CN104156411A - Integrated patent value data processing system - Google Patents
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- CN104156411A CN104156411A CN201410368008.3A CN201410368008A CN104156411A CN 104156411 A CN104156411 A CN 104156411A CN 201410368008 A CN201410368008 A CN 201410368008A CN 104156411 A CN104156411 A CN 104156411A
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Abstract
The invention discloses a multi-expert based integrated patent value data processing system comprising a database subsystem and an integrated processing subsystem. The database subsystem comprises a patent information base, an expert assessment model base and an expert information base; the integrated processing subsystem comprises a task generation module, a task distribution module and an integrated assessment processing module; the task generation module generates to-be-assessed tasks; the task distribution module selects experts from the expert information base according to to-be-assessed projects and assessment purposes, and pushes the to-be-assessed tasks to the experts; the integrated assessment processing is used for receiving patent value data returned by the selected experts and preprocesses and integrally processes the patent value data to obtain integrated processing reports; the experts perform assessment according to the to-be-assessed tasks to obtain the patent value data, and return assessment results to a preprocessing module. By the system, the patent value data returned by the experts can be subjected to integrated processing so as to obtain the satisfactory assessment results.
Description
Technical field
The present invention relates to data processing field, especially relate to patent value aggregation of data disposal system.
Background technology
Along with further developing of socio-economic activity, patent right is dissolved in the activity in production of enterprise as important specialities, and patent right has become a kind of very important intangible asset, is also the important component part of Intellectual Property Right of Enterprises.
Patentee and enterprise or governmental investment people are more and more concerned about patent value.Concerning patentee, if the patent that can have it is carried out effective value assessment, patentee just can, in conjunction with self research and development feature, consider patent right maintenance cost, selectively shifts, transfers the possession of or abandon a collection of patent; Or the value that is about to the patent of providing funds transfer, permitting is made to reasonable judge, in conjunction with self patent strategy, specify the disposal options of new granted patent of next stage.Concerning enterprise or governmental investment people, if can carry out effective value assessment to the patent that is about to investment, investor just can make reasonable judgement and decision-making to the patent that is about to investment, is conducive to market both sides and forms valency and cooperative relationship steady in a long-term.
Evaluation to patent value and assessment are global problems, how to crack this difficult problem and be always in the industry the focus of being concerned about with educational circles.Since nineteen sixties, fuzzy mathematics and expert system obtain comparatively successfully applying in comprehensive evaluation, in recent years, round comprehensive evaluation, the method for comprehensive evaluation are enriched constantly.
Fuzzy mathematics is a new branch of mathematics that uses mathematical method research and process fuzzy phenomena.It is taking " fuzzy set " opinion as basis.Fuzzy mathematics provides a kind of new method of processing uncertainty and inexactness problem.L. look into moral taking accurate mathematical set theory as basis, and consider the collective concept of mathematics is modified and promoted, propose the mathematical model as the fuzzy things of performance with " fuzzy set ".And in " fuzzy set ", progressively set up computing, rule of conversion, carry out relevant theoretical research, just likely construct a large amount of fuzzy Fundamentals of Mathematics in research real world, can be to the mathematical method of it seems that quite complicated fuzzy system is carried out quantitative description and processing.
Expert system be in artificial intelligence most important be also a most active application, it has been realized artificial intelligence and has moved towards practical application, inquires into and turn to the important breakthrough of using special knowledge from general inference strategy from theoretical research.Expert system is an important branch of early stage artificial intelligence, it can be regarded as a class and has the computer intelligence programming system of special knowledge and experience, generally adopts the representation of knowledge and knowledge reasoning technology in artificial intelligence to simulate the challenge that conventionally could be solved by domain expert.
Specific to the assessment of patent value, to the value assessment of one or one group patent, need to relate to multiple indexs or multiple factor, index or factor may be distributed in again multiple levels; In addition, for science decision, need again to concentrate multiple experts' evaluation opinion, therefore effectively patent valve estimating system is the comprehensive assessment system based on many indexs and multi-expert.
Because different experts process and there are differences mutual restriction, multifactorial " flexible strategy " that influence each other in evaluation procedure, corresponding evaluation result be there are differences.Generally; according to expert's number, value corresponding to indices to be averaged; this method usually there will be some experts' evaluation have certain subjectivity with comprehensive after assessment result far apart, cannot ensure that the comprehensive assessment result obtaining is like this desired result.
Summary of the invention
In order to make different experts have more practical operation and application in the patent value data of carrying out after patent value evaluation, the invention provides a kind of patent value aggregation of data disposal system.
A kind of patent value aggregation of data disposal system provided by the invention, comprises database subsystem and overall treatment subsystem;
Described database subsystem comprises: patent information storehouse, for storing patents and file, comprising: bibliographic information, patent document, other information and file; Expert evaluation model storehouse, for storing the expert evaluation model that dissimilar evaluation item is corresponding, comprising: single patent Universal Assessment model, patent bag Universal Assessment model, specific assessment models; Described assessment models is two layers of index system, comprises ground floor index and second layer index, and ground floor index is by several second layer index constitutes; Expert info storehouse, for storing expert's relevant information, comprising: expert's name, contact method, resume;
Described overall treatment subsystem, comprise: task generation module, according to project to be assessed and purpose of appraisals, from expert evaluation model storehouse, select expert evaluation model, from patent information storehouse, obtain the patents corresponding with project to be assessed and file, the patents in project to be assessed and file are carried out to associated generation task to be assessed with expert evaluation model; Task distribution module according to project to be assessed and purpose of appraisals, is selected expert from expert info storehouse, and task to be assessed is pushed to selected expert; Pretreatment module, for receiving selected expert's the patent value data of returning, carries out pre-service to described patent value data; Wherein, selected expert obtains patent value data according to task evaluation to be assessed, patent value data are returned to pretreatment module, and described patent value data comprise: expert's marking and expert opinion that expert carries out for the second layer index in ground floor index; Overall treatment module, for according to evaluation item and purpose of appraisals, carries out overall treatment to pre-service result, obtains overall treatment report.
Further, this system also comprises: human-computer interaction module, for providing interface to user, user is modified, inquires about or manage the information in database subsystem by this module.
Further, this system also comprises the evaluation services client being connected with overall treatment subsystem, for inputting project to be assessed and purpose of appraisals.
Further, described database subsystem also comprises: assessment report database, obtains overall treatment report for storing overall treatment module.
Further, ground floor index is divided into law index, economic target, technical indicator;
Further, ground floor index can also be divided into base values and extended counter;
If ground floor index is divided into law index, economic target, technical indicator; Further, described single patent Universal Assessment model comprises three ground floor indexs, is respectively law index, economic target, technical indicator; Law index, technical indicator in described patent bag Universal Assessment model in every corresponding ground floor index of patent difference, the economic target in the corresponding ground floor index of patent bag; Described specific assessment models, refers to ground floor index or second layer index is deleted or expanded the assessment models obtaining.
Further, described patent value data also comprise: the weight allocation that expert carries out for the second layer index in ground floor index.
Further, described overall treatment module also comprises: consistency detection module, and carry out consistency detection for the patent value data of returning according to pre-service result and expert, as pass through, calculate patent value degree, obtain overall treatment report; If do not passed through, the patent value data that expert is returned are revised, and revised patent value data are carried out after pre-service, then calculate patent value degree, obtain overall treatment report.
Further, described pretreatment module, the ground floor index value degree that carries out this expert for the patent value data of returning according to expert calculates; Described overall treatment module comprises: Weight of Expert distribution module, for the Weight of Expert of ground floor index is distributed; Ground floor index value degree computing module, calculates ground floor index value degree according to the Weight of Expert of the ground floor index of distributing; Ground floor index value degree weight allocation module, for distributing the weight of ground floor index value degree; Comprehensive value computing module, according to the weight calculation patent value degree of the ground floor index value degree distributing.
Further, described pretreatment module, the patent value data of returning according to expert are calculated expert's patent value degree; Described overall treatment module comprises: Weight of Expert distribution module, for Weight of Expert is distributed; Comprehensive value computing module, calculates patent value degree according to the Weight of Expert distributing.
Patent value aggregation of data disposal system provided by the invention according to project to be assessed and purpose of appraisals, is obtained related data from database subsystem, and carries out data correlation and generate task to be assessed, can fast carry out accurately task generation and task and distribute; In the time processing patent value data, process in two steps, first by pre-service, and then in conjunction with evaluation item and purpose of appraisals, pre-service result is carried out to overall treatment, make result more accurate; Further, increase consistency detection module, as find the identical index expert apart from each other of giving a mark, or obviously and actual conditions be not inconsistent, can revise patent value data, the patent value data of revising are carried out to pre-service and follow-up overall treatment, make overall treatment result more accurate.
Brief description of the drawings
The present invention can be better understood by reference to the description hereinafter carried out by reference to the accompanying drawings, and in institute's drawings attached, has used identical or similar Reference numeral to identify identical or similar parts.Accompanying drawing comprises in this manual and forms the part of this instructions together with detailed description below, and is used for further illustrating preferred embodiment of the present invention and explains principle and advantage of the present invention.In the accompanying drawings:
Fig. 1 represents an example structure figure of patent value aggregation of data disposal system;
Fig. 2 represents another example structure figure of patent value aggregation of data disposal system;
Fig. 3 represents an example structure figure again of patent value aggregation of data disposal system;
Fig. 4 represents an operational flowchart of patent value aggregation of data processing;
Fig. 5 represents another operational flowchart of patent value aggregation of data processing.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, service level service information management method and apparatus of the present invention and system are further described.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
By the explanation to the specific embodiment of the invention below in conjunction with accompanying drawing, can better understand feature of the present invention, advantage and object.Hereinafter example embodiment of the present invention is described.Should understand, in the process of any this practical embodiments of exploitation, must make much decisions specific to embodiment, to realize developer's objectives, for example meet those expansions relevant to system and model, these extended attributes can change along with the difference of embodiment.But these changes all should be encompassed in the scope of instructions of the present invention and claims.
Patent value aggregation of data disposal system of the present invention, as shown in Figure 1, comprises database subsystem and overall treatment subsystem.
Database subsystem comprises: patent information storehouse, expert evaluation model storehouse and expert info storehouse.
Patent information storehouse, for storing patents and file, comprising: bibliographic information, patent document, other information and file.Bibliographic information, includes but not limited to: patent name, number of patent application, patented claim day, classification number; Patent document, includes but not limited to: the intermediate file in open text, checking process, mandate text; Other information and file, include but not limited to: patent families information, patent combined information, search report, industry analysis report.
A kind of patent value aggregation of data disposal system provided by the invention, comprising:
Expert evaluation model storehouse, for storing the expert evaluation model that dissimilar evaluation item is corresponding, comprising: single patent Universal Assessment model, patent bag Universal Assessment model, specific assessment models; Assessment models is two layers of index system, comprises ground floor index and second layer index, and ground floor index is by several second layer index constitutes.Ground floor index is divided into conventional law index, economic target, technical indicator.Ground floor index can also be divided into base values and extended counter.Base values refers to standing index, divides into several second layer indexs, as the inherent index of reaction patent characteristic, stability, technical advance etc.; Extended counter refers to the index of setting according to different objects or industry, divides into several second layer indexs.If ground floor index is divided into conventional law index, economic target and technical indicator, ground floor index is divided into several second layer indexs, at this moment single patent Universal Assessment model comprises three ground floor indexs, is respectively law index, economic target, technical indicator; Law index, technical indicator in patent bag Universal Assessment model in every corresponding ground floor index of patent difference, the economic target in the corresponding ground floor index of patent bag; Specific assessment models, refers to ground floor index or second layer index is deleted or expanded the assessment models obtaining.Assessment models comprises many indexs; Service management person can select assessment models according to different purposes of appraisals or demand, gets up like this in practical application, can be taking target as guiding.If assignor wishes patented technology to realize the marketization, and obtains pecuniary gain by production marketing, can only carry out so the analysis of patent economic worth degree, can select to focus on the expert evaluation model of patent economic worth degree.
Expert info storehouse, for storing expert's relevant information, includes but not limited to: expert's name, contact method, resume.
Overall treatment subsystem, comprises task generation module, task distribution module, pretreatment module and overall treatment module.
Task generation module, according to project to be assessed and purpose of appraisals, from expert evaluation model storehouse, select expert evaluation model, from patent information storehouse, obtain the patents corresponding with project to be assessed and file, the patents in project to be assessed and file are carried out to associated generation task to be assessed with expert evaluation model.
Task distribution module according to project to be assessed and purpose of appraisals, is selected expert from expert info storehouse, and task to be assessed is pushed to selected expert.Can carry out task propelling movement by mail or other communication modes.
Pretreatment module, for receiving selected expert's the patent value data of returning, carries out pre-service to patent value data; Wherein selected expert obtains patent value data according to task evaluation to be assessed, patent value data are returned to pretreatment module, and described patent value data comprise: expert's marking and expert opinion that expert carries out for the second layer index in ground floor index.Selected expert can carry out online or off-line assessment according to task to be assessed, specifically comprises: the second layer index in ground floor index is given a mark, and expert opinion is provided.When evaluating according to task to be assessed, selected expert can also carry out weight allocation to the second layer index in ground floor index.When expert gives a mark, can adopt 5 points of systems or ten point system, if ten point system, the independent score value of second layer index is 10 points.
Overall treatment module, for according to evaluation item and purpose of appraisals, carries out overall treatment to pre-service result, obtains overall treatment report.
For the ease of system operation, this system can also comprise: human-computer interaction module, for providing interface to user, user is modified, inquires about or manage the information in database subsystem by this module.This system can also comprise the evaluation services client being connected with overall treatment subsystem, for inputting project to be assessed and purpose of appraisals.Database subsystem also comprises assessment report database, obtains overall treatment report for storing overall treatment module.
Overall treatment module comprises pretreatment module and overall treatment module.Pretreatment module: carry out pre-service for the patent value data that expert is returned; Overall treatment module: for according to evaluation item and purpose of appraisals, pre-service result is carried out to overall treatment, obtain overall treatment report.
Differ far away in order to prevent that expert from giving a mark, or prevent that expert from having a mind to draw high or force down the situation of mark, project leader need to occur that the situation of notable difference revises to expert marking.Overall treatment module also comprises: consistency detection module, and carry out consistency detection for the patent value data of returning according to pre-service result and expert, as pass through, calculate patent value degree, obtain overall treatment report; If do not passed through, the patent value data that expert is returned are revised, and revised patent value data are carried out after pre-service, then calculate patent value degree, obtain overall treatment report.
In another embodiment of the present invention, as shown in Figure 2.The ground floor index value degree that pretreatment module is carried out this expert for the patent value data of returning according to expert calculates.
Overall treatment module specifically comprises: the value degree computing module of Weight of Expert distribution module, ground floor index, weight allocation module and the comprehensive value computing module of ground floor index.Weight of Expert distribution module, for distributing the Weight of Expert of ground floor index; Ground floor index value degree computing module, calculates ground floor index value degree according to the Weight of Expert of the ground floor index of distributing; Ground floor index value degree weight allocation module, for distributing the weight of ground floor index value degree; Comprehensive value degree computing module, according to the weight calculation comprehensive value degree of the ground floor index value degree distributing.
Differ far away in order to prevent that expert from giving a mark, or prevent that expert from having a mind to draw high or force down the situation of mark, project leader need to occur that the situation of notable difference revises to expert marking.In a preferred embodiment of the present invention, as shown in Figure 3, overall treatment module can also comprise: consistency detection module, carry out consistency detection for the patent value data of returning according to pre-service result and expert, as pass through, pre-service result is input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of ground floor index is distributed; If do not pass through, the patent value data that expert is returned are revised, revised patent value data are carried out after pre-service, pre-service result is input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of ground floor index is distributed.
The patent value data that consistency detection module is returned according to pre-service result and expert are carried out consistency detection, project leader is as found the identical index expert apart from each other of giving a mark, or obviously and actual conditions be not inconsistent, the marking of a certain index to certain expert, weight allocation and expert opinion are analyzed, project leader is consultant expert directly, consulting patentee and clientage, consulting third party expert, also can directly adjust expert's marking and weight allocation, or suggestion expert reappraises.
The patent value data that consistency detection module is returned according to pre-service result and expert are carried out consistency detection, can judge the identical index expert apart from each other of whether giving a mark by consistency detection model, or obviously and actual conditions be not inconsistent, the marking of a certain index of notify items responsible official to certain expert, weight allocation and expert opinion are analyzed, project leader is consultant expert directly, consulting patentee and clientage, consulting third party expert, also can directly adjust expert's marking and weight allocation according to consistency detection model, or suggestion expert reappraises.
When ground floor index is divided into law index, economic target, when technical indicator, taking single patent Universal Assessment model as example, in single patent Universal Assessment model, for this single patent is at law, economical, technique direction distributes respectively several experts, be ground floor index law by each expert, economical, second layer index marking under technology, different experts can provide different weights, but for the ease of the consideration of operation or decision-making justice, also can be according to the difference of purpose of appraisals, in expert evaluation model storehouse, the weight of the second layer index under ground floor index is fixed.
Fig. 4 represents an operational flowchart of the patent value comprehensive assessment based on many indexs and multi-expert.Wherein, expert evaluation model is selected single patent Universal Assessment model.
Step 101, determine project to be assessed and purpose of appraisals.
Step 102, generate task to be assessed.According to project to be assessed and purpose of appraisals, from expert evaluation model storehouse, select expert evaluation model, from patent information storehouse, obtain the patents corresponding with project to be assessed and file, the patents in project to be assessed and file are carried out to associated generation task to be assessed with expert evaluation model.
Step 103, task to be assessed is pushed to selected expert.According to project to be assessed and purpose of appraisals, from expert info storehouse, select expert, task to be assessed is pushed to selected expert.
Step 104, expert provide patent value data; Comprise that expert gives a mark and evaluation opinion.
Particularly, expert's marking and weight allocation are specially:
Ground floor index law index L has m second layer index, and law expert i marking and weight allocation are as follows:
L
i={ l
i1, l
i2..., l
im, wherein second layer index marking l
i1, l
i2..., l
imindependent score value be 0～10;
A
i={ a
i1, a
i2..., a
im, wherein weight coefficient a
i1+ a
i2+ ... + a
im=1; If the weight providing in expert evaluation model storehouse, so a
i1, a
i2..., a
imbe fixed value, can not change along with the change of i.
Ground floor index economic target E has n second layer index, and economic expert j marking and weight allocation are as follows:
E
j={ e
j1, e
j2..., e
jn, wherein second layer index marking e
j1, e
j2..., e
jnindependent score value be 0～10;
B
j={ b
j1, b
j2..., b
jn, wherein weight coefficient b
j1+ b
j2+ ... + b
jn=1; If the weight providing in expert evaluation model storehouse, so b
j1, b
j2..., b
jnbe fixed value, can not change along with the change of j.
Ground floor index technical indicator T has q second layer index, and technical specialist k marking and weight allocation are as follows:
T
k={ t
k1, t
k2..., t
kq, wherein second layer index marking t
k1, t
k2..., t
kqindependent score value be 0～10;
C
k={ c
k1, c
k2..., c
kq, wherein weight coefficient c
k1+ c
k2+ ... + c
kq=1; If the weight providing in expert evaluation model storehouse, so c
k1, c
k2..., c
kqbe fixed value, can not change along with the change of k.
Step 105, pre-service, the ground floor index value degree that the patent value data of returning according to expert are carried out expert calculates.
Particularly, pretreatment module is carried out pre-service to patent value data and is specifically comprised:
The patent value data of returning according to single law expert are calculated single law expert's legal value degree LVD
i:
LVD
i＝l
i1*a
i1+l
i2*a
i2+...+l
im*a
im；
The patent value data of returning according to single economic expert are calculated single economic expert's economic worth degree EVD
j:
EVD
j＝e
j1*b
j1+e
j2*b
j2+...+e
jn*b
jn；
The patent value data of returning according to single technical specialist are calculated single technical specialist's technological value degree TVD
i:
TVD
k＝t
k1*c
k1+t
k2*c
k2+...+t
kn*c
kq。
Step 106, the patent value data of returning according to pre-service result and expert are carried out consistency detection, as pass through execution step 107; If do not passed through, return to step 104, the patent value data that expert is returned are revised, and revised patent value data are carried out after pre-service to execution step 107.
Step 107, pre-service result is input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of ground floor index is distributed.
Above-mentioned steps 106 and step 107 are specially:
In law expert's aspect, the patent value data of returning according to pre-service result and expert are carried out consistency detection, as pass through, pre-service result is input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of the law index in ground floor index is distributed; If do not passed through, the patent value data that law expert is returned are revised, revised patent value data are carried out after pre-service, pre-service result are input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of the law index in ground floor index is distributed:
Suppose to have P law expert, the Weight of Expert of law index
In economic expert's aspect, the patent value data of returning according to pre-service result and expert are carried out consistency detection, as pass through, pre-service result is input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of the economic target in ground floor index is distributed; If do not passed through, the patent value data that economic expert is returned are revised, revised patent value data are carried out after pre-service, pre-service result are input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of the economic target in ground floor index is distributed:
Suppose to have Q economic expert, the Weight of Expert of economic target
In technical specialist's aspect, the patent value data of returning according to pre-service result and expert are carried out consistency detection, as pass through, pre-service result is input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of the technical indicator in ground floor index is distributed; If do not passed through, the patent value data that technical specialist is returned are revised, revised patent value data are carried out after pre-service, pre-service result are input to the Weight of Expert distribution module in overall treatment module, the Weight of Expert of the technical indicator in ground floor index is distributed:
Suppose to have W technical specialist, the Weight of Expert of technical indicator
Step 108, according to the weight calculation ground floor index value degree of ground floor index value degree distributing.
Particularly,
Calculate legal value degree according to the Weight of Expert distributing
Calculate economic worth degree according to the Weight of Expert distributing
According to the Weight of Expert computing technique value degree distributing
Step 109, the weight of ground floor index value degree is distributed.
Weight of Expert to law, economy, technology distributes, D={d
1, d
2, d
3, d
1+ d
2+ d
3=1.
Step 110, according to the weight calculation patent value degree of ground floor index value degree distributing.
PVD＝LVD*d
1+EVD*d
2+TVD*d
3。
In the time that ground floor index is divided into law index, economic target, technical indicator, then taking a specific assessment models as example, this specific model is that ground floor index or second layer index are deleted or expanded the assessment models obtaining.Taking five second layer indexs as example, have five second layer indexs in ground floor index law, economy, technology, be respectively index I-V, as shown in table 1.Each expert is this five indices and gives a mark, and no longer distinguishes law expert, economic expert and technical specialist, and now selected expert is comprehensive expert.Different comprehensive experts gives a mark respectively to following five indexs, comprehensive expert can provide different weights for this five indices, but for the ease of the consideration of operation or decision-making justice, also can, according to the difference of purpose of appraisals, the weight of these five indexs be made as to fixed value in system.
Table 1 is a specific assessment models
Fig. 5 represents another operational flowchart of the patent value comprehensive assessment based on many indexs and multi-expert.Wherein, expert evaluation model is selected the specific assessment models of table 1.In this example, the pretreatment module in overall treatment subsystem, the patent value data of returning according to expert are calculated expert's patent value degree; Overall treatment module comprises: Weight of Expert distribution module, for Weight of Expert is distributed; Comprehensive value computing module, calculates patent value degree according to the Weight of Expert distributing.
Step 201, determine project to be assessed and purpose of appraisals.
Step 202, generate task to be assessed.According to project to be assessed and purpose of appraisals, from expert evaluation model storehouse, select expert evaluation model, from patent information storehouse, obtain the patents corresponding with project to be assessed and file, the patents in project to be assessed and file are carried out to associated generation task to be assessed with expert evaluation model.Expert evaluation model is selected the specific assessment models of table 1.
Step 203, task to be assessed is pushed to selected expert.According to project to be assessed and purpose of appraisals, from expert info storehouse, select expert, task to be assessed is pushed to selected expert.Selected expert is comprehensive expert, and different comprehensive experts gives a mark respectively to following five indexs, and comprehensive expert can provide different weights for this five indices.
Step 204, expert provide patent value data; Comprise that expert gives a mark and evaluation opinion.
Particularly, expert's marking and weight allocation are specially:
Expert Ei is to index e
i, e
iI, e
iII, e
iV, e
vmarking and weight allocation are as follows:
E
i={ e
i1, e
i2, e
i3, e
i4, e
i5, e wherein gives a mark
i1, e
i2, e
i3, e
i4, e
i5independent score value be 0～10;
G
i={ g
i1, g
i2, g
i3, g
i4, g
i5, wherein weight coefficient g
i1+ g
i2+ g
i3+ g
i4+ g
i5=1; If the weight providing in expert evaluation model storehouse, so g
i1, g
i2, g
i3, g
i4, g
i5be fixed value, can not change along with the change of expert Ei.
Step 205, pre-service, the patent value data of returning according to expert are calculated expert's patent value degree PVD
i
PVD
i＝e
i1*g
i1+e
i2*g
i2+...+e
i5*g
i5。
Step 206, the patent value data of returning according to pre-service result and expert are carried out consistency detection, as pass through execution step 207; If do not passed through, return to step 204, the patent value data that expert is returned are revised, and revised patent value data are carried out after pre-service to execution step 207.
Step 207, pre-service result is input to the Weight of Expert distribution module in overall treatment module, Weight of Expert is distributed.
Step 208, calculate patent value degree PVD according to the Weight of Expert distributing.
To sum up, patent value aggregation of data disposal system provided by the invention, at the beginning of task generates and distributes and when the overall treatment of patent value data, all consider project to be assessed and purpose of appraisals, first according to project to be assessed and purpose of appraisals, from database subsystem, obtain related data, and carry out data correlation and generate task to be assessed, can fast carry out accurately task generation and task and distribute; In the time processing patent value data, process in two steps, first by pre-service, obtain result directly perceived, and then in conjunction with evaluation item and purpose of appraisals, pre-service result is carried out to overall treatment, make result more accurate; Further, increase consistency detection module, project leader is as found the identical index expert apart from each other of giving a mark, or obviously and actual conditions be not inconsistent, can revise patent value data, the patent value data of revising are carried out to pre-service and follow-up overall treatment, make overall treatment result more accurate.
Above content; only for the concrete embodiment of the present invention, but protection scope of the present invention is not limited to this, is anyly familiar with in technical scope that those skilled in the art disclose in the present invention; the variation that can expect easily or replacement, all should be encompassed in protection scope of the present invention.
Claims (11)
1. a patent value aggregation of data disposal system, comprises database subsystem and overall treatment subsystem;
Database subsystem comprises:
Patent information storehouse, for storing patents and file, comprising: bibliographic information, patent document, other information and file;
Expert evaluation model storehouse, for storing the expert evaluation model that dissimilar evaluation item is corresponding, comprising: single patent Universal Assessment model, patent bag Universal Assessment model, specific assessment models; Assessment models is two layers of index system, comprises ground floor index and second layer index, and ground floor index is by several second layer index constitutes;
Expert info storehouse, for storing expert's relevant information, comprising: expert's name, contact method, resume;
Overall treatment subsystem, comprising:
Task generation module, according to project to be assessed and purpose of appraisals, from expert evaluation model storehouse, select expert evaluation model, from patent information storehouse, obtain the patents corresponding with project to be assessed and file, the patents in project to be assessed and file are carried out to associated generation task to be assessed with expert evaluation model;
Task distribution module according to project to be assessed and purpose of appraisals, is selected expert from expert info storehouse, and task to be assessed is pushed to selected expert; Pretreatment module, for receiving selected expert's the patent value data of returning, carries out pre-service to patent value data; Wherein, selected expert obtains patent value data according to task evaluation to be assessed, patent value data are returned to pretreatment module, and described patent value data comprise: expert's marking and expert opinion that expert carries out for the second layer index in ground floor index;
Overall treatment module, for according to project to be assessed and purpose of appraisals, carries out overall treatment to pre-service result, obtains overall treatment report.
2. patent value aggregation of data disposal system according to claim 1, it is characterized in that: this system also comprises: human-computer interaction module, for providing interface to user, user is modified, inquires about or manage the information in database subsystem by this module.
3. patent value aggregation of data disposal system according to claim 1, is characterized in that: this system also comprises the evaluation services client being connected with overall treatment subsystem, for inputting project to be assessed and purpose of appraisals.
4. patent value aggregation of data disposal system according to claim 1, is characterized in that: database subsystem also comprises: assessment report database, the overall treatment report obtaining for storing overall treatment module.
5. patent value aggregation of data disposal system according to claim 1, is characterized in that: ground floor index is divided into law index, economic target, technical indicator.
6. patent value aggregation of data disposal system according to claim 1, is characterized in that: ground floor index is divided into base values and extended counter.
7. patent value aggregation of data disposal system according to claim 5, is characterized in that:
Single patent Universal Assessment model comprises three ground floor indexs, is respectively law index, economic target, technical indicator;
Law index, technical indicator in patent bag Universal Assessment model in every corresponding ground floor index of patent difference, the economic target in the corresponding ground floor index of patent bag;
Specific assessment models, refers to ground floor index or second layer index is deleted or expanded the assessment models obtaining.
8. patent value aggregation of data disposal system according to claim 1, is characterized in that, described patent value data also comprise: the weight allocation that expert carries out for the second layer index in ground floor index.
9. patent value aggregation of data disposal system according to claim 1, it is characterized in that, overall treatment module also comprises: consistency detection module, carry out consistency detection for the patent value data of returning according to pre-service result and expert, as pass through, calculate patent value degree, obtain overall treatment report; If do not passed through, the patent value data that expert is returned are revised, and revised patent value data are carried out after pre-service, then calculate patent value degree, obtain overall treatment report.
10. patent value aggregation of data disposal system according to claim 1, is characterized in that,
Pretreatment module, the ground floor index value degree that carries out this expert for the patent value data of returning according to expert calculates;
Overall treatment module comprises: Weight of Expert distribution module, for the Weight of Expert of ground floor index is distributed; Ground floor index value degree computing module, calculates ground floor index value degree according to the Weight of Expert of the ground floor index of distributing; Ground floor index value degree weight allocation module, for distributing the weight of ground floor index value degree; Comprehensive value computing module, according to the weight calculation patent value degree of the ground floor index value degree distributing.
11. patent value aggregation of data disposal systems according to claim 1, is characterized in that,
Pretreatment module, the patent value data of returning according to expert are calculated expert's patent value degree;
Overall treatment module comprises: Weight of Expert distribution module, for Weight of Expert is distributed; Comprehensive value computing module, calculates patent value degree according to the Weight of Expert distributing.
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