CN107705012A - A kind of patent value assessment method and system - Google Patents
A kind of patent value assessment method and system Download PDFInfo
- Publication number
- CN107705012A CN107705012A CN201710911092.2A CN201710911092A CN107705012A CN 107705012 A CN107705012 A CN 107705012A CN 201710911092 A CN201710911092 A CN 201710911092A CN 107705012 A CN107705012 A CN 107705012A
- Authority
- CN
- China
- Prior art keywords
- index
- assessment
- value
- evaluation
- score
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services; Handling legal documents
- G06Q50/184—Intellectual property management
Abstract
This application provides a kind of patent value assessment method and system, wherein, this method includes：Build assessment indicator system；The assessment indicator system includes a variety of evaluation indexes, and every kind of evaluation index is any one in qualitative index and quantitative target；Determine the assessment weight of each evaluation index in the assessment indicator system；Based on each evaluation index in the assessment indicator system and corresponding assessment weight, the value assessment score of the quantitative target of patent to be assessed and the value assessment score of qualitative index are calculated respectively；According to the value assessment score of the quantitative target of the patent to be assessed and the value assessment score of qualitative index, the value assessment result of the patent to be assessed is determined.The embodiment of the present application can be directed to the assessment that track traffic patent carries out having versatility.
Description
Technical field
The application is related to patent technical field of rail traffic, in particular to a kind of patent value assessment method and
System.
Background technology
At present, as railway and urban track traffic enter the high-speed developing period, in face of the vigorous market demand, cloth of trying to be the first
Office's track traffic industry turns into the important channel for currently lifting itself competitiveness.Track traffic patent is as track traffic industry
A kind of important intangible asset, its be worth assessment be also increasingly taken seriously in practice.
Law parameter, economic parameters, technology mainly currently are based on by professional person to track traffic patent valve estimating
Parameter, industrialization risk, risk of infringement etc., value assessment is carried out for a patent, its assessment result is special only for this
Profit, without versatility.
Therefore, a kind of track traffic patent value assessment method with versatility turns into current urgent problem to be solved.
The content of the invention
In view of this, the purpose of the embodiment of the present application is to provide a kind of patent value assessment method and system, can
The assessment with versatility is carried out for track traffic patent.
In a first aspect, the embodiment of the present application provides a kind of patent value assessment method, including：
Build assessment indicator system；The assessment indicator system includes a variety of evaluation indexes, every kind of evaluation index
For any one in qualitative index and quantitative target；
Determine the assessment weight of each evaluation index in the assessment indicator system；
Based on each evaluation index in the assessment indicator system and corresponding assessment weight, patent to be assessed is calculated respectively
The value assessment score of quantitative target and the value assessment score of qualitative index；
According to the value assessment score of the quantitative target of the patent to be assessed and the value assessment score of qualitative index,
Determine the value assessment result of the patent to be assessed.
Second aspect, the embodiment of the present application also provide a kind of patent valve estimating system, including：
Module is built, for building assessment indicator system；The assessment indicator system includes a variety of evaluation indexes, every kind of
The evaluation index is any one in qualitative index and quantitative target；
Determining module, for determining the assessment weight of each evaluation index in the assessment indicator system；
Computing module, for based on each evaluation index in the assessment indicator system and corresponding assessment weight, counting respectively
Calculate the value assessment score of the quantitative target of patent to be assessed and the value assessment score of qualitative index；
Outcome evaluation module, value assessment score and qualitative finger for the quantitative target according to the patent to be assessed
Target value assessment score, determine the value assessment result of the patent to be assessed.
The third aspect, the embodiment of the present application, which provides a kind of computer equipment, to be included memory, processor and is stored in described
On memory and the computer program that can run on the processor, realized described in the computing device during computer program
The step of method described in above-mentioned first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer-readable recording medium, the computer-readable storage medium
Computer program is stored with matter, the computer program performs the method described in above-mentioned first aspect when being run by processor
Step.
The patent value assessment method and system that the embodiment of the present application is provided, by building assessment indicator system, and
The assessment weight of each evaluation index in the assessment indicator system is determined, for any one patent to be assessed, as long as being based on commenting
Each evaluation index and corresponding assessment weight, calculate the value assessment of the quantitative target of patent to be assessed respectively in valency index system
The value assessment score of score and qualitative index, it becomes possible to according to the value assessment score of the quantitative target of patent to be assessed and
The value assessment score of qualitative index, the value assessment result of patent to be assessed is determined, thus, patent value assessment method tool
There is very strong versatility, the assessment that track traffic patent carries out having versatility can be directed to.
To enable the above-mentioned purpose of the application, feature and advantage 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 more clearly of the technical scheme of the embodiment of the present application, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only some embodiments of the application, 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 shows a kind of flow chart for patent value assessment method that the embodiment of the present application is provided；
Fig. 2 shows the appraisal right of each evaluation index in the determination assessment indicator system that the embodiment of the present application is provided
The flow chart of the specific method of weight；
Fig. 3 shows that what the embodiment of the present application provided obtains next round sign based on the first marking result for currently seeking the opinion of table
Ask the flow chart of the specific method of the default weighted value of table；
Fig. 4 show that the embodiment of the present application provided according to all the first marking results for seeking the opinion of table, calculate the evaluation
The flow chart of the specific method of the assessment weight of index；
Fig. 5 shows that the value assessment for the quantitative target for calculating patent to be assessed respectively that the embodiment of the present application is provided obtains
Point and qualitative index value assessment score specific method flow chart；
Fig. 6 shows that the qualitative index value of the qualitative index for the calculating patent to be assessed that the embodiment of the present application is provided is commented
The flow chart of the specific method of valency score；
Fig. 7 shows the stream of the specific method of the assessment weight for each second expert of determination that the embodiment of the present application is provided
Cheng Tu；
Fig. 8 shows that the quantitative target value of the quantitative target for the calculating patent to be assessed that the embodiment of the present application is provided is commented
The flow chart of the specific method of valency score；
Fig. 9 shows a kind of structural representation for patent valve estimating system that the embodiment of the present application is provided；
Figure 10 shows that the embodiment of the present invention provides a kind of structural representation of computer equipment.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
Middle accompanying drawing, the technical scheme in the embodiment of the present application is clearly and completely described, it is clear that described embodiment is only
It is some embodiments of the present application, rather than whole embodiments.The application being generally described and illustrated herein in the accompanying drawings is real
Applying the component of example can be configured to arrange and design with a variety of.Therefore, below to the application's for providing in the accompanying drawings
The detailed description of embodiment is not intended to limit claimed scope of the present application, but is merely representative of the selected reality of the application
Apply example.Based on embodiments herein, institute that those skilled in the art are obtained on the premise of creative work is not made
There is other embodiment, belong to the scope of the application protection.
Current patent value assessment method is typically only directed to a patent, does not possess versatility, it is impossible to track
Traffic patent carries out the assessment with versatility.Based on this, a kind of patent value assessment method and system that the application provides,
The assessment with versatility is carried out for track traffic patent.
For ease of understanding the present embodiment, first to a kind of patent valve estimating side disclosed in the embodiment of the present application
Method describes in detail, it should be noted that the patent value assessment method can be not only used for the valency to track traffic patent
Value is assessed, and the patent value in other fields can also be assessed.
Patent value assessment method shown in Figure 1, that the embodiment of the present application is provided, is specifically included：
S101：Build assessment indicator system；Assessment indicator system includes a variety of evaluation indexes, and every kind of evaluation index is fixed
Any one in property index and quantitative target.
When specific implementation, patent value, which assess, a variety of to be commented based on included in assessment indicator system
Valency index is evaluated.Evaluation index generally comprises two kinds：Qualitative index and quantitative target, the property of each evaluation index
For any one in qualitative index and quantitative target.
When assessment indicator system is built, evaluation index is chosen by following principles：(1) it is scientific：Science is
Most basic principle in any Index System Design.Either the setting of evaluation index, the selection of data, evaluation method will
Using generally acknowledged scientific theory and method as foundation, it is mainly reflected in and integrades theory with practice and using scientific method etc..
(2) it is systemic：The principle of systenatization of index system establishment, referring to include the indices in index system should form on the whole
One system, there is uniformity and integrality.(3) correlation：Indices should be close with track traffic patent valve estimating
Correlation, i.e. track traffic patent value can delicately be reflected that it is special that these indexs should also turn into track traffic by these indexs
" barometer " of profit value.(4) operability：The index of selection will have operability, can not only objectively reflect problem, also
Accurate data can be obtained, the task of measuring and calculating is completed, quantitative basis is provided for government's macro-level policy-making to be truly realized.
To carry out value assessment, exemplified by assessment indicator system corresponding to structure, constructed evaluation to track traffic patent
Index system is as shown in table 1：
Table 1
S102：Determine the assessment weight of each evaluation index in assessment indicator system.
When specific implementation, after the evaluation index during assessment indicator system is determined, to determine that every kind of evaluation refers to
The assessment weight being marked in the assessment indicator system, as shown in Table 1.
Specifically, the embodiment of the present application also provides a kind of appraisal right for determining each evaluation index in assessment indicator system
The specific method of weight, shown in Figure 2, this method includes：
S201：For every kind of evaluation index in assessment indicator system, generate more wheels for the evaluation index and seek the opinion of table；Its
In, seeking the opinion of table includes：Multiple default weighted values that evaluation index corresponding with seeking the opinion of table uses in being seeked the opinion of when front-wheel.
Specifically, when generating wheel and seeking the opinion of table, it is necessary to be described the problem of to seeking the opinion of, for example, special to track traffic
In sharp value assessment, the problem of will can seeking the opinion of, is described as：Evaluation index is occupied in constructed assessment indicator system
Assessment weight；After problem description is carried out, corresponding background material is provided, as part marking of the expert in marking
Foundation.In this application, multiple default weighted values are provided with for every kind of evaluation index, the first expert can be asked based on what is seeked the opinion of
Multiple default weighted values of every kind of evaluation index are given a mark by topic, are then based on all first experts and same evaluation is referred to
Target is taken turns more seeks the opinion of table marking result, obtains the assessment weight of this kind of evaluation index.
Herein, the multiple default weighted values used in table are seeked the opinion of in the first round, can based on collection background material carry out
Preliminary estimation is drawn, or is obtained according to certain algorithm.
S202：Table is seeked the opinion of for every wheel, obtains what the expert of multidigit first was used in the wheel seeks the opinion of table the evaluation index
First marking result of multiple default weights；Wherein, each round seeks the opinion of table and is corresponding with one first marking result；And next round is levied
The default weighted value of inquiry table is determined based on the first marking result for currently seeking the opinion of table.
Herein, the first expert is that have necessarily representative and authoritative in technical field corresponding to patent to be assessed
Multidigit expert, by seeking the opinion of multidigit first with expertise, and the expertise of multidigit first is counted, handled, is divided
Analysis and conclusion, objectively integrate the first expertise and subjective judgement, are difficult to carry out quantitative analysis using technical method to a large amount of
Factor make reasonable estimation, after excessively wheel opinion is seeked the opinion of, feeds back and adjusted, obtain the assessment weight of every kind of evaluation index.
After determining and seeking the opinion of table corresponding to every kind of evaluation index, the first expert can seek the opinion of table to the evaluation index in the wheel
The middle multiple default weighted values used are given a mark, the first marking result corresponding to acquisition.
It is noted herein that because default weighted value that next round seeks the opinion of table is based on currently seeking the opinion of first dozen of table
Divide what result determined, therefore, it is not disposably to be generated before carry out problem is seeked the opinion of that more wheels, which seek the opinion of table, but first generates first
Wheel seeks the opinion of table；Obtaining the first expert the first marking result that table given a mark was seeked the opinion of the first round and then based on the first round
The first marking result of table is seeked the opinion of, the second wheel is obtained and seeks the opinion of default weighted value corresponding to table, the wheel of generation second seeks the opinion of table；By same
The method of sample, third round can be obtained and seek the opinion of default weighted value corresponding to table, generation third round seeks the opinion of table；Until obtain final
Seek the opinion of result.
In addition, seeking the opinion of the wheel number of table corresponding to different evaluation indexes, it can be the same or different, as long as last is taken turns
Seek the opinion of untill table can obtain satisfactory result.
Specifically, it is shown in Figure 3, seek the opinion of the pre- of table obtaining next round based on the first marking result for currently seeking the opinion of table
If during weighted value, specifically include：
S301：For each default weighted value of every kind of evaluation index in table is currently seeked the opinion of, all first experts are calculated
The average value that weighted value given a mark is preset to this；
S302：According to average value corresponding to all default weighted values difference of the evaluation index, the evaluation index pair is calculated
Answer the desired value of weight；
S303：Based on the desired value of the evaluation index respective weights, determine that next round seeks the opinion of the more of the evaluation index in table
Individual default weighted value.
Here, it is assumed that it is 0.293 calculating weight desired value corresponding to certain evaluation index, in the case where being worth to based on the expectation
When one wheel seeks the opinion of multiple default weighted values corresponding with evaluation index in table, default weighted value can be set 0.293 or so；
For example, if this kind of evaluation index corresponding default weighted value in next round seeks the opinion of table can be respectively set to：0.28、
0.29、0.3、0.31、0.32。
S203：According to all the first marking results for seeking the opinion of table, the assessment weight of the evaluation index is calculated.
Herein, seek the opinion of carrying out more wheels to certain evaluation index, obtain after more wheels seek the opinion of the first marking result corresponding to table,
Can according to corresponding to this kind of evaluation index the first marking result, calculate marking weight corresponding to this kind of evaluation index.
Specifically, shown in Figure 4, the embodiment of the present application also provides a kind of according to all the first marking knots for seeking the opinion of table
Fruit, calculates the specific method of the assessment weight of the evaluation index, and this method includes：
S401：It is determined that the expectation that the first marking result based on the evaluation index in last wheel seeks the opinion of table is calculated
Value, and the final weight using the desired value as the evaluation index；
S402：Final weight corresponding to all evaluation indexes is normalized, it is corresponding to obtain every kind of evaluation index
Assessment weight.
Herein, the weight that final weight corresponding to every kind of evaluation index determines for the marking result based on the first expert, institute
Have the final weight of evaluation index and it is likely larger than 1, it is also possible to less than 1, it is therefore desirable to corresponding to all evaluation indexes
Final weight is normalized, to obtain assessment weight corresponding to every kind of evaluation index；The appraisal right of all evaluation indexes
Weight and equal to 1.
For example, exemplified by evaluating track traffic patent：
Every kind of evaluation index is different to the influence degree (weight) of track traffic patent, and score value varies, and passes through first
Kind expert estimation, quantization weight and score value simultaneously calculate score, so as to judge the height of patented technology dimension scores.
It is determined that during to the weight of certain evaluation index, it is assumed that the first expert has 15 people：
The first round seeks the opinion of：
First marking result of multiple default weights that the first expert uses in being seeked the opinion of in the first round the evaluation index is whole
Reason such as table 2 below：
Table 2
Pass through formulaThe corresponding probability for the various default weighted values filled in 15 experts is averaged, and obtains
The average value given a mark to the first expert to 5 kinds of default weighted values of the evaluation index：
……
The probability corresponding to the corresponding 5 kinds of default weighted values of this kind of evaluation index can be finally obtained, it is as shown in table 3 below：
Table 3
| Default weight | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 |
| Probability (%) | 7.3 | 16.2 | 58 | 13.2 | 5.3 |
According to upper table 3, the desired value E (x) that the evaluation index seeks the opinion of corresponding weight in table in the wheel is calculated：
E (x)=7.3% × 0.1+16.2% × 0.2+58.0% × 0.3+13.2% × 0.4+5.3% × 0.5=
0.293；
The variance D (x) of weight corresponding to the evaluation index is calculated, variance is used to describe evaluation index in the wheel seeks the opinion of table
Corresponding weight deviates the index of desired value size：
Standard deviation S is calculated according to method, standard deviation S is variance D (x) square root：
According to standard deviation S and desired value E (x), coefficient of dispersion β is calculated,
Wherein, in the embodiment, variance is used for the metric for weighing metadata and desired value difference；Standard deviation is used to reflect
The dispersion degree of data set；Coefficient of dispersion is used for the dispersion degree reflected in unit average, and in this application, coefficient of dispersion is got over
Small, the degree of accuracy that result is obtained by expert estimation is also higher.
In order to make evaluation result more accurate, the default weighted value in the second wheel seeks the opinion of table, in desired value E (x) left and right
Reset, be respectively：0.28th, 0.29,0.3,0.31,0.32, and generate the second wheel and seek the opinion of table.
Second wheel is seeked the opinion of：
First marking result of multiple default weights that the first expert is used in the second wheel is seeked the opinion of the evaluation index is whole
Reason such as table 4 below：
Table 4
Pass through formulaThe corresponding probability for the various default weighted values filled in 15 experts is averaged, and obtains
The average value given a mark to the first expert to 5 kinds of default weighted values of the evaluation index：
……
The probability corresponding to the corresponding 5 kinds of default weighted values of this kind of evaluation index can be finally obtained, it is as shown in table 5 below：
Table 5
| Default weighted value | 0.28 | 0.29 | 0.3 | 0.31 | 0.32 |
| Probability (%) | 12.3 | 11.2 | 51.7 | 18.5 | 5.3 |
According to upper table 3, the desired value E (x) that the evaluation index seeks the opinion of corresponding weight in table in the wheel is calculated：
E (x)=12.3% × 0.28+11.2% × 0.29+51.7% × 0.30+18.5% × 0.31+5.3% × 0.32
=0.296；
The variance D (x) of weight corresponding to the evaluation index is calculated, method is used to describe evaluation index in the wheel seeks the opinion of table
Corresponding weight deviates the index of desired value size：
Standard deviation S is calculated according to method, standard deviation S is variance D (x) square root：
According to standard deviation S and desired value E (x), coefficient of dispersion β is calculated,
In order to make evaluation result more accurate, third round is seeked the opinion of to the default weighted value in table, in desired value E (x) left and right
Reset, and generate the second wheel and seek the opinion of table.
Similarly, table structure third round can be seeked the opinion of by the second wheel and seeks the opinion of table, finally seeked the opinion of in table and calculated according to each wheel
The desired value arrived, obtain the final weight of the evaluation index.
Specifically, it is every wheel seek the opinion of when, can according to seeked the opinion of when front-wheel calculated coefficient of dispersion size determine be
The no next round that to carry out is seeked the opinion of for example, after each round seeks the opinion of end, and the wheel is seeked the opinion of to the coefficient of dispersion being calculated with presetting
Threshold value be compared, if coefficient of dispersion is less than default threshold value, the desired value E (x) for the weight that the wheel is seeked the opinion of to obtain
Final weight as the evaluation index.Furthermore it is also possible to the coefficient of dispersion obtained by more wheels are seeked the opinion of is compared, by minimum
Coefficient of dispersion corresponding to seek the opinion of final weights of the desired value E (x) as the evaluation index of the weight that table is calculated.
After the final weight of all evaluation indexes is calculated based on method same as described above, to all evaluation indexes
Final weight is normalized, and calculates the assessment weight of every kind of evaluation index：
Assuming that have four kinds of evaluation indexes, and final weight corresponding to four kinds of evaluation indexes is followed successively by：0.293,0.328,
0.456,0.536, according to formula：Calculate the assessment weight w of every kind of evaluation indexi：
I.e. assessment weight corresponding to four kinds of evaluation indexes is followed successively by：0.182,0.203,0.283,0.332.
It is determined that in assessment indicator system after the assessment weight of each evaluation index, also to draw patent to be assessed at each
The value assessment score of evaluation index, referring specifically to following S103：
S103：Based on each evaluation index in assessment indicator system and corresponding assessment weight, patent to be assessed is calculated respectively
The value assessment score of quantitative target and the value assessment score of qualitative index.
Specifically, because the actual conditions of each patent to be assessed are all different, although being determined by above-mentioned steps
When assessing this patent in used assessment indicator system every kind of evaluation index assessment weight, to be also directed to specific
Patent, obtain the value assessment score of every kind of evaluation index of the patent to be assessed.Herein, due to the property bag of evaluation index
Two kinds of qualitative index and quantitative target are included, and qualitative index and quantitative target are obtaining its value assessment due to property qualitative difference
Used method is different during index, therefore, to calculate the quantitative target of patent to be assessed respectively based on different methods
Value assessment score and qualitative index value assessment score.
Shown in Figure 5, the embodiment of the present application also provides a kind of value for the quantitative target for calculating patent to be assessed respectively
The specific method of the value assessment score of score and qualitative index is evaluated, this method includes：
S501：For qualitative index, the evaluation score of every kind of qualitative index is calculated；And based on the evaluation of every kind of qualitative index
Score determines the qualitative index value assessment score of patent to be assessed.
S502：For quantitative target, the quantitative target value that patent to be assessed is calculated using fuzzy overall evaluation algorithm is commented
Valency score.
It is shown in Figure 6 when S501 is implemented, the qualitative index of patent to be assessed is calculated using following step
Qualitative index value assessment score：The evaluation score of every kind of qualitative index is calculated using following step S601-S603 first, its
Secondary to use following step S604, according to the evaluation score of all qualitative indexes, the quantitative target value for calculating patent to be assessed is commented
Valency score.Specifically：
S601：Respectively every kind of qualitative index determines opinion rating and the scope that scores corresponding with each opinion rating；
Every kind of qualitative index corresponds to multiple opinion ratings.
When specific implementation, in order to be scored qualitative index, it is necessary to determine evaluation etc. for every kind of qualitative index
Level, and to determine scoring scope corresponding to every kind of opinion rating.Wherein, the opinion rating of each qualitative index all according to its with
The difference of other qualitative indexes, and the difference with the opinion rating of other qualitative indexes is caused, and different qualitative indexes is corresponding
Opinion rating quantity may be different, it is also possible to it is identical.Can be that every kind of qualitative index determines to distinguish the score of qualitative index
Multiple opinion ratings.
Can be following tables for example, when the qualitative finger in assessment indicator system corresponding to upper table 1 determines opinion rating
Shown in 6：
Table 6
S602：Obtain second marking result of multiple second experts to every kind of qualitative index；Wherein, the second expert is according to every
Opinion rating corresponding to kind qualitative index, and scoring scope corresponding with every kind of opinion rating are given a mark to qualitative index.
Specific implementation when, in order to accurately score a variety of qualitative criterias, obtain with it is every kind of
Qualitative index value assessment score corresponding to qualitative criteria, to obtain second marking of the expert of multidigit second to every kind of qualitative index
As a result.The second marking result is that the second expert is based on standards of grading corresponding with every kind of opinion rating and based on objective fact
And the judgement of oneself experience, according to opinion rating corresponding to every kind of qualitative index and scoring corresponding with every kind of opinion rating
Scope gives a mark what is obtained to qualitative index.
For example, carrying out qualitative evaluation to Patent No. CN201310226688.0 according to patent urtext information, obtained
Second marking result of the qualitative index taken is as shown in table 7 below：
Table 7
S603：According to commenting for the second marking result, Weight of Expert corresponding to each second expert and every kind of qualitative index
Estimate weight, calculate the evaluation score of corresponding qualitative index.
After the expert of multidigit second is obtained to the second marking result of every kind of qualitative index, the second marking result is based on
And the assessment weight of every kind of qualitative index, and Weight of Expert corresponding to each second expert is based on, calculate corresponding qualitative index
Evaluation score.
Specifically, according to the second marking result, Weight of Expert corresponding to each second expert and every kind of qualitative index
Assessment weight, when calculating the evaluation score of corresponding qualitative index：
The Weight of Expert according to corresponding to the second marking result, each second expert calculates the special of each qualitative index first
Family's evaluation score, wherein, expert opinion score can use following formula：
M=a1×b1+a2×b2+…+ai×bi
Wherein, M is expert opinion score corresponding to each qualitative index；a1To aiIt is i the second experts to every kind of qualitative
The second marking result that index is given a mark；b1To biThe Weight of Expert being corresponding in turn to for i the second experts.
Secondly, according to assessment weight corresponding to the expert opinion score of each qualitative index and every kind of qualitative index,
It is determined that the evaluation score of corresponding qualitative index.It can specifically use following manner to calculate to evaluate corresponding to every kind of qualitative index
Point：Ni=Mi×wi；
Wherein：NiTo evaluate score corresponding to i-th kind of qualitative index；MiObtained for expert opinion corresponding to i-th kind of qualitative index
Point；wiFor assessment weight corresponding to i-th kind of qualitative index.
For example, table 8 below provide a kind of Weight of Expert according to corresponding to the second marking result, each second expert and
The assessment weight of every kind of qualitative index, calculate the specific example of the evaluation score of corresponding qualitative index：
Table 8
After obtaining evaluation score corresponding to every kind of qualitative index, to be determined based on the evaluation score of every kind of qualitative index to be evaluated
Estimate the qualitative index value assessment score of patent.Specifically include：
S604：The qualitative index value assessment that the evaluation score sum of every kind of qualitative index is defined as to patent to be assessed obtains
Point.
Such as in the example corresponding to upper table 8, value assessment corresponding to final qualitative index is scored at：
3.803=0.5531+0.6498+0.4487+0.1588+0.2568
+0.3291+0.4133+0.7823+0.2934。
In addition, it should be noted that before the evaluation score of qualitative index is calculated, it is also necessary to multidigit expert is carried out etc.
Level is assessed, it is determined that the assessment weight of each second expert.Specifically, it is shown in Figure 7, following methods can be used to calculate each
The assessment weight of second expert：
S701 builds expert's grade assessment indicator system；Expert's grade assessment indicator system includes a variety of expert opinions and referred to
Mark；Every kind of expert opinion index is corresponding with multiple opinion ratings.
For example, constructed expert's grade assessment indicator system is as shown in table 9 below：
Table 9
| Sequence number | First class index | E grades | D grades | C grades | B grades | A grades |
| 1 | Length of service | Within 1 year | Within 3 years | 4-6 | 7-10 | More than 10 years |
| 2 | Academic grade | Below training | Training | Undergraduate course | Master | Doctor |
| 3 | Expert's salary level grade | Below 5k | 5k-1w | 1w-2w | 2w-5w | More than 5w |
| 4 | Expert academic title is horizontal | Nothing | Nothing | Elementary academic | Intermediate title | High title |
| 5 | Patent numbers are assessed | Less than 200 | 200-500 | 500 | 500-1000 | More than 1000 |
S702：Determine the assessment weight of each second expert grade evaluation index in expert's grade assessment indicator system.
When specific implementation, show that each expert assesses using equal weight method and Field Using Fuzzy Comprehensive Assessment first
Point.It is such as shown in table 10 below to two experts progress grade assessment result in example corresponding to above-mentioned table 7：
Table 10
| Sequence number | Grade is assessed | Second expert 1 | Second expert 2 |
| 1 | Length of service | A | B |
| 2 | Academic grade | A | B |
| 3 | Expert's salary level grade | A | B |
| 4 | Expert academic title is horizontal | A | B |
| 5 | Patent numbers are assessed | A | B |
Secondly grade assesses score according to corresponding to every second expert, calculates the weight of every second expert.
Such as score is assessed to each expert's grade corresponding to above-mentioned Figure 10, calculate the weights of every second expert such as
Shown in table 11：
Table 11
| Second expert | Grade assesses score | Weight |
| Second expert 1 | 0.95 | 0.54 |
| Second expert 2 | 0.80 | 0.46 |
| Normalized | 1.75 | 1.00 |
Wherein, weight 0.54 and 0.46 corresponding to two the second experts is to assess score to the grade of two the second experts
0.95 and 0.80 is normalized what is obtained afterwards.
It should be noted that weight corresponding to above-mentioned each second expert can predefine, can also be to patent valency
Value determined in evaluation process.
It is shown in Figure 8 when S502 is implemented, the quantitative target of patent to be assessed is calculated using following step
Quantitative target value assessment score：
S801：Establish quantitative target collection and metrics evaluation corresponding with every kind of quantitative target difference that quantitative target is concentrated
Collection；Metrics evaluation, which is concentrated, to be included：The grade and different basis weights index set for quantitative target is corresponding respectively with different brackets
Evaluation criterion.
When specific implementation, first have to establish quantitative target collection and metrics evaluation collection；Wherein, quantitative target is concentrated and included
Multiple quantitative targets.Quantitative target collection in this application refers to the evaluation index established during patent valve estimating
The set of all quantitative targets in system, wherein every kind of quantitative target is all corresponding with an assessment weight.Metrics evaluation collection refers to
The grade set for every kind of quantitative target that quantitative target is concentrated, and evaluation criterion corresponding to different brackets.
S802：According to quantitative target collection and metrics evaluation collection, obtain the expert of multidigit the 3rd and every kind of quantitative target is carried out
Grade evaluates obtained class information.
When specific implementation, be based on above-mentioned quantitative target collection and with metrics evaluation collection, obtain the expert of multidigit the 3rd
Grade is carried out to every kind of quantitative target and evaluates obtained class information, the actually expert of multidigit the 3rd, objective fact and itself
Experience, and metrics evaluation collection is based on, grade evaluation is carried out to every kind of quantitative target, grade corresponding to every kind of quantitative target is obtained and believes
Breath.
It should be noted that every the 3rd expert all can to multiple grades corresponding to all quantitative targets, according to etc.
Evaluation criterion carries out level ratings corresponding to level, obtains when all 3rd experts correspondingly evaluate for every kind of quantitative target respectively
Class information.
S803：According to grade scoring table, and the every kind of quantitative target corresponding grade information determined, it is patent to be assessed
Quantitative target generates fuzzy evaluating matrix；Each grade that grade scoring table characterizes quantitative target is commented in multiple predetermined levels respectively
Probability under point.
S804：The weight vectors that the weight of each quantitative target is formed are multiplied with fuzzy evaluating matrix, obtain quantitative target
Score vector；And index score vector is multiplied with subordinated-degree matrix, the value score of quantitative target is obtained, wherein, degree of membership
Matrix element is the score value of multiple predetermined levels scoring.
Due in the assessment indicator system of structure, both containing quantitative target, qualitative index is contained again, and above-mentioned
Identified assessment weight is that the final weight for being directed to all quantitative target and qualitative index is normalized in step S102
Obtained from processing, so if directly use assessment weight corresponding with every kind of quantitative target, for calculating quantitative target
Quantitative target value assessment score is unfavorable, it is necessary to which assessment weight corresponding to all quantitative targets is normalized,
So as to obtain the weight vectors of the weight of each quantitative target composition.
After the weight vectors that the weight for obtaining each quantitative target is formed, weight vectors are multiplied with fuzzy evaluating matrix,
Quantitative target score vector is obtained, and index score vector is multiplied with subordinated-degree matrix, obtains the value score of quantitative target.
S805：The product for being worth score and each quantitative target weight sum is defined as to the quantitative target valency of patent to be assessed
Value evaluation score.
Such as：Table 12 below shows each quantitative target of quantitative target concentration and pair of the grade of corresponding quantitative target
Answer example：
Table 12
Above-mentioned table is based on using Patent No. CN201310226688.0 patent as patent to be assessed, the expert of multidigit the 3rd
Quantitative target that evaluation index in 12 is concentrated, multiple grades corresponding with every kind of quantitative target and corresponding with each grade
Evaluation criterion, the class information obtained by grade evaluation is carried out to every kind of quantitative target are as shown in table 13 below：
Table 13
| Index | Patent initial data | Affiliated grade classification |
| Survival period | 10 years | A |
| Patent grant state | Have | A |
| The scope of application | Extensively | A |
| Patent right number core | 0 | E |
| Patent citation amount core | 0 | E |
| Technology coverage | 3 | D |
| The life-span of patent | 3 | D |
Table 1 below 4 is corresponding grade scoring table：
Table 14
The quantitative target fuzzy evaluating matrix W of patent to be assessed is just can determine according to upper table 13 and table 14, is formed
Quantitative target fuzzy evaluating matrix is as shown in Table 15：
Table 15
| Survival period | A | 0 | 0 | 0 | 0.25 | 0.75 |
| Patent grant state | A | 0 | 0 | 0 | 0.25 | 0.75 |
| The scope of application | A | 0 | 0 | 0 | 0.25 | 0.75 |
| Market applicable cases | A | 0 | 0 | 0 | 0 | 0 |
| Patent priority number | E | 0.75 | 0.25 | 0 | 0 | 0 |
| Patent citation number | E | 0.75 | 0.25 | 0 | 0 | 0 |
| Patent classificating number number | D | 0.25 | 0.5 | 0.25 | 0 | 0 |
| Patent Age | D | 0.25 | 0.5 | 0.25 | 0 | 0 |
The result that assessment weight corresponding to all quantitative targets is normalized is as shown in table 16：
Table 16
It is and then as shown in table 17 according to the weight vectors Q obtained by table 16：
Table 17
The weight vectors Q that the weight of each quantitative target is formed is multiplied with fuzzy evaluating matrix W, obtains quantitative target score
It is vectorial as shown in table 18：
Table 18
Corresponding subordinated-degree matrix J is as shown in table 19：
Table 19
| Subordinated-degree matrix J |
| 0.2 |
| 0.4 |
| 0.6 |
| 0.8 |
| 1 |
Quantitative target can be calculated according to the product of subordinated-degree matrix in the quantitative target score vector of table 18 and table 19
It is worth score.
The value of quantitative target obtained by above-mentioned table 18 and table 19 is scored at 0.595.The appraisal right of all quantitative targets
Weight sum is 0.293, and the quantitative target value assessment finally calculated is scored at：0.595 × 0.293=0.1743.
In the value assessment score and the value assessment score of qualitative index for calculating the quantitative target of patent to be assessed respectively
Afterwards, in addition to step S104：
S104：Obtained according to the value assessment of the value assessment score of the quantitative target of patent to be assessed and qualitative index
Divide, determine the value assessment result of patent to be assessed.
When specific implementation, due to calculating the value assessment score of the quantitative target of patent to be assessed and qualitative
During the value assessment score of index, used standard is different, therefore the standard of two kinds of evaluation scores is united
One, to obtain satisfactory value assessment score, finally drawn according to value assessment score and Patent Ratings set in advance
Divide foundation, determine patent valve estimating result to be assessed.
For example, in the examples described above：
The value assessment score of the patent to be assessed=(value of value assessment score × 10+ qualitative indexes of quantitative target
Evaluate score × 100)=3.803*10+0.1743*100=55.46
Patent Ratings partitioning standards are as shown in table 20：
Table 20
| Patent index is worth | Patent Ratings | Patent value score |
| Value is especially big | A | [80,100) |
| It is worth bigger | B | [60,80) |
| It is worth medium | C | [40,60) |
| It is worth smaller | D | [20,40) |
| Value is especially small | E | [0,20) |
Therefore the value assessment of patent to be assessed is scored at：55.46, in [40,60) in the range of, therefore this is to be assessed specially
Profit belongs to grade C.
The patent value assessment method that the embodiment of the present application is provided, by building assessment indicator system, and determine that this is commented
The assessment weight of each evaluation index in valency index system, for any one patent to be assessed, as long as being based on evaluation index body
Each evaluation index and corresponding assessment weight in system, calculate the value assessment score of the quantitative target of patent to be assessed and determine respectively
The value assessment score of property index, it becomes possible to according to the value assessment score and qualitative index of the quantitative target of patent to be assessed
Value assessment score, determine the value assessment result of patent to be assessed, thus, the patent value assessment method has very strong
Versatility, the assessment that track traffic patent carries out having versatility can be directed to.
Based on same inventive concept, patent valency corresponding with patent value assessment method is additionally provided in the embodiment of the present application
It is worth assessment system, the principle for solving problem due to the system in the embodiment of the present application is commented with the above-mentioned patent value of the embodiment of the present application
Estimate that method is similar, therefore the implementation of system may refer to the implementation of method, repeats part and repeats no more.
Shown in Figure 9, the patent valve estimating system that the embodiment of the present application is provided specifically includes：
Module is built, for building assessment indicator system；Assessment indicator system includes a variety of evaluation indexes, every kind of evaluation
Index is any one in qualitative index and quantitative target；
Determining module, for determining the assessment weight of each evaluation index in assessment indicator system；
Computing module, for based on each evaluation index in assessment indicator system and corresponding assessment weight, calculating treat respectively
Assess the value assessment score of quantitative target and the value assessment score of qualitative index of patent；
Outcome evaluation module, value assessment score and qualitative finger for the quantitative target according to the patent to be assessed
Target value assessment score, determine the value assessment result of patent to be assessed.
Optionally it is determined that module is specifically used for：For every kind of evaluation index in assessment indicator system, for the evaluation index
The more wheels of generation seek the opinion of table；Wherein, seeking the opinion of table includes：Evaluation index corresponding with seeking the opinion of table uses multiple in being seeked the opinion of when front-wheel
Default weighted value；
Table is seeked the opinion of for every wheel, the acquisition expert of multidigit first uses the evaluation index multiple default in the wheel is seeked the opinion of
First marking result of weighted value；Wherein, each round seeks the opinion of table and is corresponding with one first marking result；And next round seeks the opinion of table
Default weighted value is determined based on the first marking result for currently seeking the opinion of table；
According to all the first marking results for seeking the opinion of table, the assessment weight of the evaluation index is calculated.
Optionally it is determined that module is specifically used for：Using following step, determined based on the first marking result for currently seeking the opinion of table
Next round seeks the opinion of the default weighted value of table：For each default weighted value of every kind of evaluation index in table is currently seeked the opinion of, calculate
All first experts preset the average value that weighted value given a mark to this；According to all default weighted value difference of the evaluation index
Corresponding average value, calculate the desired value of the evaluation index respective weights；Based on the desired value of the evaluation index respective weights, really
Determine multiple default weighted values that next round seeks the opinion of the evaluation index in table.
Optionally it is determined that module calculates the assessment weight of the evaluation index according to all the first marking results for seeking the opinion of table
When, it is specifically used for：
It is determined that the desired value that the first marking result based on the evaluation index in last wheel seeks the opinion of table is calculated, and
Final weight using the desired value as the evaluation index；Place is normalized to final weight corresponding to all evaluation indexes
Reason, obtains assessment weight corresponding to every kind of evaluation index.
Alternatively, computing module is specifically used for：For qualitative index, the evaluation score of every kind of qualitative index is calculated；And base
The qualitative index value assessment score of the patent to be assessed is determined in the evaluation score of every kind of qualitative index；For quantitative finger
Mark, the quantitative target value assessment score of the patent to be assessed is calculated using fuzzy overall evaluation algorithm.
Alternatively, computing module calculates the evaluation score of every kind of qualitative index using following step, and based on every kind of qualitative
The evaluation score of index determines the qualitative index value assessment score of the patent to be assessed：Respectively every kind of qualitative index determines
Opinion rating and the scope that scores corresponding with each opinion rating；Every kind of qualitative index corresponds to multiple opinion ratings；Obtain more
Second marking result of individual second expert to every kind of qualitative index；Wherein, the second expert comments according to corresponding to every kind of qualitative index
Valency grade, and scoring scope corresponding with every kind of opinion rating are given a mark to qualitative index；According to the described second marking result, often
Weight of Expert and the assessment weight of every kind of qualitative index corresponding to individual second expert, calculate evaluating for corresponding qualitative index
Point；The evaluation score sum of every kind of qualitative index is defined as to the qualitative index value assessment score of the patent to be assessed.
Alternatively, computing module is directed to quantitative target using following step, using described in the calculating of fuzzy overall evaluation algorithm
The quantitative target value assessment score of patent to be assessed：
Establish quantitative target collection and metrics evaluation corresponding with every kind of quantitative target difference that the quantitative target is concentrated
Collection；The metrics evaluation, which is concentrated, to be included：The grade and different basis weights index and different brackets set for quantitative target is right respectively
The evaluation criterion answered；
According to the quantitative target collection and the metrics evaluation collection, obtain the expert of multidigit the 3rd and every kind of quantitative target is entered
Row grade evaluates obtained class information；
According to grade scoring table, and the every kind of quantitative target corresponding grade information determined, it is the patent to be assessed
Quantitative target generates fuzzy evaluating matrix；The grade scoring table characterizes each grade of quantitative target respectively multiple default etc.
Probability under level scoring；
The weight vectors that the weight of each quantitative target is formed are multiplied with the fuzzy evaluating matrix, quantitative target is obtained and obtains
Divide vector；And the index score vector is multiplied with subordinated-degree matrix, the value score of quantitative target is obtained, wherein, it is described
Subordinated-degree matrix element is the score value of the multiple predetermined level scoring；
The product of the value score and the assessment weight sum of each quantitative target is defined as the patent to be assessed
Quantitative target value assessment score.
The patent valve estimating system that the embodiment of the present application is provided, by building assessment indicator system, and determine that this is commented
The assessment weight of each evaluation index in valency index system, for any one patent to be assessed, as long as being based on evaluation index body
Each evaluation index and corresponding assessment weight in system, calculate the value assessment score of the quantitative target of patent to be assessed and determine respectively
The value assessment score of property index, it becomes possible to according to the value assessment score and qualitative index of the quantitative target of patent to be assessed
Value assessment score, determine the value assessment result of patent to be assessed, thus, the patent value assessment method has very strong
Versatility, the assessment that track traffic patent carries out having versatility can be directed to.
Corresponding to the patent value assessment method in Fig. 1, the embodiment of the present application additionally provides a kind of computer equipment, such as schemes
Shown in 10, the equipment includes memory 1000, processor 2000 and is stored on the memory 1000 and can manage device in this place
The computer program run on 2000, wherein, above-mentioned processor 2000 realizes above-mentioned patent valency when performing above computer program
The step of being worth appraisal procedure.
Specifically, above-mentioned memory 1000 and processor 2000 can be general memory and processor, not do here
It is specific to limit, when the computer program of the run memory 1000 of processor 2000 storage, it is able to carry out above-mentioned patent value and comments
Estimate method, so as to solve the problems, such as that current orbit traffic patent valve estimating does not possess versatility, and then handed over for track
Logical patent carries out the effect with the assessment of versatility.
Corresponding to the passenger traffic bus route planning method in Fig. 1, the embodiment of the present application additionally provides a kind of computer-readable
Storage medium, computer program is stored with the computer-readable recording medium, the computer program is held when being run by processor
The step of row above-mentioned patent value assessment method.
Specifically, the storage medium can be general storage medium, such as mobile disk, hard disk, in the storage medium
Computer program when being run, above-mentioned patent value assessment method is able to carry out, so as to solve current orbit traffic patent valency
Value, which is assessed, does not possess the problem of versatility, and then is directed to the effect that track traffic patent carries out having the assessment of versatility.
The patent value assessment method and the computer program product of system that the embodiment of the present application is provided, including storage
The computer-readable recording medium of program code, the instruction that program code includes can be used for performing in previous methods embodiments
Method, specific implementation can be found in embodiment of the method, will not be repeated here.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
With the specific work process of system, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
If function is realized in the form of SFU software functional unit and as independent production marketing or in use, can stored
In a computer read/write memory medium.Based on such understanding, the technical scheme of the application is substantially in other words to existing
The part for having part that technology contributes or the technical scheme can be embodied in the form of software product, the computer
Software product is stored in a storage medium, including some instructions are make it that a computer equipment (can be personal meter
Calculation machine, server, or network equipment etc.) perform each embodiment method of the application all or part of step.It is and foregoing
Storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random access memory
(RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
More than, the only embodiment of the application, but the protection domain of the application is not limited thereto is any to be familiar with
Those skilled in the art can readily occur in change or replacement in the technical scope that the application discloses, and should all cover
Within the protection domain of the application.Therefore, the protection domain of the application should be defined by scope of the claims.
Claims (10)
- A kind of 1. patent value assessment method, it is characterised in that including：Build assessment indicator system；The assessment indicator system includes a variety of evaluation indexes, and every kind of evaluation index is fixed Any one in property index and quantitative target；Determine the assessment weight of each evaluation index in the assessment indicator system；Based on each evaluation index in the assessment indicator system and corresponding assessment weight, quantifying for patent to be assessed is calculated respectively The value assessment score of index and the value assessment score of qualitative index；According to the value assessment score of the quantitative target of the patent to be assessed and the value assessment score of qualitative index, it is determined that The value assessment result of the patent to be assessed.
- 2. according to the method for claim 1, it is characterised in that each described in the determination assessment indicator system The assessment weight of evaluation index, is specifically included：For every kind of evaluation index in assessment indicator system, generate more wheels for the evaluation index and seek the opinion of table；Wherein, table bag is seeked the opinion of Include：Multiple default weighted values that evaluation index corresponding with seeking the opinion of table uses in being seeked the opinion of when front-wheel；Table is seeked the opinion of for every wheel, obtains multiple default weights that the expert of multidigit first is used in the wheel is seeked the opinion of the evaluation index First marking result of value；Wherein, each round seeks the opinion of table and is corresponding with one first marking result；And next round seeks the opinion of the default of table Weighted value is determined based on the first marking result for currently seeking the opinion of table；According to all the first marking results for seeking the opinion of table, the assessment weight of the evaluation index is calculated.
- 3. according to the method for claim 2, it is characterised in that using following step, based on currently seeking the opinion of first dozen of table Point result determines that next round seeks the opinion of the default weighted value of table：For each default weighted value of every kind of evaluation index in table is currently seeked the opinion of, all first experts are calculated to the default power The average value that weight values are given a mark；The average value according to corresponding to being distinguished all default weighted values of the evaluation index, calculate the phase of the evaluation index respective weights Prestige value；Based on the desired value of the evaluation index respective weights, determine that next round seeks the opinion of multiple default weights of the evaluation index in table Value.
- 4. according to the method for claim 2, it is characterised in that described according to all the first marking results for seeking the opinion of table, meter The assessment weight of the evaluation index is calculated, is specifically included：It is determined that the desired value that the first marking result based on the evaluation index in last wheel seeks the opinion of table is calculated, and should Final weight of the desired value as the evaluation index；Final weight corresponding to all evaluation indexes is normalized, obtains appraisal right corresponding to every kind of evaluation index Weight.
- 5. according to the method described in claim 1-4 any one, it is characterised in that based on each evaluation in the appraisement system Index and corresponding assessment weight, the value assessment score of quantitative target and the value of qualitative index of patent to be assessed are calculated respectively Score is evaluated, is specifically included：For qualitative index, the evaluation score of every kind of qualitative index is calculated；And the evaluation score based on every kind of qualitative index determines The qualitative index value assessment score of the patent to be assessed；For quantitative target, the quantitative target value assessment that the patent to be assessed is calculated using fuzzy overall evaluation algorithm is obtained Point.
- 6. according to the method for claim 5, it is characterised in that evaluating for every kind of qualitative index is calculated using following step Point：Respectively every kind of qualitative index determines opinion rating and the scope that scores corresponding with each opinion rating；Every kind of qualitative finger The corresponding multiple opinion ratings of mark；Obtain second marking result of multiple second experts to every kind of qualitative index；Wherein, the second expert is according to every kind of qualitative finger Opinion rating corresponding to mark, and scoring scope corresponding with every kind of opinion rating are given a mark to qualitative index；According to Weight of Expert and the appraisal right of every kind of qualitative index corresponding to the described second marking result, each second expert Weight, calculate the evaluation score of corresponding qualitative index；Evaluation score based on every kind of qualitative index determines the qualitative index value assessment score of the patent to be assessed, specific bag Include：The evaluation score sum of every kind of qualitative index is defined as to the qualitative index value assessment score of the patent to be assessed.
- 7. according to the method for claim 5, it is characterised in that for quantitative target, using fuzzy overall evaluation algorithm meter The quantitative target value assessment score of the patent to be assessed is calculated, is specifically included：Establish quantitative target collection and metrics evaluation collection corresponding with every kind of quantitative target difference that the quantitative target is concentrated；Institute Stating metrics evaluation and concentrating includes：The grade and different basis weights index set for quantitative target with different brackets is corresponding respectively comments Price card is accurate；According to the quantitative target collection and the metrics evaluation collection, the acquisition expert of multidigit the 3rd is carried out to every kind of quantitative target etc. The class information that level evaluation obtains；According to grade scoring table, and the every kind of quantitative target corresponding grade information determined, for quantifying for the patent to be assessed Index generates fuzzy evaluating matrix；Each grade that the grade scoring table characterizes quantitative target is commented in multiple predetermined levels respectively Probability under point；The weight vectors that the weight of each quantitative target is formed are multiplied with the fuzzy evaluating matrix, obtain quantitative target score to Amount；And the index score vector is multiplied with subordinated-degree matrix, the value score of quantitative target is obtained, wherein, it is described to be subordinate to Spend the score value that matrix element is the scoring of the multiple predetermined level；The product of the value score and the assessment weight sum of each quantitative target is defined as quantifying for the patent to be assessed Index value assessment score.
- A kind of 8. patent valve estimating system, it is characterised in that including：Module is built, for building assessment indicator system；The assessment indicator system includes a variety of evaluation indexes, every kind of described Evaluation index is any one in qualitative index and quantitative target；Determining module, for determining the assessment weight of each evaluation index in the assessment indicator system；Computing module, for based on each evaluation index in the assessment indicator system and corresponding assessment weight, calculating treat respectively Assess the value assessment score of quantitative target and the value assessment score of qualitative index of patent；Outcome evaluation module, value assessment score and qualitative index for quantitative target according to the patent to be assessed Value assessment score, determine the value assessment result of the patent to be assessed.
- 9. a kind of computer equipment includes memory, processor and is stored on the memory and can transport on the processor Capable computer program, it is characterised in that realize the claims 1 to 7 during computer program described in the computing device The step of method described in any one.
- 10. a kind of computer-readable recording medium, computer program is stored with the computer-readable recording medium, its feature Be, when the computer program is run by processor perform any one of the claims 1 to 7 described in method the step of.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710911092.2A CN107705012A (en) | 2017-09-29 | 2017-09-29 | A kind of patent value assessment method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710911092.2A CN107705012A (en) | 2017-09-29 | 2017-09-29 | A kind of patent value assessment method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107705012A true CN107705012A (en) | 2018-02-16 |
Family
ID=61175786
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710911092.2A Pending CN107705012A (en) | 2017-09-29 | 2017-09-29 | A kind of patent value assessment method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107705012A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108694462A (en) * | 2018-03-30 | 2018-10-23 | 北京合享智慧科技有限公司 | Patent value degree evaluation method and computer readable storage medium |
| CN109447699A (en) * | 2018-10-23 | 2019-03-08 | 国网江苏省电力有限公司 | A kind of patent valve estimating system |
| CN110046825A (en) * | 2019-04-23 | 2019-07-23 | 北京恒冠网络数据处理有限公司 | A kind of high value patent analysis and management system based on big data |
| CN110310030A (en) * | 2019-06-27 | 2019-10-08 | 北京航天长征科技信息研究所 | A kind of patent valve estimating system and method based on patent life cycle |
| CN110414753A (en) * | 2018-04-27 | 2019-11-05 | 南方电网科学研究院有限责任公司 | A kind of intellectual property value assessment system and its method |
| CN110909976A (en) * | 2019-10-11 | 2020-03-24 | 重庆大学 | Outburst mine extraction mining deployment rationality judgment improvement method and device |
| CN111461785A (en) * | 2020-04-01 | 2020-07-28 | 支付宝(杭州)信息技术有限公司 | Content value attribute evaluation method and device and copyright trading platform |
| CN111914216A (en) * | 2020-07-31 | 2020-11-10 | 天津泰勘工程技术咨询有限公司 | Local punishment type geological environment engineering construction suitability weight-changing evaluation method |
| CN112528128A (en) * | 2020-12-01 | 2021-03-19 | 成都颜创启新信息技术有限公司 | Data processing method and device, electronic equipment and computer readable storage medium |
| CN113112138A (en) * | 2021-04-01 | 2021-07-13 | 中国民航大学 | Construction method of comprehensive aviation patent evaluation system |
| CN114139848A (en) * | 2021-10-15 | 2022-03-04 | 无锡数据湖信息技术有限公司 | City data asset evaluation method |
-
2017
- 2017-09-29 CN CN201710911092.2A patent/CN107705012A/en active Pending
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108694462B (en) * | 2018-03-30 | 2022-03-15 | 北京合享智慧科技有限公司 | Patent retrieval result sorting method and computer-readable storage medium |
| CN108694462A (en) * | 2018-03-30 | 2018-10-23 | 北京合享智慧科技有限公司 | Patent value degree evaluation method and computer readable storage medium |
| CN110414753A (en) * | 2018-04-27 | 2019-11-05 | 南方电网科学研究院有限责任公司 | A kind of intellectual property value assessment system and its method |
| CN109447699A (en) * | 2018-10-23 | 2019-03-08 | 国网江苏省电力有限公司 | A kind of patent valve estimating system |
| CN110046825A (en) * | 2019-04-23 | 2019-07-23 | 北京恒冠网络数据处理有限公司 | A kind of high value patent analysis and management system based on big data |
| CN110310030A (en) * | 2019-06-27 | 2019-10-08 | 北京航天长征科技信息研究所 | A kind of patent valve estimating system and method based on patent life cycle |
| CN110909976A (en) * | 2019-10-11 | 2020-03-24 | 重庆大学 | Outburst mine extraction mining deployment rationality judgment improvement method and device |
| CN110909976B (en) * | 2019-10-11 | 2023-05-12 | 重庆大学 | Improved method and device for evaluating rationality of mining deployment of outstanding mine |
| CN111461785A (en) * | 2020-04-01 | 2020-07-28 | 支付宝(杭州)信息技术有限公司 | Content value attribute evaluation method and device and copyright trading platform |
| CN111914216A (en) * | 2020-07-31 | 2020-11-10 | 天津泰勘工程技术咨询有限公司 | Local punishment type geological environment engineering construction suitability weight-changing evaluation method |
| CN112528128A (en) * | 2020-12-01 | 2021-03-19 | 成都颜创启新信息技术有限公司 | Data processing method and device, electronic equipment and computer readable storage medium |
| CN113112138A (en) * | 2021-04-01 | 2021-07-13 | 中国民航大学 | Construction method of comprehensive aviation patent evaluation system |
| CN114139848A (en) * | 2021-10-15 | 2022-03-04 | 无锡数据湖信息技术有限公司 | City data asset evaluation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107705012A (en) | A kind of patent value assessment method and system | |
| US11205129B2 (en) | GBDT model feature interpretation method and apparatus | |
| Lahdelma et al. | Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA) | |
| Moisescu | THE IMPORTANCE OF BRAND AWARENESS IN CONSUMERS’BUYING DECISION AND PERCEIVED RISK ASSESSMENT | |
| CN108537623A (en) | Supplier recommends method and system in a kind of e-commerce | |
| CN108665159A (en) | A kind of methods of risk assessment, device, terminal device and storage medium | |
| CN106504015A (en) | A kind of field supplier of enterprise of combination BP neural network recommends method | |
| CN107122894A (en) | The Education Informatization Level appraisal procedure and system of a kind of combination weighting | |
| CN104516897B (en) | A kind of method and apparatus being ranked up for application | |
| CN105956768A (en) | Power generation enterprise competitiveness evaluation method based on combined weight determining and improved TOPSIS | |
| Mwaniki et al. | Effects of total quality management on financial performance in the banking sector: a case study of national bank of Kenya | |
| Cheung et al. | Exploring the potential for predicting project dispute resolution satisfaction using logistic regression | |
| Kim et al. | Human decision-making behavior and modeling effects | |
| CN104361600B (en) | motion recognition method and system | |
| CN115310859A (en) | Urban carbon emission benefit evaluation method | |
| Rostamzadeh et al. | An application of a hybrid MCDM method for the evaluation of entrepreneurial intensity among the SMEs: a case study | |
| Chakraborty et al. | The ability of ratings and choice conjoint to predict market shares: a Monte Carlo simulation | |
| CN107220756A (en) | A kind of Development of IT-based Education horizontal zone contrast difference analysis method and system | |
| Gomes Jr | In-class social networks and academic performance: how good connections can improve grades | |
| Feili et al. | Integration of fuzzy analytic hierarchy process (FAHP) with balance score card (BSC) in order to evaluate the performance of information technology in industry | |
| CN106815257A (en) | The computational methods and device of a kind of User reliability | |
| CN107240019A (en) | Assess customer service preference methods, customer investment risk partiality method and device | |
| Zhang et al. | Core competitiveness indicators: a study of real estate developers in China | |
| Rosslyn-Smith et al. | Establishing turnaround potential before commencement of formal turnaround proceedings | |
| Pasupathy | Forecasting model for strategic and operations planning of a nonprofit health care organization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 101-8, 1st floor, building 31, area 1, 188 South Fourth Ring Road West, Fengtai District, Beijing Applicant after: Guoxin Youyi Data Co., Ltd Address before: 100071 B, block B, ABP building, district ABP building, No. 188 headquarters base of South Fourth Ring West Road Applicant before: SIC YOUE DATA Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180216 |
|
| RJ01 | Rejection of invention patent application after publication |