CN108681809A - Method and system for calculating business data value mark common recognition degree - Google Patents
Method and system for calculating business data value mark common recognition degree Download PDFInfo
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- CN108681809A CN108681809A CN201810426432.7A CN201810426432A CN108681809A CN 108681809 A CN108681809 A CN 108681809A CN 201810426432 A CN201810426432 A CN 201810426432A CN 108681809 A CN108681809 A CN 108681809A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
Abstract
The present invention relates to the method and system for calculating business data value mark common recognition degree, this method includes obtaining business data to collect demand；Business data collection is carried out according to demand, and value mark is carried out to business data, forms marked price；Common recognition degree is carried out to marked price to calculate, and obtains multiple common recognition number of degrees values；Obtain the common recognition number of degrees value met the requirements；It regard the common recognition number of degrees value met the requirements and marked price as new block, carries out link processing.The present invention is collected business data in a manner of contract collecting demand according to business data, for party in request to the monovalent and corresponding ballot weight of single basic data, obtain common recognition number of degrees value, the common recognition number of degrees value common recognition number of degrees value met the requirements is obtained out of multiple common recognition number of degrees values and corresponding marked price is used as new block, it is done with original block and links processing, it realizes quantized data and obtains common recognition degree, whether the mark for weighing business data value is reasonable, deviation is avoided the occurrence of, the demand intensity of business data can be accurately obtained.
Description
Technical field
More specifically refer to for calculating business data value mark common recognition degree the present invention relates to business data marked price
Method and system.
Background technology
Business data refers to all and the relevant information of enterprise operation, data, including company profile, product information, operation
Data, achievement in research etc. are related to trade secret wherein being no lack of.Usually said business data refers to the business data of narrow sense, one
As only comprising company profile introduction, including corporate scope, contact method, scope of the enterprise etc., typically disclosed data.Enterprise
The acquisition channel of industry data is divided into centralized and distributed.Centralization is generally issued by unified government department, such as industrial and commercial inning
According to, statistics office data, have authoritative and comprehensive, but data content is relatively coarse, lacks fineness.Distribution is by business
Company disperses to obtain by various means through subunit and unification arranges, and generally the fineness of data and accuracy can be made to reach
It is required to certain.
The data of enterprise have value, how quantized data, collect data, marked price data and with common recognition algorithm audit data
And its value is of great significance, and the value of business data is marked and reaches common recognition degree, is conducive to the evaluation of enterprise development,
But whether the mark of data value can not rationally be weighed at present, it is susceptible to the value marked content of intentional data, is led
The demand intensity of related data is caused not obtain accurately, deviation, enterprise development occurs in the mark for further resulting in data value
The inaccurate problem of evaluation.
Therefore, it is necessary to design a kind of new method for calculating business data value mark common recognition degree, quantized data is realized
And common recognition degree is obtained, whether the mark for weighing business data value is reasonable, avoids the occurrence of deviation, and can accurately obtain business data
Demand intensity.
Invention content
It is an object of the invention to overcome the deficiencies of existing technologies, provide for calculating business data value mark common recognition degree
Method and system.
To achieve the above object, the present invention uses following technical scheme：For calculating business data value mark common recognition degree
Method, the method includes：
It obtains business data and collects demand；
Business data collection is carried out according to demand, and value mark is carried out to business data, forms marked price；
Common recognition degree is carried out to the marked price to calculate, and obtains multiple common recognition number of degrees values；
Obtain the common recognition number of degrees value met the requirements；
It regard the common recognition number of degrees value met the requirements and marked price as new block, carries out link processing.
Its further technical solution is：Business data collection is carried out according to demand, and value mark is carried out to business data,
The step of forming marked price, including step in detail below：
Business data is acquired with forms of contract, and obtains each basic data in contract；
Determine the rank of basic data；
Weight is obtained according to the rank of basic data；
Obtain the corresponding unit price of basic data；
It is weighted summation according to the monovalent and corresponding weight of basic data, obtains business data marked price.
Its further technical solution is：The step of common recognition degree calculates, obtains multiple common recognition number of degrees values is carried out to the marked price,
Including step in detail below：
Obtain the weight of reference people and the data of ballot；
Integrate simultaneously smoothing processing according to weight and polled data, obtains ballot weight；
Multiple common recognition number of degrees values are obtained according to ballot weight.
Its further technical solution is：The step of obtaining the common recognition number of degrees value met the requirements, including step in detail below：
According to being ranked up from high in the end to ballot weight；
Obtain marked price and common recognition number of degrees value of the ranking corresponding to the ballot weight of sets requirement.
Its further technical solution is：It regard the common recognition number of degrees value met the requirements and marked price as new block, is linked
The step of processing, including step in detail below：
Obtain the time corresponding to the common recognition number of degrees value met the requirements；
Common recognition number of degrees value and the marked price known together corresponding to number of degrees value are stored to block chain corresponding position according to the time.
The present invention also provides for calculate business data value mark common recognition degree system, including demand acquiring unit,
Mark unit, computing unit, numerical value acquiring unit and processing unit；
The demand acquiring unit collects demand for obtaining business data；
The mark unit for carrying out business data collection according to demand, and carries out value mark, shape to business data
At marked price；
The computing unit calculates for carrying out common recognition degree to the marked price, obtains multiple common recognition number of degrees values；
The numerical value acquiring unit, for obtaining the common recognition number of degrees value met the requirements；
The processing unit, common recognition number of degrees value and marked price for will meet the requirements are used as new block, carry out at link
Reason.
Its further technical solution is：The mark unit includes acquisition module, rank determination module, Weight Acquisition mould
Block, monovalent acquisition module and weighted sum module；
The acquisition module for acquiring business data with forms of contract, and obtains each basic data in contract；
The rank determination module, the rank for determining basic data；
The Weight Acquisition module, for obtaining weight according to the rank of basic data；
The unit price acquisition module, for obtaining the corresponding unit price of basic data；
The weighted sum module is obtained for being weighted summation according to the monovalent and corresponding weight of basic data
Business data is taken to mark the price.
Its further technical solution is：The computing unit includes data acquisition module, integrates Leveling Block and synthesis
Module；
The data acquisition module, the data of weight and ballot for obtaining reference people；
The integration Leveling Block obtains ballot for integrate simultaneously smoothing processing according to weight and polled data
Weight；
The integration module, for obtaining multiple common recognition number of degrees values according to ballot weight.
Its further technical solution is：The numerical value acquiring unit includes sorting module and setting condition acquisition module；
The sorting module, for according to being ranked up from high in the end to ballot weight；
The setting condition acquisition module, for obtain marked price of the ranking corresponding to the ballot weight of sets requirement and
Common recognition number of degrees value.
Its further technical solution is：The processing unit includes time-obtaining module and memory module；
The time-obtaining module, for obtaining the time corresponding to the common recognition number of degrees value met the requirements；
The memory module, for arriving common recognition number of degrees value and the marked price storage known together corresponding to number of degrees value according to the time
Block chain corresponding position.
Compared with the prior art, the invention has the advantages that：The present invention's knows together for calculating business data value mark
The method of degree is collected business data in a manner of contract collecting demand according to business data, for party in request pair
The monovalent and corresponding ballot weight of single basic data obtains common recognition number of degrees value, is got out of multiple common recognition number of degrees values
The common recognition number of degrees value met the requirements, the common recognition number of degrees value and its corresponding marked price are used as new block, and chain is made with original block
Processing is connect, realize quantized data and obtains common recognition degree, whether the mark for weighing business data value is reasonable, avoids the occurrence of deviation,
And it can accurately obtain the demand intensity of business data.
The invention will be further described in the following with reference to the drawings and specific embodiments.
Description of the drawings
Fig. 1 is the flow for the method for calculating business data value mark common recognition degree that the specific embodiment of the invention provides
Figure one；
Fig. 2 is the flow for the method for calculating business data value mark common recognition degree that the specific embodiment of the invention provides
Figure two；
Fig. 3 is the carry out business data collection according to demand that the specific embodiment of the invention provides and carries out valence to business data
It is worth the flow chart of mark；
Fig. 4 is the flow chart that the calculating of common recognition degree is carried out to the marked price that the specific embodiment of the invention provides；
Fig. 5 is the flow chart for the common recognition number of degrees value that the acquisition that the specific embodiment of the invention provides is met the requirements；
Fig. 6 be the specific embodiment of the invention provide using the common recognition number of degrees value met the requirements as new block and link
The flow chart of processing；
Fig. 7 is the schematic diagram that the contract that the specific embodiment of the invention provides indicates business data；
Fig. 8 is the table of the indirect cashability weight for the data that the specific embodiment of the invention provides；
Fig. 9 is the business data value mark common recognition degree table that the specific embodiment of the invention provides；
Figure 10 is the knot for the system for calculating business data value mark common recognition degree that the specific embodiment of the invention provides
Structure block diagram；
Figure 11 is the structure diagram for the mark unit that the specific embodiment of the invention provides；
Figure 12 is the structure diagram for the computing unit that the specific embodiment of the invention provides；
Figure 13 is the structure diagram for the numerical value acquiring unit that the specific embodiment of the invention provides；
Figure 14 is the structure diagram for the processing unit that the specific embodiment of the invention provides.
Specific implementation mode
In order to more fully understand the present invention technology contents, with reference to specific embodiment to technical scheme of the present invention into
One step introduction and explanation, but not limited to this.
The specific embodiment as shown in Fig. 1~14, what the present embodiment one to three provided marks for calculating business data value
The method for noting common recognition degree, can apply in enterprise development evaluation procedure, realize quantized data and obtain common recognition degree, weigh enterprise
Whether the mark of data value is reasonable, avoids the occurrence of deviation, and can accurately obtain the demand intensity of business data.
As shown in Figure 1, the present invention provides the method for calculating business data value mark common recognition degree, this method packet
It includes：
S1, business data collection demand is obtained；
S2, business data collection is carried out according to demand, and value mark is carried out to business data, form marked price；
S3, the calculating of common recognition degree is carried out to the marked price, obtain multiple common recognition number of degrees values；
The common recognition number of degrees value that S4, acquisition are met the requirements；
S5, the common recognition number of degrees value met the requirements and marked price are regard as new block, carries out link processing.
Preferably, above-mentioned S1 steps specifically propose that business data collects demand, to enterprise by the equity holding people of enterprise
The mark that industry data are worth.
Further, as shown in Fig. 2, above-mentioned S2 steps, carry out business data collection, and to enterprise's number according to demand
According to the step of carrying out value mark, forming marked price, including step in detail below：
S21, business data is acquired with forms of contract, and obtains each basic data in contract；
S22, the rank for determining basic data；
S23, weight is obtained according to the rank of basic data；
S24, the corresponding unit price of basic data is obtained；
S25, it is weighted summation according to the monovalent and corresponding weight of basic data, obtains business data marked price.
It is as follows to the principle of data marked price for above-mentioned S21 steps：If every part of data are acquired by a forms of contract,
And every part of contract is made of several master datas, for example, for the data of enterprise A, will finally be indicated by a contract, is such as schemed
Shown in 7, every data in contract is all basic data.
For above-mentioned S22 steps, in the case where total data value obtains control (with forms of contract granting, limitation
The quantity of contract), the final value of each contract is calculated by constituting its master data Determination of Value, master data value by common recognition
The result of method solves.Other than the value of master data, determined by its indirect cashability per the weight of data, level it
Between weight have transitivity：The weight of next stage is the half of upper level, in this way, ensureing all master data valences of each contract
The sum of value does not exceed the value upper limit of each contract, can be by correlation therefore, it is necessary to first determine the rank of every basic data
Expert determines, in other embodiment, can also do the degree of approximation according to the data being stored in database and compare, the demand degree of approximation is most
Rank corresponding to high data directly assigns the rank of the basic data.
For above-mentioned S23 steps, for example, it is assumed that the weight of the data of the indirect cashability of level-one be 0.5, then its
The weight of other basic datas is as shown in figure 8, form the indirect cashability of data, weight W in affiliated contractvAnd it is corresponding
Basic data list.
For above-mentioned S24 steps, the corresponding unit price of basic data is specifically provided by demand data side, which can be with
Dynamic change, by market to the factors influencing demand of data.
For above-mentioned S25 steps, specifically, the value calculation formula of a contract is Ctv=∑(i=1, n)(Wvi*Cpv),
Wherein, wherein the range of i is 1 to n, and n is the master data number for forming contract, CpvIt is the price of single data, is needed by data
The side of asking provides initial value, then is adjusted by the result for algorithm of knowing together.Such as：For the same contract (phase of same enterprise
With the identical data of dimension) C that provide of demand data person ApvIt is 100, the contract common recognition degree generated on this basis of price is
30%, the C that demand data person B is providedpvIt is 200, contract common recognition degree is 70%, the C that demand data person C is providedpvIt is 300, contract
Common recognition degree is 20%, then, final received single data price should be 200.In this way, if someone's malice occur forces down mark
Valence raises marked price, can be opposed by way of game, and whether the mark for weighing business data value is reasonable, keeps away
Exempt from deviation occur；In addition, the demand intensity of business data can be got from data price is challenge by oneself.
Further, above-mentioned S3 steps carry out common recognition degree to the marked price and calculate, and obtain multiple common recognition number of degrees values
Step, including step in detail below：
The data of S31, the weight for obtaining reference people and ballot；
S32, integrate simultaneously smoothing processing according to weight and polled data, obtain ballot weight；
S33, multiple common recognition number of degrees values are obtained according to ballot weight.
For above-mentioned S31 steps to S33 steps, common recognition needs reference crowd to make judgement below：Check contract
Whether every master data and its value of mark are reasonable, by inquiry or according to the micro-judgment of oneself, feel reasonable, throw
Affirmative vote is not so sure, and is abstained, and is not agreed with, and is voted against, and abstention will not account for range, affirmative vote
As a result it participates in calculating in the form of numerical value 1, i.e. 1*Wf, the result of negative vote participates in calculating in the form of -1, i.e. (- 1) * Wf, WfGeneration
Voting results of the final single reference people of table to some contract.If the emotion of ballot is S, value is 1 or -1, is thrown
Then S=1, the S=-1 if voting against, principle are as shown above for affirmative vote.
In addition, as shown in Fig. 2, algorithm engine is using DPOS, (Delegated Proof of Stake appoint equity card
It is bright), by the common recognition degree of algorithm determination data marked price, other shareholders in network, which are reference crowd's reference individuals, can select generation
The voting process is managed, the standard that can be acted as agent, which is stock option person, to consign to agency by the permission of ballot, be based on equity valence
Be worth the special scenes of assessment, not all people has permission to become agency, become the people of agency identity belong to it is following a kind of or
Person's multiclass：Stock supervisory committee, stock trader, the investment bank or lawyer's office.
For reference people, reference people is exactly other shareholders in network, including the enterprise shareholder that is related to of data and its
Its shareholder.The definition of network range depends on the circumstances, related with the feasibility of data acquisition.Under default situations, network includes work
All shareholders registered in quotient data have to the ballot equity for ensureing to have non-targeted enterprise shareholder, such as：Contract is about enterprise
The data of industry A, then in reference people, it is necessary to include the shareholder of nonbusiness A.
For above-mentioned S31 steps, the value that burst ratio and its share-holding enterprise are accounted for according to shareholder is different, each shareholder vote
Weight (W) formula of the weighted of (ballot to data value), reference people is as follows：N represents this
Company's number of shareholder institute stock option, ValnRepresent the value of stock right that this shareholder is held in n-th enterprise.ValnBy Chinese parasol tree
Intelligent equity valuation system (AIEV) under paulownia data 1 calculates.
Relative weighting (Wr) calculation formula it is as follows：Wr=W/Wa；WaThe total value for representing equity in network, is carried by AIEV
For.
The ballot of agency is converted into the influence to upper level share-holding person's weight：Wtr=(m/M) * Wr；WtrSome is represented to hold
The final relative weighting for acting on behalf of team of stock person's ballot, M represent the sum of all succedaneum's ballots, and m is represented to share-holding person's
Agent's votes.
It is specific integrate simultaneously smoothing processing using following formula for above-mentioned S32 steps：Wi=0.7*Wr+0.3*
Wtr；Thresh=(Vh–Vl)(Wi-Vl)/(Vh-Vl)+Ve；Vh、Vl, Ve respectively represent historical high weight, lowest weightings and average
Weight.Wf=S*Thresh*Wi；WiThe ballot weight after integrating is represented, S is the emotion of ballot, and value is 1 or -1, point
It Dai Biao not agree with and oppose, WfFinal single reference people is represented to the voting results of some contract, is formed with the voting results
Common recognition number of degrees value.
Further, above-mentioned S4 steps, the step of obtaining the common recognition number of degrees value met the requirements, including walk in detail below
Suddenly：
S41, according to being ranked up from high in the end to ballot weight；
S42, marked price and common recognition number of degrees value of the ranking corresponding to the ballot weight of sets requirement are obtained.
For some contract being reviewed, based on different CtvMany contract prices are had, only consider the weight of ballot,
All ballot weights sort from high to low, and ranking is more than 70% (or other setting values, according to depending on actual conditions), then
Think that audit of the contract by algorithm of knowing together, final received contract price calculation formula are：Vf=Ctv*Wf；Due to Ctv
Difference, what is obtained is the Price Range of contract.
In addition, for above-mentioned S5 steps, it regard the common recognition number of degrees value met the requirements and marked price as new block, carries out chain
The step of connecing processing, including step in detail below：
The time corresponding to common recognition number of degrees value that S51, acquisition are met the requirements；
S52, common recognition number of degrees value and the marked price known together corresponding to number of degrees value are stored to block chain corresponding positions according to the time
It sets.
The contract is linked in existing block chain by the marked price of common recognition with this, block chain is made of contract, first
It is distinguished into block chain region according to ground, in a region, contract is stored by the chronological order of common recognition according to contract
To corresponding position, stored sequentially in time in the starting stage, it, can be according to other when data volume reaches a certain level
Relationship, which is established, to be coupled, such as the relation between supply and demand lamp between enterprise.
The game for considering data both sides of supply and demand, if demand data person wants to bring down prices, need through data set provider and
The common recognition of other shareholders, if it is that will not pass through that price is too low, its interests is protected in the shareholders' meeting of enterprise.If data set provider handle
Prices obtain it is very high, and cannot passing through by other enterprise shareholders.So rational data marked price is obtained by game
, the price of data is also influenced by the quality of data, and the quality of data is influenced by the output of data picker, if data acquire
Person's ability is limited to cause the valuable data of script can not be by common recognition, then the data marked price obtained in this case is that have partially
Difference.Therefore, it is necessary to the acquisitions of stringent control business data, ensure the integrality and accuracy of data acquisition.
In addition, this method quantifies business data, by the synthesis auditing capabilities of reference crowd, audit the data passed through and
It, which is marked the price, has reacted the public demand intensity to related data, and the more high then demand intensity of price is bigger.
For example, as shown in figure 9, for business data A, there are three demand data persons to provide price, and line obtains enterprise
Data marked price is challenge by oneself in data A contracts, and the unit price that the agent Zhang Yi of investor king one is provided is 200 yuan/item, the generation of king two
The unit price that reason people provides is 550 yuan/item, and the unit price that three agent Zhang San of king provides is 250 yuan/item, the agent Zhang Si of Wang Si
The unit price provided is 400 yuan/item；It is the agent of king one opens one and three agent of king that wherein ballot weight, which is more than 70%,
Three, therefore the value that both final corresponding price is business data A.
The above-mentioned method for calculating business data value mark common recognition degree, by according to business data collection demand with
The mode of contract is collected business data, for party in request to the monovalent and corresponding franchise of single basic data
Weight obtains common recognition number of degrees value, gets the common recognition number of degrees value met the requirements out of multiple common recognition number of degrees values, the common recognition number of degrees value with
And its corresponding marked price is used as new block, is done with original block and links processing, realizes quantized data and obtains common recognition degree, weighs
Whether the mark of business data value is reasonable, avoids the occurrence of deviation, and can accurately obtain the demand intensity of business data.
As shown in Figure 10, the present embodiment additionally provides the system for calculating business data value mark common recognition degree, packet
Include demand acquiring unit 1, mark unit 2, computing unit 3, numerical value acquiring unit 4 and processing unit 5.
Demand acquiring unit 1 collects demand for obtaining business data.Specifically propose to look forward to by the equity holding people of enterprise
Industry data collection requirement, the mark that business data is worth.
Unit 2 is marked, for carrying out business data collection according to demand, and value mark is carried out to business data, is formed
Marked price.
Computing unit 3 calculates for carrying out common recognition degree to the marked price, obtains multiple common recognition number of degrees values.
Numerical value acquiring unit 4, for obtaining the common recognition number of degrees value met the requirements.
Processing unit 5, common recognition number of degrees value and marked price for will meet the requirements are used as new block, carry out link processing.
Further, above-mentioned mark unit 2 includes acquisition module 21, rank determination module 22, Weight Acquisition module
23, monovalent acquisition module 24 and weighted sum module 25.
Acquisition module 21 for acquiring business data with forms of contract, and obtains each basic data in contract.Logarithm
It is as follows according to the principle of marked price：If every part of data are acquired by a forms of contract, and every part of contract is made of several master datas,
For example, for the data of enterprise A, it will finally be indicated by a contract, as shown in fig. 7, every data in contract is all basis
Data.
Rank determination module 22, the rank for determining basic data.In the case where total data value obtains control
(with forms of contract granting, limiting the quantity of contract), the final value of each contract by constituting its master data Determination of Value,
Master data is worth to be solved by the result of common recognition algorithm.Other than the value of master data, the weight per data is by therebetween
Cashability decision is connect, the weight between level has transitivity：The weight of next stage is the half of upper level, in this way, ensureing
The sum of each all master data values of contract do not exceed the value upper limit of each contract, and therefore, it is necessary to first determine every base
The rank of plinth data can be determined by associated specialist, in other embodiment, can also be done according to the data being stored in database
The degree of approximation compares, and the rank corresponding to the highest data of the demand degree of approximation directly assigns the rank of the basic data.
Weight Acquisition module 23, for obtaining weight according to the rank of basic data.For example, it is assumed that level-one becomes indirectly
The weight of the data of existing ability is 0.5, then in the contract belonging to it weight of other basic datas as shown in figure 8, forming number
According to indirect cashability, weight WvAnd the list of corresponding basic data.
Monovalent acquisition module 24, for obtaining the corresponding unit price of basic data.Basis is specifically provided by demand data side
The corresponding unit price of data, the unit price can be with dynamic changes, by market to the factors influencing demand of data.
Weighted sum module 25 is obtained for being weighted summation according to the monovalent and corresponding weight of basic data
Business data is marked the price.Specifically, the value calculation formula of a contract is Ctv=∑(i=1, n)(Wvi*Cpv), wherein wherein, i's
Range is 1 to n, and n is the master data number for forming contract, CpvIt is the price of single data, is provided initially by demand data side
Value, then be adjusted by the result for algorithm of knowing together.Such as：For the same contract (identical dimensional of same enterprise it is identical
Data) C that provide of demand data person ApvIt is 100, the contract common recognition degree generated on this basis of price is 30%, demand data
The C that person B is providedpvIt is 200, contract common recognition degree is 70%, the C that demand data person C is providedpvIt is 300, contract common recognition degree is 20%,
So, final received single data price should be 200.If forcing down marked price in this way, there is someone's malice or raising mark
Valence can be opposed whether the mark for weighing business data value is reasonable, avoids the occurrence of deviation by way of game；
In addition, the demand intensity of business data can be got from data price is challenge by oneself.
Further, above-mentioned computing unit 3 includes data acquisition module 31, integrates Leveling Block 32 and comprehensive mould
Block 33.
Data acquisition module 31, the data of weight and ballot for obtaining reference people.
Leveling Block 32 is integrated, for integrate simultaneously smoothing processing according to weight and polled data, obtains franchise
Weight.
Integration module 33, for obtaining multiple common recognition number of degrees values according to ballot weight.
Common recognition needs reference crowd to make judgement below：Every master data of inspection contract and its value of mark are
It is no rationally by inquiry or according to the micro-judgment of oneself, to feel reasonable, vote for, be not so sure, abstain,
It does not agree with, votes against, abstention will not account for range, and the result of affirmative vote participates in calculating in the form of numerical value 1, i.e.,
1*Wf, the result of negative vote participates in calculating in the form of -1, i.e. (- 1) * Wf, WfFinal single reference people is represented to some contract
Voting results.If the emotion of ballot is S, value is 1 or -1, and vote for then S=1, the S if voting against
=-1, principle is as shown above.
In addition, as shown in Fig. 2, algorithm engine is using DPOS, (Delegated Proof of Stake appoint equity card
It is bright), by the common recognition degree of algorithm determination data marked price, other shareholders in network, which are reference crowd's reference individuals, can select generation
The voting process is managed, the standard that can be acted as agent, which is stock option person, to consign to agency by the permission of ballot, be based on equity valence
Be worth the special scenes of assessment, not all people has permission to become agency, become the people of agency identity belong to it is following a kind of or
Person's multiclass：Stock supervisory committee, stock trader, the investment bank or lawyer's office.
For reference people, reference people is exactly other shareholders in network, including the enterprise shareholder that is related to of data and its
Its shareholder.The definition of network range depends on the circumstances, related with the feasibility of data acquisition.Under default situations, network includes work
All shareholders registered in quotient data have to the ballot equity for ensureing to have non-targeted enterprise shareholder, such as：Contract is about enterprise
The data of industry A, then in reference people, it is necessary to include the shareholder of nonbusiness A.
The value that burst ratio and its share-holding enterprise are accounted for according to shareholder is different, each shareholder vote (ballot to data value)
Weighted, weight (W) formula of reference people is as follows：N represents the public affairs of this shareholder institute stock option
Take charge of number, ValnRepresent the value of stock right that this shareholder is held in n-th enterprise.ValnBy the intelligent stock under Chinese parasol tree data 1
Valuation system (AIEV) is weighed to calculate.
Relative weighting (Wr) calculation formula it is as follows：Wr=W/Wa；WaThe total value for representing equity in network, is carried by AIEV
For.
The ballot of agency is converted into the influence to upper level share-holding person's weight：Wtr=(m/M) * Wr；WtrSome is represented to hold
The final relative weighting for acting on behalf of team of stock person's ballot, M represent the sum of all succedaneum's ballots, and m is represented to share-holding person's
Agent's votes.
It is specific integrate simultaneously smoothing processing using following formula：Wi=0.7*Wr+0.3*Wtr；Thresh=(Vh–Vl)
(Wi-Vl)/(Vh-Vl)+Ve；Vh、Vl, Ve respectively represent historical high weight, lowest weightings and average weight.Wf=S*Thresh*
Wi；WiThe ballot weight after integrating is represented, S is the emotion of ballot, and value is 1 or -1, respectively represents and agrees with and oppose,
WfVoting results of the final single reference people to some contract are represented, are built consensus number of degrees value with the voting results.
Further, include sorting module 41 and setting condition acquisition module for above-mentioned numerical value acquiring unit 4
42。
Sorting module 41, for according to being ranked up from high in the end to ballot weight.
Setting condition acquisition module 42, for obtaining marked price of the ranking corresponding to the ballot weight of sets requirement and altogether
Knowledge and magnanimity numerical value.
For some contract being reviewed, based on different CtvMany contract prices are had, only consider the weight of ballot,
All ballot weights sort from high to low, and ranking is more than 70% (or other setting values, according to depending on actual conditions), then
Think that audit of the contract by algorithm of knowing together, final received contract price calculation formula are：Vf=Ctv*Wf；Due to Ctv
Difference, what is obtained is the Price Range of contract.
Further, above-mentioned processing unit 5 includes time-obtaining module 51 and memory module 52.
Time-obtaining module 51, for obtaining the time corresponding to the common recognition number of degrees value met the requirements.
Memory module 52, for storing common recognition number of degrees value and the marked price known together corresponding to number of degrees value to area according to the time
Block chain corresponding position.
The contract is linked in existing block chain by the marked price of common recognition with this, block chain is made of contract, first
It is distinguished into block chain region according to ground, in a region, contract is stored by the chronological order of common recognition according to contract
To corresponding position, stored sequentially in time in the starting stage, it, can be according to other when data volume reaches a certain level
Relationship, which is established, to be coupled, such as the relation between supply and demand lamp between enterprise.
The game for considering data both sides of supply and demand, if demand data person wants to bring down prices, need through data set provider and
The common recognition of other shareholders, if it is that will not pass through that price is too low, its interests is protected in the shareholders' meeting of enterprise.If data set provider handle
Prices obtain it is very high, and cannot passing through by other enterprise shareholders.So rational data marked price is obtained by game
, the price of data is also influenced by the quality of data, and the quality of data is influenced by the output of data picker, if data acquire
Person's ability is limited to cause the valuable data of script can not be by common recognition, then the data marked price obtained in this case is that have partially
Difference.Therefore, it is necessary to the acquisitions of stringent control business data, ensure the integrality and accuracy of data acquisition.
In addition, this method quantifies business data, by the synthesis auditing capabilities of reference crowd, audit the data passed through and
It, which is marked the price, has reacted the public demand intensity to related data, and the more high then demand intensity of price is bigger.
For example, as shown in figure 9, for business data A, there are three demand data persons to provide price, and line obtains enterprise
Data marked price is challenge by oneself in data A contracts, and the unit price that the agent Zhang Yi of investor king one is provided is 200 yuan/item, the generation of king two
The unit price that reason people provides is 550 yuan/item, and the unit price that three agent Zhang San of king provides is 250 yuan/item, the agent Zhang Si of Wang Si
The unit price provided is 400 yuan/item；It is the agent of king one opens one and three agent of king that wherein ballot weight, which is more than 70%,
Three, therefore the value that both final corresponding price is business data A.
The above-mentioned system for calculating business data value mark common recognition degree, by according to business data collection demand with
The mode of contract is collected business data, for party in request to the monovalent and corresponding franchise of single basic data
Weight obtains common recognition number of degrees value, gets the common recognition number of degrees value met the requirements out of multiple common recognition number of degrees values, the common recognition number of degrees value with
And its corresponding marked price is used as new block, is done with original block and links processing, realizes quantized data and obtains common recognition degree, weighs
Whether the mark of business data value is reasonable, avoids the occurrence of deviation, and can accurately obtain the demand intensity of business data.
It is above-mentioned only with embodiment come the technology contents that further illustrate the present invention, in order to which reader is easier to understand, but not
It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by the present invention's
Protection.Protection scope of the present invention is subject to claims.
Claims (10)
1. the method for calculating business data value mark common recognition degree, which is characterized in that the method includes：
It obtains business data and collects demand；
Business data collection is carried out according to demand, and value mark is carried out to business data, forms marked price；
Common recognition degree is carried out to the marked price to calculate, and obtains multiple common recognition number of degrees values；
Obtain the common recognition number of degrees value met the requirements；
It regard the common recognition number of degrees value met the requirements and marked price as new block, carries out link processing.
2. the method according to claim 1 for calculating business data value mark common recognition degree, which is characterized in that according to
Demand carries out business data collection, and the step of carrying out value mark to business data, form marked price, including walks in detail below
Suddenly：
Business data is acquired with forms of contract, and obtains each basic data in contract；
Determine the rank of basic data；
Weight is obtained according to the rank of basic data；
Obtain the corresponding unit price of basic data；
It is weighted summation according to the monovalent and corresponding weight of basic data, obtains business data marked price.
3. the method according to claim 2 for calculating business data value mark common recognition degree, which is characterized in that institute
State the step of marked price carries out the calculating of common recognition degree, obtains multiple common recognition number of degrees values, including step in detail below：
Obtain the weight of reference people and the data of ballot；
Integrate simultaneously smoothing processing according to weight and polled data, obtains ballot weight；
Multiple common recognition number of degrees values are obtained according to ballot weight.
4. the method according to claim 3 for calculating business data value mark common recognition degree, which is characterized in that obtain
The step of common recognition number of degrees value met the requirements, including step in detail below：
According to being ranked up from high in the end to ballot weight；
Obtain marked price and common recognition number of degrees value of the ranking corresponding to the ballot weight of sets requirement.
5. the method according to any one of claims 1 to 4 for calculating business data value mark common recognition degree, feature
The step of being, regarding the common recognition number of degrees value met the requirements and marked price as new block, carry out link processing, including in detail below
Step：
Obtain the time corresponding to the common recognition number of degrees value met the requirements；
Common recognition number of degrees value and the marked price known together corresponding to number of degrees value are stored to block chain corresponding position according to the time.
6. the system for calculating business data value mark common recognition degree, which is characterized in that single including demand acquiring unit, mark
Member, computing unit, numerical value acquiring unit and processing unit；
The demand acquiring unit collects demand for obtaining business data；
The mark unit carries out value mark for carrying out business data collection according to demand, and to business data, forms mark
Valence；
The computing unit calculates for carrying out common recognition degree to the marked price, obtains multiple common recognition number of degrees values；
The numerical value acquiring unit, for obtaining the common recognition number of degrees value met the requirements；
The processing unit, common recognition number of degrees value and marked price for will meet the requirements are used as new block, carry out link processing.
7. the system according to claim 6 for calculating business data value mark common recognition degree, which is characterized in that described
Mark unit includes acquisition module, rank determination module, Weight Acquisition module, monovalent acquisition module and weighted sum module；
The acquisition module for acquiring business data with forms of contract, and obtains each basic data in contract；
The rank determination module, the rank for determining basic data；
The Weight Acquisition module, for obtaining weight according to the rank of basic data；
The unit price acquisition module, for obtaining the corresponding unit price of basic data；
The weighted sum module obtains enterprise for being weighted summation according to the monovalent and corresponding weight of basic data
Industry data are marked the price.
8. the system according to claim 7 for calculating business data value mark common recognition degree, which is characterized in that described
Computing unit includes data acquisition module, integrates Leveling Block and integration module；
The data acquisition module, the data of weight and ballot for obtaining reference people；
The integration Leveling Block obtains ballot weight for integrate simultaneously smoothing processing according to weight and polled data；
The integration module, for obtaining multiple common recognition number of degrees values according to ballot weight.
9. the system according to claim 8 for calculating business data value mark common recognition degree, which is characterized in that described
Numerical value acquiring unit includes sorting module and setting condition acquisition module；
The sorting module, for according to being ranked up from high in the end to ballot weight；
The setting condition acquisition module, for obtaining marked price and common recognition of the ranking corresponding to the ballot weight of sets requirement
Number of degrees value.
10. the system according to claim 9 for calculating business data value mark common recognition degree, which is characterized in that institute
It includes time-obtaining module and memory module to state processing unit；
The time-obtaining module, for obtaining the time corresponding to the common recognition number of degrees value met the requirements；
The memory module, for storing common recognition number of degrees value and the marked price known together corresponding to number of degrees value to block according to the time
Chain corresponding position.
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| CN113807872A (en) * | 2020-06-11 | 2021-12-17 | 中国标准化研究院 | Data asset value evaluation system and method |
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