130 and memory 110 by the Peripheral Interface 140.At some
In embodiment, Peripheral Interface 140, processor 130 and storage control 120 can be realized in one single chip.Other one
In a little examples, they can be realized by independent chip respectively.
Input-output unit 150 is used to be supplied to user input data to realize interacting for user and electronic equipment 100.It is described
Input-output unit 150 may be, but not limited to, mouse and keyboard etc..
Audio unit 160 provides a user COBBAIF, and it may include one or more microphones, one or more raises
Sound device and voicefrequency circuit.
Display unit 170 provides an interactive interface (such as user interface) between electronic equipment 100 and user
Or referred to for display image data to user.In the present embodiment, the display unit 170 can be liquid crystal display or touch
Control display.If touch control display, it can be that the capacitance type touch control screen or resistance-type for supporting single-point and multi-point touch operation touch
Control screen etc..Single-point and multi-point touch operation is supported to refer to that touch control display can sense on the touch control display one or more
Individual opening position is with caused touch control operation, and the touch control operation that this is sensed transfers to processor 130 to be calculated and handled.
First embodiment
Fig. 2 is refer to, Fig. 2 is a kind of flow signal for the diligent degree acquisition methods of employee that first embodiment of the invention provides
Figure.The flow shown in Fig. 2 will be described in detail below, methods described includes：
Step S110：Multiple first data that the diligent degree of employee is corresponded in data source are obtained, and by the multiple first
Data, which are standardized, obtains data source set, and the data source set includes multiple second data.
As an embodiment of the present embodiment, server obtains multiple first data of the diligent degree of corresponding employee, its
In, first data can be that employee asks for leave duration, the late number of employee, employee's extension man-hour and staffing effectiveness etc.
Deng not doing specific restriction herein.In practice process, multiple first data can by server can by receive user end
Hold send data acquisition, can also by server in the database pre-set searching data source obtain, it is preferred that this
In embodiment, multiple first data of the diligent degree of corresponding employee in data source are obtained.
Further, multiple first data are standardized and obtain data source set, by the data source set
It is designated as S.As a kind of mode, multiple first data of acquisition are quantified first, obtain the first data acquisition system X={ X1、
X2…Xi…Xn, wherein, n ∈ (0 ,+∞), then determine each data in the first data acquisition system most based on the first data acquisition system
Big value XimaxWith minimum value Ximin, specifically, maximum X can be drawn by the data compared in XiimaxWith minimum value Ximin,
Then basisMultiple first data are standardized, then by standardized data
It is incorporated into set, forms the first data acquisition system Z={ Z of standardization1、Z2…Zi…Zn, wherein, n ∈ (0 ,+∞) finally, will
Standardize the first data acquisition system Z to be incorporated into data source pretreatment module, obtain data source set.It is described as a kind of mode
Data source set includes multiple standardized datas, and standardized data is designated as into the second data.
For example, the data in data source are quantified, obtained data acquisition system X={ X1、X2…Xi…Xn, wherein wrapping
Include X1=employee asks for leave duration, X2=employee is late number, X3=employee extends man-hour duration, X4=staffing effectiveness fraction,
Certain employee asks for leave duration X1a=6, be late number X2a=2, X3a=24, extend man-hour duration X4a=6.Then X is comparediIn number
According to drawing maximum XimaxWith minimum value Ximin, including：X1max=12, X1min=0, X2max=5, X2min=0, X3max=
24, X3min=4, X4max=7, X4min=4, further according toData are standardized with place
Reason, obtains Z1a=0.5, Z2a=0.4, Z3a=1, Z4a=0.67, finally standardized data is incorporated into data acquisition system, forms Z
={ Z1、Z2…Zi…Zn, standardized data set Z is incorporated into data source pretreatment module, obtains data source set.
Step S120：The data source set preset model is designed into module, and it is described more based on analytic hierarchy process (AHP) calculating
Weight corresponding to each second data in individual second data.
In the present embodiment, set in the server in advance and be stored with modelling module, by the modelling mould
Block is used for follow-up calculating as preset model design module.Wherein, the module designs module by target submodule G, parameter
Submodule TiWith data submodule PiComposition, wherein, target submodule G is used to calculate the diligent degree of employee, parameter sub-module TiBy mesh
Mark submodule G decomposes to obtain, and is to determine to calculate target and the reference factor that decomposes, data submodule PiTo calculate target
Module G data, obtained by the reference factor decomposed in parameter sub-module or directly obtained by target submodule.Further
, target submodule G is made up of parameter sub-module or at least one data submodule, and parameter sub-module is by least one data
Module forms, and parameter sub-module can be zero, and preferred parameter submodule is at least one.Further, per item data submodule
Block PiCorresponded respectively with the second data in the data source set described in data source processing module.
For example, target submodule G is defined as " the diligent degree of employee " G, parameter sub-module TiIt is positioned as " employee attendance's degree " T1With
" Staff activity " T2, data submodule Pi" duration of asking for leave " P can be positioned as according to parameter sub-module1, " late number " P2,
" extending man-hour " P3And " operating efficiency " P4。
Further, multiple second data in data source set are imported in preset model design module, and is based on layer
Weight corresponding to each second data in multiple second data of fractional analysis calculating, that is, obtain corresponding to each data submodule
Weight.Specifically, using importance and numerical value described by 1-9 scaling laws, it is directed into multilevel iudge matrix, further
To decision matrix model, lateral parameter product in decision matrix model is calculated, the n powers of horizontal product are further calculated
Root, by the n th Root composition of vector to horizontal product, by calculating the characteristic vector of vector acquirement decision matrix, calculating is determined
The Maximum characteristic root of plan matrix, decision matrix coincident indicator is calculated, utilizes decision matrix coincident indicator and random uniformity
Index calculates Consistency Ratio, sets Consistency Ratio standard as 0.1, when Consistency Ratio is less than 0.1, then it is assumed that decision-making square
Battle array has uniformity, when value is more than 0.1, it is necessary to reconfigure according to the numerical value described in 1-9 scaling laws.
As shown in figure 3, as first way, its comparator matrix is：
It is after comparator matrix is transformed into judgement type matrix：
T1Matrix is respectively per the product of row element：m1=35, m2=3/25, m3=35, m4=1/147, its is corresponding n times
Root is：M1=2.43, M2=0.59, M3=2.43, M4=0.29, composition of vector Mτ1=[2.43 0.59 2.43 0.29]τ,
To vector Mτ1Normalization is carried out, W can be obtained1=0.42, W2=0.1, W3=0.42, W4=0.05, i.e. Wτ1=[0.42 0.1
0.42 0.05]τFor matrix T1Characteristic vector, and matrix T1Eigenvalue of maximum be 4.07, matrix T1Random uniformity refer to
Mark CIτ1=(4.07-4)/(4-1)=0.023, Consistency Ratio RIτ1=0.023/0.90=0.026 ＜ 0.1, therefore matrix has
There is satisfied uniformity, otherwise need to adjust matrix according to 1-9 Scale Methods again.Matrix T can similarly be obtained2Characteristic vector be
Mτ2=[0.15 0.04 0.19 0.62]τ, eigenvalue of maximum 4.2, matrix T2Coincident indicator CIτ2=0.07, random one
Cause sex rate RIτ2=0.08 ＜ 0.1, therefore matrix has satisfied uniformity, matrix G characteristic vector is WG=[0.25
0.75]τ, eigenvalue of maximum 2, CIG=RIG=0, therefore matrix has satisfied uniformity.
Further, diligent degree budget module H and each decision-making level's index L is that key dimension configuration module λ joins with computing
Digital-to-analogue block CiThe sum of products, the weight of each data submodule is：(j=1,2,3,4), can draw P1、
P2、P3、P4Weight be respectively 0.22,0.06,0.25 and 0.48 because each data submodule and each second data one
One correspondence, you can to obtain weight corresponding to each second data in multiple second data.
Fig. 4 is refer to, as the second way, its comparator matrix is：
It is after comparator matrix is transformed into judgment matrix：
T matrixes are per the product of row element：m1=5, m2=1/25, m3=5, its corresponding n th Root is：M1=1.71,
M2=0.34, M3=1.71, composition of vector Mτ=[1.71 0.34 1.71]τ, to vector MτNormalization is carried out, matrix can be obtained
T characteristic vector Wτ=[0.455 0.09 0.455]τ, eigenvalue of maximum 3, CI=RI=0, therefore matrix has satisfied one
Cause property, similarly for matrix G through examining also with satisfied uniformity, its characteristic vector is WG=[0.25 0.75]τ, further,
Now the angle value of turning out for work of the employee is：ta=0.455*0.50-0.09*0.40+0.455*1=0.1915.
Fig. 5 is refer to, as the third mode, its comparator matrix is：
It is after comparator matrix is transformed into judgment matrix：
Matrix is per the product of row element：m1=5/4, m2=1/175, m3=5/4, m4=112, its corresponding n th Root
For：M1=1.057, M2=0.257, M3=1.057, M4=3.253, composition of vector MG=[1.057 0.275 1.057
3.253]τ, matrix T characteristic vector W can be obtained to vectorial normalizationG=[0.187 0.049 0.187 0.577]τ, it is maximum
Characteristic root is 4.14, CI=0.046, RI=0.05 ＜ 0.1, therefore matrix G has satisfied uniformity, now, P1、P2、P3、P4
Weight be respectively 0.187,0.049,0.187 and 0.577.
Step S130：Based on weight corresponding to preset formula, the multiple second data and each second data
Calculate the diligent degree of the employee.
Further, after the weight corresponding to each data in obtaining multiple second data, based on preset formula, institute
The diligent degree of weight calculation employee corresponding to multiple second data and each second data is stated specifically, by multiple second
Weight corresponding to data source set and rice, each second data where data substitutes into formulaIt is diligent to calculate employee
Degree, wherein, G is the diligent degree of employee, kiFor weight, S is data source set.
For example, framework as shown in Figure 3, according to formulaWith the data of acquisition, it is known that the duty of the employee
Degree of putting forth energy G=0.25*0.2035+0.75*0.5144=0.44, it will be understood that if the diligent degree threshold value of employee after data processing is
[0,100], then the diligent degree fraction of the employee after processing is 44；Framework as shown in Figure 4, according to formulaAnd institute
The data of acquisition, it is known that the diligent degree G=0.1915*0.25+0.67*0.75=0.55 of employee, it will be understood that if data processing
The diligent degree threshold value of employee afterwards is [0,100], then the diligent degree fraction of the employee after processing is 55；Framework as shown in Figure 5, root
According to formulaWith acquired data, it is known that the diligent degree G=-0.187*0.5-0.049*0.4+0.187* of employee
1+0.67*0.577=0.46, it will be understood that if the diligent degree threshold value of employee after data processing is [0,100], then after processing
Employee it is diligent degree fraction be 46.
The diligent degree acquisition methods of employee that first embodiment of the invention provides obtain in data source that to correspond to employee diligent first
Multiple first data of degree, and multiple first data are standardized and obtain data source set, the data source set bag
Multiple second data are included, data source set preset model are then designed into module, and multiple second is calculated based on analytic hierarchy process (AHP)
Weight corresponding to each second data in data, it is finally based on preset formula, multiple second data and each second data
The diligent degree of corresponding weight calculation employee, so as to improve the objectivity of the diligent degree evaluation of employee, promote enterprise development.
Second embodiment
Fig. 6 is refer to, Fig. 6 is a kind of flow signal for the diligent degree acquisition methods of employee that second embodiment of the invention provides
Figure.The flow shown in Fig. 6 will be described in detail below, methods described includes：
Step S210：Multiple first data that the diligent degree of employee is corresponded in data source are obtained, and by the multiple first
Data, which are standardized, obtains data source set, and the data source set includes multiple second data.
Step S220：The data source set preset model is designed into module, and it is described more based on analytic hierarchy process (AHP) calculating
Weight corresponding to each second data in individual second data.
Step S230：Based on weight corresponding to preset formula, the multiple second data and each second data
Calculate the diligent degree of the employee.
Step S240：Diligent degree based on the employee forms the diligent degree set of standard of all employees.
In the present embodiment, after the diligent degrees of data of employee is obtained, the diligent degrees of data based on each employee forms institute
There is the diligent degree set of standard of employee, be designated as H={ G1、G2…Gi…Gn}。
Step S250：The diligent degree of each standard in the diligent degree set of the standard is post-processed, it is diligent to form employee
Degree of putting forth energy set.
Wherein, it is after the diligent degree set of standard for obtaining all employees, each standard in the diligent degree set of standard is diligent
Degree of putting forth energy is post-processed, and is formed the diligent degree set of employee, is designated as M.It is specifically, each standard in the diligent degree set of standard is diligent
Degree of putting forth energy is post-processed, and determines the diligent degree fraction maximum of employee and fraction minimum value of Data Post, wherein, fraction is most
Big value is designated as mmax, fraction minimum value is designated as mmin, it is then based on the diligent degree set of default mapping equation, employee's standard, standard duty
Degree of putting forth energy fraction maximum and the diligent degree fraction minimum value of standard form the diligent degree set of employee, specifically, the default mapping is public
Formula is F (h)=(hi-hmin)/(mmax-mmin), the data obtained according to above-mentioned mapping equation, it may be constructed the diligent degree collection of employee
Close M=(m1、m2…mi…mn)。
The diligent degree acquisition methods of employee that second embodiment of the invention provides obtain in data source that to correspond to employee diligent first
Multiple first data of degree, and multiple first data are standardized and obtain data source set, the data source set bag
Multiple second data are included, data source set preset model are designed into module, and multiple second data are calculated based on analytic hierarchy process (AHP)
In each second data corresponding to weight, it is corresponding to be then based on preset formula, multiple second data and each second data
Weight calculation employee diligent degree, the diligent degree set of standard that the diligent degree of employee forms all employees is finally based on, by standard
The diligent degree of each standard in diligent degree set is post-processed, and the diligent degree set of employee is formed, so as to improve employee's duty
The objectivity of degree of putting forth energy evaluation, promotes enterprise development.
3rd embodiment
Fig. 7 is refer to, Fig. 7 is a kind of structure for the diligent degree acquisition device 200 of employee that third embodiment of the invention provides
Block diagram.The structured flowchart shown in Fig. 7 will be illustrated below, the shown diligent degree acquisition device 200 of employee includes：Data source is pre-
The diligent degree set of processing module 210, weight distribution module 220, measuring and calculating module 230, standard forms module 240 and employee is diligent
Degree set forms module 250, wherein：
Data source pretreatment module 210, multiple first data of the diligent degree of employee are corresponded in data source for obtaining, and
The multiple first data are standardized and obtain data source set, the data source set includes the multiple second numbers
According to.As a kind of mode, the data source pretreatment module 210 includes：Data quantization submodule 211, data value determine submodule
Block 212, standardization submodule 213 and data source set acquisition submodule 214, wherein：
Data quantization submodule 211, for being quantified the multiple first data to obtain the first data acquisition system X=
{X1、X2…Xi…XnWherein, n ∈ (0 ,+∞).
Data value determination sub-module 212, for being determined based on first data acquisition system in first data acquisition system
The maximum X of each dataimaxWith minimum value Ximin。
Standardization submodule 213, for basisTo the multiple first
Data are standardized and form the first data acquisition system Z={ Z of standardization1、Z2…Zi…Zn, wherein, n ∈ (0 ,+∞).
Data source set acquisition submodule 214, for the first data acquisition system of the standardization to be integrated described in processing acquisition
Data source set.
Weight distribution module 220, for the data source set preset model to be designed into module, and it is based on analytic hierarchy process (AHP)
Calculate weight corresponding to each second data in the multiple second data.
Module 230 is calculated, for corresponding based on preset formula, the multiple second data and each second data
Weight calculation described in employee diligent degree.As a kind of mode, the measuring and calculating module 230 includes：Calculate submodule 231, its
In：
Calculate submodule 231, for based onThe diligent degree of the employee is calculated, wherein, G is the duty of employee
Degree of putting forth energy, kiFor weight, S is data source set.
The diligent degree set of standard forms module 240, and the standard of all employees is formed for the diligent degree based on the employee
Diligent degree set.
Employee is diligent, and degree set forms module 250, for the diligent degree of each employee in the diligent degree of the standard is gathered
Post-processed, form the diligent degree set of employee.As a kind of mode, the diligent degree set of employee, which forms module 250, to be included：
Diligent degree fraction acquisition submodule 251 and the diligent degree set of employee form submodule 252, wherein：
Diligent degree fraction acquisition submodule 251, for by each standard in the diligent degree set of the standard it is diligent spend into
Row post-processes and obtains the diligent degree fraction maximum of the standard after post processing and the diligent degree fraction minimum value of standard.
Employee is diligent, and degree set forms submodule 252, for based on default mapping equation, the diligent degree collection of employee's standard
Close, the diligent degree fraction maximum of the standard and the diligent degree fraction minimum value of the standard form the diligent degree set of employee.
The process of the respective function of each Implement of Function Module of the present embodiment degree acquisition device 200 diligent to employee, is referred to
Above-mentioned Fig. 1 is to the content described in embodiment illustrated in fig. 6, and here is omitted.
In summary, the diligent degree acquisition methods of employee provided in an embodiment of the present invention and device obtain right in data source first
Multiple first data of the diligent degree of employee are answered, and multiple first data are standardized and obtain data source set, the number
Include multiple second data according to source set, data source set preset model is then designed into module, and be based on analytic hierarchy process (AHP) meter
Weight corresponding to calculating each second data in multiple second data, it is finally based on preset formula, multiple second data and every
The diligent degree of weight calculation employee corresponding to individual second data, so as to improve the objectivity of the diligent degree evaluation of employee, promote
Enterprise development.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, can also pass through
Other modes are realized.Device embodiment described above is only schematical, for example, flow chart and block diagram in accompanying drawing
Show the device of multiple embodiments according to the present invention, method and computer program product architectural framework in the cards,
Function and operation.At this point, each square frame in flow chart or block diagram can represent the one of a module, program segment or code
Part, a part for the module, program segment or code include one or more and are used to realize holding for defined logic function
Row instruction.It should also be noted that at some as in the implementation replaced, the function that is marked in square frame can also with different from
The order marked in accompanying drawing occurs.For example, two continuous square frames can essentially perform substantially in parallel, they are sometimes
It can perform in the opposite order, this is depending on involved function.It is it is also noted that every in block diagram and/or flow chart
The combination of individual square frame and block diagram and/or the square frame in flow chart, function or the special base of action as defined in performing can be used
Realize, or can be realized with the combination of specialized hardware and computer instruction in the system of hardware.
In addition, each functional module in each embodiment of the present invention can integrate to form an independent portion
Point or modules individualism, can also two or more modules be integrated to form an independent part.
If the function is realized in the form of software function module and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part to be contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are causing a computer equipment (can be
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the present invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need
Illustrate, herein, such as first and second or the like relational terms be used merely to by an entity or operation with
Another entity or operation make a distinction, and not necessarily require or imply between these entities or operation any this reality be present
The relation or order on border.Moreover, term " comprising ", "comprising" or its any other variant are intended to the bag of nonexcludability
Contain, so that process, method, article or equipment including a series of elements not only include those key elements, but also including
The other element being not expressly set out, or also include for this process, method, article or the intrinsic key element of equipment.
In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including the key element
Process, method, other identical element also be present in article or equipment.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.It should be noted that：Similar label and letter exists
Similar terms is represented in following accompanying drawing, therefore, once being defined in a certain Xiang Yi accompanying drawing, is then not required in subsequent accompanying drawing
It is further defined and explained.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention described should be defined by scope of the claims.
Claims (10)
1. a kind of diligent degree acquisition methods of employee, it is characterised in that methods described includes：
Multiple first data that the diligent degree of employee is corresponded in data source are obtained, and the multiple first data are standardized
Processing obtains data source set, and the data source set includes multiple second data；
The data source set is imported into preset model design module, and the multiple second data are calculated based on analytic hierarchy process (AHP)
In each second data corresponding to weight；
Based on employee described in weight calculation corresponding to preset formula, the multiple second data and each second data
Diligent degree.
2. according to the method for claim 1, it is characterised in that it is described based on preset formula, the multiple second data with
And after the diligent degree of employee described in weight calculation corresponding to each second data, in addition to：
Diligent degree based on the employee forms the diligent degree set of standard of all employees；
The diligent degree of each standard in the diligent degree set of the standard is post-processed, forms the diligent degree set of employee.
3. according to the method for claim 2, it is characterised in that each standard by the diligent degree set of the standard
Diligent degree is post-processed, and forms the diligent degree set of employee, including：
By the standard it is diligent degree set in each standard it is diligent degree post-processed and obtain post processing after standard it is diligent
Spend fraction maximum and the diligent degree fraction minimum value of standard；
Based on the diligent degree set of default mapping equation, employee's standard, the diligent degree fraction maximum of the standard and described
The diligent degree fraction minimum value of standard forms the diligent degree set of employee.
4. according to the method for claim 1, it is characterised in that described to be standardized the multiple first data
Data source set is obtained, including：
The multiple first data are quantified to obtain the first data acquisition system X={ X1、X2…Xi…Xn, wherein, n ∈ (0 ,+
∞)；
The maximum X of each data in first data acquisition system is determined based on first data acquisition systemimaxAnd minimum value
Ximin；
According to Zi=(Xi-Ximin)/(Ximax-Ximin) the multiple first data are standardized and form standardization
One data acquisition system Z={ Z1、Z2…Zi…Zn, wherein, n ∈ (0 ,+∞)；
The first data acquisition system of the standardization is integrated into processing and obtains the data source set.
5. according to the method for claim 1, it is characterised in that it is described based on preset formula, the multiple second data with
And the diligent degree of employee described in weight calculation corresponding to each second data, including：
It is based onCalculate the diligent degree of the employee, wherein, G be employee diligent degree, kiFor weight, S is data
Gather in source.
6. a kind of diligent degree acquisition device of employee, it is characterised in that described device includes：
Data source pretreatment module, multiple first data of the diligent degree of employee are corresponded in data source for obtaining, and by described in
Multiple first data, which are standardized, obtains data source set, and the data source set includes multiple second data；
Weight distribution module, for the data source set preset model to be designed into module, and institute is calculated based on analytic hierarchy process (AHP)
State weight corresponding to each second data in multiple second data；
Module is calculated, for based on weight corresponding to preset formula, the multiple second data and each second data
Calculate the diligent degree of the employee.
7. device according to claim 6, it is characterised in that described device, in addition to：
The diligent degree set of standard forms module, and the diligent degree collection of standard of all employees is formed for the diligent degree based on the employee
Close；
Employee is diligent, and degree set forms module, for locating after the diligent degree of each employee in the diligent degree set of the standard is carried out
Reason, form the diligent degree set of employee.
8. device according to claim 7, it is characterised in that the diligent degree set of employee forms module, including：
Diligent degree fraction acquisition submodule, for the diligent degree of each standard in the diligent degree set of the standard to be post-processed
And obtain the diligent degree fraction maximum of the standard after post processing and the diligent degree fraction minimum value of standard；
Employee is diligent, and degree set forms submodule, for based on the diligent degree set of default mapping equation, employee's standard, described
The diligent degree fraction maximum of standard and the diligent degree fraction minimum value of the standard form the diligent degree set of employee.
9. device according to claim 6, it is characterised in that the data source pretreatment module, including：
Data quantization submodule, for being quantified the multiple first data to obtain the first data acquisition system X={ X1、X2…
Xi…Xn, wherein, n ∈ (0 ,+∞)；
Data value determination sub-module, for determining each data in first data acquisition system based on first data acquisition system
Maximum XimaxWith minimum value Ximin；
Standardization submodule, for according to Zi=(Xi-Ximin)/(Ximax-Ximin) rower is entered to the multiple first data
Standardization handles and forms the first data acquisition system Z={ Z of standardization1、Z2…Zi…Zn, wherein, n ∈ (0 ,+∞)；
Data source set acquisition submodule, the data source collection is obtained for the first data acquisition system of the standardization to be integrated into processing
Close.
10. device according to claim 6, it is characterised in that the measuring and calculating module, including：
Calculate submodule, for based onCalculate the diligent degree of the employee, wherein, G be employee diligent degree, ki
For weight, S is data source set.
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| CN201710990078.6A CN107767050A (en) | 2017-10-24 | 2017-10-24 | A kind of employee is diligent to spend acquisition methods and device |
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| CN201710990078.6A CN107767050A (en) | 2017-10-24 | 2017-10-24 | A kind of employee is diligent to spend acquisition methods and device |
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Cited By (1)
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| CN112966890A (en) * | 2020-11-09 | 2021-06-15 | 深圳供电局有限公司 | Intelligent analysis system and method for enterprise employee supervision |
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| CN103377425A (en) * | 2012-04-26 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and device for acquiring assessment result |
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| US20130080475A1 (en) * | 2011-09-25 | 2013-03-28 | Jonathon Gillen | Employee Profiler and Database |
| CN103377425A (en) * | 2012-04-26 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and device for acquiring assessment result |
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