CN106845827A - Support the comprehensive grading and stage division and device of customed automation - Google Patents
Support the comprehensive grading and stage division and device of customed automation Download PDFInfo
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- CN106845827A CN106845827A CN201710036178.5A CN201710036178A CN106845827A CN 106845827 A CN106845827 A CN 106845827A CN 201710036178 A CN201710036178 A CN 201710036178A CN 106845827 A CN106845827 A CN 106845827A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
Abstract
The present invention disclose a kind of comprehensive grading for supporting customed automation and stage division and device, can realize that a kind of assessment that customed modeling, automation calculate and grade classification work, raising operating efficiency.The method includes：S1, to the default comprehensive grading and hierarchy model expressed through regularization, carry out regularization expression with the binding mode between the sample data set for waiting to score and be classified, and document form by regularization expression of results in xml format is preserved.Wherein, the regularization expression of results of the comprehensive grading and hierarchy model document form in xml format is preserved；S2, the regularization expression of results and the regularization expression of results of the binding mode that parse the comprehensive grading and hierarchy model, the comprehensive grading that the result according to parsing is automated to each sample that the sample data is concentrated are calculated with classification.
Description
Technical field
The present invention relates to comprehensive multi-index scoring and grade classification field, and in particular to a kind of to support customed automation
Comprehensive grading and stage division and device.
Background technology
Comprehensive marking is the various analysis and assessment of development and the common method of classification with classification, is commented in the grade of every profession and trade
Estimate and be widely used in work.Yet with the regularization and scoring that are often related to many indexs, each index in grade evaluation work
Method differs, the problems such as sample size is big so that present level evaluation work substantially relies on manual mode, automanual mode
(after regularization with excel calculating process) or special calculating process application program and realize, there is that automaticity is low, workload
Greatly, efficiency is low, the low problems of model method reuse rate, wastes substantial amounts of manpower and materials, hampers opening for follow-up work
Exhibition.Therefore, a kind of comprehensive marking that is general, supporting customed regularization modeling, automation calculating of exigence research
With stage division, the customed, assessment of automation and grade classification work are realized.
The content of the invention
For problem present in current grade evaluation work, by the common feature in analytical grade evaluation work, this
Invention proposes a kind of universal method of the comprehensive grading and classification for supporting customed automation, is commented with the grade suitable for every profession and trade
Estimate the widespread need of work.It supports the regularization expression of comprehensive marking and hierarchy model, self-defined structure, reuse and automatically
Change calculating treatment, operating efficiency can be greatly enhanced.
On the one hand, the embodiment of the present invention proposes a kind of comprehensive grading and stage division for supporting customed automation, including：
S1, to it is default through regularization express comprehensive grading and hierarchy model, with treat scoring with classification sample data
Binding mode between collection carries out regularization expression, and document form by regularization expression of results in xml format is preserved,
Wherein, the regularization expression of results of the comprehensive grading and hierarchy model document form in xml format is preserved；
The regularization of the regularization expression of results and the binding mode of S2, the parsing comprehensive grading and hierarchy model
Expression of results, the comprehensive grading that the result according to parsing is automated to each sample that the sample data is concentrated and classification
Calculate.
On the other hand, the embodiment of the present invention proposes a kind of comprehensive grading and grading plant for supporting customed automation, wraps
Include：
First regularization expression unit, for the default comprehensive grading and hierarchy model expressed through regularization, and treating
Binding mode between the sample data set of scoring and classification carries out regularization expression, and by regularization expression of results with XML lattice
The document form of formula is preserved, wherein, the regularization expression of results of the comprehensive grading and hierarchy model text in xml format
Part form is preserved；
Comprehensive grading and stage unit, for parse the comprehensive grading and hierarchy model regularization expression of results and
The regularization expression of results of the binding mode, the result according to parsing is carried out certainly to each sample that the sample data is concentrated
The comprehensive grading of dynamicization is calculated with classification.
The comprehensive grading and stage division and device of the customed automation of support provided in an embodiment of the present invention, first to rule
Then changing the binding mode between the comprehensive grading of expression and hierarchy model, with sample data set carries out regularization expression, and will rule
Then change expression of results document form in xml format to be preserved, afterwards the comprehensive grading to regularization expression and classification
Model and the regularization expression binding mode parsed, and based on this carry out for be bound sample data from
Dynamicization comprehensive grading is calculated with classification, substantially increases the automaticity of comprehensive grading and classification, can realize automation
Assessment and grade classification work, improve operating efficiency.
Brief description of the drawings
Fig. 1 is that the present invention supports the comprehensive grading of customed automation and the schematic flow sheet of the embodiment of stage division one；
Fig. 2 is that the present invention supports the comprehensive grading of customed automation and the entire block diagram of another embodiment of stage division；
Fig. 3 is the regularization that the present invention supports the comprehensive grading of customed automation and the another embodiment of stage division to be related to
Expression block schematic illustration；
Fig. 4 is that the present invention supports the comprehensive grading of customed automation and the structural representation of the embodiment of grading plant one.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is explicitly described, it is clear that described embodiment be the present invention
A part of embodiment, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
The every other embodiment obtained under the premise of creative work is made, the scope of protection of the invention is belonged to.
Referring to Fig. 1, the present embodiment discloses a kind of comprehensive grading and stage division for supporting customed automation, including：
S1, to it is default through regularization express comprehensive grading and hierarchy model, with treat scoring with classification sample data
Binding mode between collection carries out regularization expression, and document form by regularization expression of results in xml format is preserved,
Wherein, the regularization expression of results of the comprehensive grading and hierarchy model document form in xml format is preserved；
The regularization of the regularization expression of results and the binding mode of S2, the parsing comprehensive grading and hierarchy model
Expression of results, the comprehensive grading that the result according to parsing is automated to each sample that the sample data is concentrated and classification
Calculate.
The comprehensive grading and stage division of the customed automation of support provided in an embodiment of the present invention, first to regularization table
Binding mode between the comprehensive grading and hierarchy model, with sample data set that reach carries out regularization expression, and by regularization table
Preserved up to result document form in xml format, afterwards comprehensive grading and the hierarchy model to regularization expression and
The binding mode of the regularization expression is parsed, and is carried out based on this comprehensive for the automation for being bound sample data
Close scoring with classification treatment, substantially increase comprehensive grading with classification automaticity, can realize automation assessment with
Grade classification works, and improves operating efficiency.
Implementation process of the invention is described in detail below.
It is illustrated in figure 2 the present invention and supports the comprehensive grading of customed automation and the entirety of another embodiment of stage division
Block diagram.Referring to Fig. 2, it is to be understood that in order to the comprehensive grading and hierarchy model preferably to user carry out regularization expression,
Improve the scalability of the model and flexibility after regularization is expressed, it is necessary first to preliminary analysis is carried out, mainly including model
Each leafy node achievement data in logical relation, model between each index being related in main application scenarios, model from now on
Source type (character type or numeric type etc.) etc..After these are all cleared, just can be to the regularization expression way of model
Carry out more preferable optimization design and realize, with energy as far as possible it is more, better meet various application scenarios from now on, improve model
Practicality, portability, scalability.
Need to carry out comprehensive grading and hierarchy model regularization expression and build according to the result of Such analysis afterwards, this
One step is mainly according to the regularization expression framework (Fig. 3 right shown in) of comprehensive grading and hierarchy model, to user's comprehensive grading with
Hierarchy model carries out regularization expression, and regularization expression of results is preserved with document form (purpose of preservation be in order to
Preferably reuse, change, extending etc.).Wherein it is main need expression be：1) index system of model (refers to comprising leafy node
Mark, n omicronn-leaf child node index and between logical relation)；2) in index system each index methods of marking；3) it is last comprehensive
Scoring and stage division.In view of the opening of XML, it is flexible, abundant, multi-level the features such as, comprehensive grading and hierarchy model regularization
Expression is using tissue and expression pattern based on XML.Fig. 3 be regularization express block schematic illustration, including right side comprehensive grading
Framework and the model in left side are expressed with hierarchy model regularization express framework with the regularization of data binding mode, as shown in figure 3,
It is understood that comprehensive grading has a set of index methods of marking, leafy node index root by oneself with each node of hierarchy model
The corresponding specific targets of sample data can be scored according to its corresponding methods of marking, its methods of marking includes situation method and mathematics
Expression formula two ways.
Situation method refers to carrying out situation tax point according to situation expression.Situation expression is referred to logical expression to index
Different value situations carry out different cases classifications with expression；Situation is assigned to divide and referred to the different situations expressed by index,
Assign different score values.Situation method is described and is expressed using logical expression, and general example is as follows.
Such as leafy node index-A indexs, it is assumed that point following three kinds of situations, its situation expression and situation are assigned and divided
Substantially：
Situation 1：value<60, assign and divide：0；
Situation 2：value>=60and value<85, assign and divide：1；
Situation 3：value>=85, assign and divide：2.
Value is proprietary name herein, refers to the value of current description indexes.
Mathematic(al) representation mode refers to substituting into one or more of sample data the mathematic(al) representation specified, and obtains
Result is the score value assigned to the corresponding specific targets of sample data.Mathematic(al) representation mode is all mathematic(al) representation,
General example is as follows.
Such as leafy node index-A indexs, its mathematic(al) representation is assigned and divided substantially：value/max(value)*
1.0,
Value is proprietary name herein, refers to the value of current description indexes, and max (value) is also mathematic(al) representation,
Refer to the index maximizing.
Rather than leafy node index can score the corresponding overall target of sample data according to its corresponding methods of marking,
The same leafy node of its methods of marking, including situation method and mathematic(al) representation two ways.Situation method refers to being expressed according to situation
Situation tax point is carried out, certainly described situation expression comes from the child node for having logical relation with the n omicronn-leaf child node and scored according to it
Appraisal result of the method to the corresponding index scoring of sample data.Such as n omicronn-leaf child node index-B index (following twos
Child node index B1, B2), it is assumed that point following four kinds of situations, its situation expression and situation are assigned and divided substantially：
Situation 1：B1=0and B2=0, assign and divide：0；
Situation 2：B1=0and B2=1, assign and divide：1；
Situation 3：B1=1and B2=0, assign and divide：1；
Situation 4：B1=1and B2=1, assign and divide：2.
Mathematic(al) representation mode refers to the child node that will have logical relation with n omicronn-leaf child node according to its methods of marking pair
The appraisal result of the corresponding index scoring of sample data substitutes into the mathematic(al) representation specified, and the result for obtaining is to sample data
The score value that assigns of corresponding overall target, the mathematic(al) representation specified certainly includes conventional weighted sum, weights and seek product etc..
Such as n omicronn-leaf child node index-B indexs (following two child node index B1, B2), its mathematic(al) representation is big
Cause be：0.8*B1+0.2*B2.
Comprehensive grading and the methods of marking of hierarchy model are referred specifically to according to the overall target of sample data (herein comprehensive
Close the root node index that index is generally in n omicronn-leaf child node) sample data is scored, it is of course possible to there is situation method sum
Expression formula two ways is learned, detailed process is referred to the scoring process of n omicronn-leaf child node index, and here is omitted.Comprehensively comment
Point refer specifically to according to the overall target of sample data that (overall target herein is generally non-with the stage division of hierarchy model
Root node index in leafy node) sample data is classified, specially according to the situation table based on the overall target
Level is assigned up to situation is carried out, detailed process is referred to the situation method scoring process of n omicronn-leaf child node index, only herein no longer
Assign and divide, and be to confer to different grades, here is omitted.In addition, it is necessary to explanation, in Fig. 3 in right side (0 | 1)
0 finger can give up stage division, only retain methods of marking, and 1 refers to reservation methods of marking and stage division, N:1 refers to associated tool
Body index can be multiple, 1:N refers to can utilize multiple overall targets to calculate associated higher level's overall target, Binding Model
(1:1) in 1:1 refers to that the data after binding are corresponded with comprehensive grading with hierarchy model, points to (1:1) in 1:1 refers to and number
Corresponded according to the index after collection association and leafy node index.
Master-plan and the specific building process of model by the regularization expression framework of comprehensive grading and hierarchy model
Understand, can by adjusting the methods of marking (such as adjusting weight parameter etc. of mathematic(al) representation) of different indexs, increase or delete
Except corresponding node index changes comprehensive grading and hierarchy model at any time, this aspect can greatly save workload, especially
Comprehensive grading and hierarchy model research establishment stage, it is necessary to carry out model test and changing repeatedly between model is adjusted and improved
Generation, this mode can greatly facilitate the development that correlation test works, and contribute to selecting as early as possible and shaping for model, on the other hand
Enhanced scalability, the adaptivity of comprehensive grading and hierarchy model are ensure that by above-mentioned modification mode.And model is once selected
Sizing, then can be repeatedly applied to multiple batches of, large-scale automation calculating treatment, also greatly reduce manual working
Amount.
After comprehensive grading and hierarchy model build completion, just comprehensive commenting can be carried out to sample data using the model
Divide and be classified, specifically include following steps：
(1) comprehensive grading is bound with hierarchy model with sample data set
If it is understood that sample data is carried out using model calculating, needed first according to model and data
The regularization of binding mode expresses framework (Fig. 3 is left shown) by the binding mode between the model and sample data of regularization expression
The expression of regularization is carried out, and regularization expression of results is preserved with document form.Referring to Fig. 3, its regularization expression is main
To want action be that each leafy node index of model is associated with the contiguous items in data set, wherein data item
Specify, it is possible to use sql sentences are expressed.In addition, it is necessary to explanation, sample data set is supported conventional, light
Two kinds of forms of Access and Excel, left side 1 in Fig. 3:N refers to the quantity of correspondence specific targets, specific targets and contiguous items
Association can have multigroup.
Equally, in view of the opening of XML, it is flexible, abundant, multi-level the features such as, between model and data bind regularization
Expression can be using the expression based on XML and enterprise schema.
(2) automation comprehensive grading and classification
In this step, the binding mode of model, model and the data expressed by resolution rules, the execution master of this step
Body computer software (" comprehensive grading and hierarchy model Automatic computing system of rule-basedization expression ") is just appreciated that regularization
The binding mode of the model, model and data of expression these objects, and carry out calculating treatment automatically, the one by one sample number to binding
Each sample in, the comprehensive grading automated using model method and classification are calculated.
Referring to Fig. 4, the present embodiment discloses a kind of comprehensive grading and grading plant for supporting customed automation, including：
First regularization expression unit 1, for the default comprehensive grading and hierarchy model expressed through regularization, and treating
Binding mode between the sample data set of scoring and classification carries out regularization expression, and by regularization expression of results with XML lattice
The document form of formula is preserved, wherein, the regularization expression of results of the comprehensive grading and hierarchy model text in xml format
Part form is preserved；
In the present embodiment, described device can also include the structure not shown in following figure：
Second Rule expression unit, for before the first regularization expression unit work, commenting the synthesis
Point carry out regularization expression with hierarchy model, and document form by regularization expression model in xml format is preserved, its
In, the content of regularization expression includes：The comprehensive grading and each index in index system, the index system of hierarchy model
Methods of marking, comprehensive methods of marking and stage division, leafy node index of the index system comprising each level and
The tree-shaped logical relation of level of n omicronn-leaf child node index.
Then the first regularization expression unit 1, specifically can be used for：
The index is tied to the specific data item in the data set using sql sentences, and with the format convention of XML
Change expression and store.
Comprehensive grading and stage unit 2, for parse the regularization expression of results of the comprehensive grading and hierarchy model with
And the regularization expression of results of the binding mode, each sample that the sample data is concentrated is carried out according to the result for parsing
The comprehensive grading of automation is calculated with classification.
The comprehensive grading and grading plant of the customed automation of support provided in an embodiment of the present invention, first to regularization table
Binding mode between the comprehensive grading and hierarchy model, with sample data set that reach carries out regularization expression, and by regularization table
Preserved up to result document form in xml format, afterwards comprehensive grading and the hierarchy model to regularization expression and
The binding mode of the regularization expression is parsed, and is carried out based on this for the automation for being bound sample data
Comprehensive grading is calculated with classification, substantially increases the automaticity of comprehensive grading and classification, can realize the assessment of automation
With grade classification work, operating efficiency is improved.
The present invention is for the comprehensive marking being related in grade evaluation work and the common feature of stage division, it is proposed that one
Set making clear based on XML format, regularization expression for comprehensive grading and hierarchy model, support to comprehensive grading with
The customed expression of hierarchy model and structure.On the one hand, with very strong autgmentability and adaptivity, all trades and professions be can be suitably used for
Grade evaluation work demand, on the other hand to the shared of model and reuse there is positive facilitation.
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 be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.And, the application can be used and wherein include the computer of computer usable program code at one or more
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) is produced
The form of product.
The application is the flow with reference to method, equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram are described.It should be understood that every first-class during flow chart and/or block diagram can be realized by computer program instructions
The combination of flow and/or square frame in journey and/or square frame and flow chart and/or block diagram.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced for reality by the instruction of computer or the computing device of other programmable data processing devices
The device of the function of being specified in present one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in can guide computer or other programmable data processing devices with spy
In determining the computer-readable memory that mode works so that instruction of the storage in the computer-readable memory is produced and include finger
Make the manufacture of device, the command device realize in one flow of flow chart or multiple one square frame of flow and/or block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented treatment, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or deposited between operating
In any this actual relation or order.And, term " including ", "comprising" or its any other variant be intended to
Nonexcludability is included, so that process, method, article or equipment including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.Term " on ", D score etc. refers to
The orientation or position relationship for showing are, based on orientation shown in the drawings or position relationship, to be for only for ease of the description present invention and simplify
Description, must be with specific orientation, with specific azimuth configuration and behaviour rather than the device or element for indicating or imply meaning
Make, therefore be not considered as limiting the invention.Unless otherwise clearly defined and limited, term " installation ", " connected ",
" connection " should be interpreted broadly, for example, it may be being fixedly connected, or being detachably connected, or be integrally connected；Can be
Mechanically connect, or electrically connect；Can be joined directly together, it is also possible to be indirectly connected to by intermediary, can be two
The connection of element internal.For the ordinary skill in the art, can as the case may be understand above-mentioned term at this
Concrete meaning in invention.
In specification of the invention, numerous specific details are set forth.Although it is understood that, embodiments of the invention can
Put into practice with the case of without these details.In some instances, known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.Similarly, it will be appreciated that disclose and help understand each to simplify the present invention
One or more in individual inventive aspect, in above to the description of exemplary embodiment of the invention, of the invention each is special
Levying in be grouped together into sometimes single embodiment, figure or descriptions thereof.However, should not be by the method solution of the disclosure
Release and be intended in reflection is following：The feature that i.e. the present invention for required protection requirement ratio is expressly recited in each claim is more
Many features.More precisely, as the following claims reflect, inventive aspect is less than single reality disclosed above
Apply all features of example.Therefore, it then follows thus claims of specific embodiment are expressly incorporated in the specific embodiment,
Wherein each claim is in itself as separate embodiments of the invention.It should be noted that in the case where not conflicting, this
The feature in embodiment and embodiment in application can be mutually combined.The invention is not limited in any single aspect,
Any single embodiment is not limited to, any combination and/or the displacement of these aspects and/or embodiment is also not limited to.And
And, can be used alone it is of the invention each aspect and/or embodiment or with it is one or more other aspect and/or its implementation
Example is used in combination.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
Pipe has been described in detail with reference to foregoing embodiments to the present invention, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover in the middle of the scope of claim of the invention and specification.
Claims (8)
1. a kind of comprehensive grading and stage division for supporting customed automation, it is characterised in that including：
S1, to it is default through regularization express comprehensive grading and hierarchy model, with treat scoring with classification sample data set it
Between binding mode carry out regularization expression, and document form by regularization expression of results in xml format is preserved, its
In, the regularization expression of results of the comprehensive grading and hierarchy model document form in xml format is preserved；
S2, the regularization of the regularization expression of results and the binding mode for parsing the comprehensive grading and hierarchy model are expressed
As a result, the comprehensive grading that the result according to parsing is automated to each sample that the sample data is concentrated is counted with classification
Calculate.
2. method according to claim 1, it is characterised in that before the S1, also include：
Regularization expression is carried out to the comprehensive grading and hierarchy model, and the model that regularization is expressed text in xml format
Part form is preserved, wherein, the content of regularization expression includes：Index system, the institute of the comprehensive grading and hierarchy model
The methods of marking of each index in index system, comprehensive methods of marking and stage division are stated, the index system includes each layer
Secondary leafy node index and the tree-shaped logical relation of level of n omicronn-leaf child node index.
3. method according to claim 1 and 2, it is characterised in that the S1, including：
The contiguous items that the comprehensive grading is concentrated with each leafy node index of hierarchy model with the sample data is entered
Row association, and association results are carried out into regularization expression.
4. method according to claim 3, it is characterised in that described that association results are carried out into regularization expression, including：
The index is tied to the specific data item in the data set using sql sentences, and with the format convention table of XML
Up to and storage.
5. a kind of comprehensive grading and grading plant for supporting customed automation, it is characterised in that including：
First regularization expression unit, for the default comprehensive grading and hierarchy model expressed through regularization, and waiting to score
And the binding mode between the sample data set of classification carries out regularization expression, and by regularization expression of results in xml format
Document form is preserved, wherein, the regularization expression of results of the comprehensive grading and hierarchy model file shape in xml format
Formula is preserved；
Comprehensive grading and stage unit, for parsing the regularization expression of results of the comprehensive grading and hierarchy model and described
The regularization expression of results of binding mode, the result according to parsing is automated to each sample that the sample data is concentrated
Comprehensive grading with classification calculate.
6. device according to claim 5, it is characterised in that also include：
Second Rule expression unit, for the first regularization expression unit work before, to the comprehensive grading with
Hierarchy model carries out regularization expression, and the model that regularization is expressed document form in xml format is preserved, wherein,
The content of regularization expression includes：The comprehensive grading and each index in index system, the index system of hierarchy model
Methods of marking, comprehensive methods of marking and stage division, leafy node index of the index system comprising each level and non-
The tree-shaped logical relation of level of leafy node index.
7. the device according to claim 5 or 6, it is characterised in that the first regularization expression unit, specifically for：
The contiguous items that the comprehensive grading is concentrated with each leafy node index of hierarchy model with the sample data is entered
Row association, and association results are carried out into regularization expression.
8. device according to claim 7, it is characterised in that the first regularization expression unit, specifically for：
The index is tied to the specific data item in the data set using sql sentences, and with the format convention table of XML
Up to and storage.
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| CN109597606A (en) * | 2018-10-24 | 2019-04-09 | 中国平安人寿保险股份有限公司 | Method, equipment and the storage medium of operational decision making are carried out using regulation engine |
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