CN110704149A - System and method for adapting enterprise and industrial space - Google Patents
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Abstract
The system is characterized by comprising a UI module, a screening system, an operation module and a database module, wherein the UI module is in communication connection with the screening module, the screening system is in communication connection with the database module, the screening system is in communication connection with the operation module, and the operation module is in communication connection with the UI module. In the invention, the adaptation system can meet the adaptation of enterprises and industrial spaces according to the input requirements of users. The problem of mismatch between enterprises and industrial spaces can be solved, and the method is simple, efficient, accurate and quick, and can meet individual requirements of different enterprises and parks.
Description
Technical Field
The invention relates to the field of computer software adaptation methods, in particular to the field of adaptation methods of enterprises and industrial spaces.
Background
After the advanced cities in the coastal areas develop at a high speed for decades, the advanced cities enter the development stage of the middle and later period of industrialization, which is mainly dominated by the service industry and the high-tech industry, under the tight constraint of industrial space. For example, Shenzhen, the industry space supply has been supplied by the right of way supply to the industry room. Compared with office buildings and houses, industrial rooms have different service levels and different requirements of enterprises on different types of industrial rooms, and the supply of the industrial rooms and the requirements of the enterprises are mismatched all the time. Countless enterprises cannot find suitable industrial space, and even request government assistance to solve related demands; many businesses that cannot reach the mental plant also require a significant amount of additional advertising expense. Therefore, it is a problem to be solved to get through the barriers between the enterprise and the garden.
Under the economic action of the market, a plurality of intermediary organizations linking enterprises and parks are also promoted. These intermediary agencies do play a role in the docking of business with industrial spaces. However, these traditional intermediary mechanisms still rely on ancient intermediary concepts, rely on the man-sea tactics with low technical content, and adopt an exhaustive docking method with low success rate, which is inefficient, and cannot form a scale and efficiently solve the problem of enterprise-industrial house mismatch.
Disclosure of Invention
In order to solve the above problems, the present invention provides a system and a method for adapting an enterprise space to an industrial space based on an attribute set and a mixed weight, which are simple and efficient and can solve the problem of mismatch between the enterprise space and the industrial space.
The invention also aims to provide an enterprise and industry space adaptation system and method based on the attribute set and the mixed weight, which can meet the individual requirements of different enterprises and parks.
In order to achieve the above object, the present invention has the following technical means.
The invention provides an adaptation system of enterprise and industrial space, which is characterized by comprising a UI module, a screening system, an operation module and a database module, wherein the UI module is in communication connection with the screening system;
the UI module is a user interface, an interface for inputting screening conditions and an interface for displaying screening results for a user;
the screening system screens out a required data set according to the screening conditions input into the UI module by the user;
the operation module is used for operating the data screened out according to the screening system and transmitting the operated data to the UI module;
and the database module stores the required data into the database module and provides a set of data required by the screening system in cooperation with the screening system. The adaptation system can meet the adaptation of enterprises and industrial spaces according to the input requirements of users. The problem of mismatch between enterprises and industrial spaces can be solved, and the method is simple, efficient, accurate and quick, and can meet individual requirements of different enterprises and parks.
Furthermore, the database module comprises an industrial space database and an enterprise database.
Furthermore, the screening system comprises an attribute abstract module, a weight module and a screening module, wherein the UI module is in communication connection with the attribute abstract module, the attribute abstract module is in communication connection with the weight module and the screening module respectively, and the database module is in communication connection with the attribute abstract module and the screening module respectively;
the attribute abstraction module divides the screening conditions input into the UI module into soft conditions and hard conditions which are respectively and correspondingly input into the weight module and the screening module, and abstracts each index in the industrial space database module in the database module into attributes;
and the weight module inputs the attributes obtained after the various indexes of the industrial space database and the enterprise database are abstracted into the weight module after the attribute abstraction module inputs the differentiated soft conditions, and the weight module assigns the dynamic weights of the corresponding attributes according to the soft conditions.
And the screening module screens the data input into the screening module by the database module according to the hard conditions after the hard conditions are input after the attribute abstraction module distinguishes the data, and screens out the set of the data meeting the conditions.
The invention provides an adaptation method of enterprise and industrial space, which is characterized by comprising the following steps:
s1, inputting requirements, and inputting screening conditions to the UI module by a user according to the required requirements;
s2, judging the requirement, wherein the attribute abstract module judges whether the input requirement condition is a hard condition, if so, the step enters S3, and if not, the step enters S4;
s3, screening, wherein the screening module screens a set meeting the conditions from the database module according to the hard conditions;
s4, a weight module calculates a dynamic weight set according to the soft condition;
s5, calculating the set obtained in the step S4 and the step S3 by a calculation module to obtain a set of industry space scores;
and S6, outputting, wherein the operation module selects the first n bits of the set of the industry space scores and outputs the n bits to the UI module.
Furthermore, the attribute abstraction module abstracts each index of the enterprise and the industry space into attributes.
Further, in step S3, the attribute abstraction module screens out the qualified data set from the database module according to the hard requirement input by the user.
Further, in step S4, the attribute abstraction module assigns the dynamic weight corresponding to each attribute in the abstracted attributes of each index of the enterprise and industrial space by using a weight normal distribution method according to the soft requirement input by the user, and calculates the value of the dynamic weight set corresponding to each attribute.
Further, in step S6, n is specified by the user.
The above adaptation method is specifically as follows.
The adaptation method can be formalized as an octave R ═ E, I, P, D, S, FC, SC, Ψ. Wherein E is a set of enterprises E ═ { E1, E2, …, en }, I is a set of industrial spaces I ═ { I1, I2, …, Im }, and P ═ P1, P2 …, Pn } refers to a set of various attributes of enterprises and industrial spaces; d ═ D1, D2, …, Dn } refers to the set of dynamic weights of each attribute in P, S ═ S1, S2, …, sn } refers to the single row n column matrix of static weights of each attribute in the intermediate result set.
The hard requirement FC input by the user is a mapping, and for any ei E, the FC is satisfied:
all non-empty Imidis corresponding to the ei form a set Imid; the soft demand SC input by the user is a mapping that satisfies SC: d → DS; the adaptation action Ψ is a mapping, Ψ:
ibest refers to the optimal industry space.
For convenience of mathematical calculation, a value of any element Pi in the set P may be represented as a vector Pi (ep1, ep2, …, epz), where ep1, ep2, …, epz represent all values or value intervals that may be a boolean variable, and if true, the value is 1, otherwise, the value is 0. From the practical significance, it can be known that, for the attribute Pi of any element Ij of the industrial space set, only one of all the elements ep1, ep2, … and epz is 1, and the rest values are 0.
The working flow of the adaptation method is as follows:
a) abstracting each index of an enterprise and an industrial space into an attribute pi;
b) screening out the subset meeting the conditions according to the hard requirement FC input by the user of the ei E of any enterprise
All ei-corresponding non-null Imidi constitute a set Imid.
c) According to the ei of any enterprise belonging to the soft demand SC input by the user of E, assigning the dynamic weight corresponding to each attribute in D by adopting a weight normal distribution method, and calculating a value matrix DS of a certain determined moment of a dynamic weight set D, wherein unaligned rows and columns are filled with 0 at the tail according to the maximum row and column length;
d) the optional element Iv is selected from the set Imid, and the attribute of Iv may form a vector Pv ═ (Pv1, Pv2 …, Pvn), and a value of optional attribute Pvq may be represented as Pvq ═ or (epv1, epv2, …, epvz). According to the practical meaning, only one of epv1, epv2, … and epvz is 1, the rest values are 0, and the subscript of an element which is not marked as 0 is x;
e) correspondingly taking the x-th row and x-th column element values of the vi-th row in the matrix DS to form an n-row single-column matrix ISx, and traversing Imid to obtain a set IS;
f) for IS, let S ISx get the set of industry space scores;
g) and selecting n top-ranked results to be output (n is specified by a user).
Compared with the prior art, the adaptive system has the beneficial effects that the adaptive system can meet the adaptation of enterprises and industrial spaces according to the input requirements of users. The problem of mismatch between enterprises and industrial spaces can be solved, and the method is simple, efficient, accurate and quick, and can meet individual requirements of different enterprises and parks.
Drawings
FIG. 1 is a block diagram of an adaptation system for enterprise and industrial space and a method thereof according to the present invention.
FIG. 2 is a flow chart of an adaptation system and an adaptation method thereof for enterprise and industrial space according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to achieve the above object, the technical solution of the present invention is as follows.
The invention provides an adaptation system of enterprise and industrial space, which is characterized by comprising a UI module, a screening system, an operation module and a database module, wherein the UI module is in communication connection with the screening system;
the UI module is a user interface, an interface for inputting screening conditions and an interface for displaying screening results for a user;
the screening system screens out a required data set according to the screening conditions input into the UI module by the user;
the operation module is used for operating the data screened out according to the screening system and transmitting the operated data to the UI module;
and the database module stores the required data into the database module and provides a set of data required by the screening system in cooperation with the screening system.
Furthermore, the database module comprises an industrial space database and an enterprise database.
Furthermore, the screening system comprises an attribute abstract module, a weight module and a screening module, wherein the UI module is in communication connection with the attribute abstract module, the attribute abstract module is in communication connection with the weight module and the screening module respectively, and the database module is in communication connection with the attribute abstract module and the screening module respectively;
the attribute abstraction module divides the screening conditions input into the UI module into soft conditions and hard conditions which are respectively and correspondingly input into the weight module and the screening module, and abstracts each index of an industrial space database and an enterprise database in the database module into attributes;
and the weight module inputs the attributes obtained after the various indexes of the industrial space database and the enterprise database are abstracted into the weight module after the attribute abstraction module inputs the differentiated soft conditions, and the weight module assigns the dynamic weights of the corresponding attributes according to the soft conditions.
And the screening module screens the data input into the screening module by the database module according to the hard conditions after the hard conditions are input after the attribute abstraction module distinguishes the data, and screens out the set of the data meeting the conditions.
The invention provides an adaptation method of enterprise and industrial space, which is characterized by comprising the following steps:
s1, inputting requirements, and inputting screening conditions to the UI module by a user according to the required requirements;
s2, judging the requirement, wherein the attribute abstract module judges whether the input requirement condition is a hard condition, if so, the step enters S3, and if not, the step enters S4;
s3, screening, wherein the screening module screens a set meeting the conditions from the database module according to the hard conditions;
s4, a weight module calculates a dynamic weight set according to the soft condition;
s5, calculating the set obtained in the step S4 and the step S3 by a calculation module to obtain a set of industry space scores;
and S6, outputting, wherein the operation module selects the first n bits of the set of the industry space scores and outputs the n bits to the UI module.
Furthermore, the attribute abstraction module abstracts each index of the enterprise and the industry space into attributes.
Further, in step S3, the attribute abstraction module screens out the qualified data set from the database module according to the hard requirement input by the user.
Further, in step S4, the attribute abstraction module assigns the dynamic weight corresponding to each attribute in the abstracted attributes of each index in the database module by using a weight normal distribution method according to the soft requirement input by the user, and calculates the value of the dynamic weight set corresponding to each attribute.
Further, in step S6, n is specified by the user.
The above adaptation method is specifically as follows.
The adaptation method can be formalized as an octave R ═ E, I, P, D, S, FC, SC, Ψ. Wherein E is a set of enterprises E ═ { E1, E2, …, en }, I is a set of industrial spaces I ═ { I1, I2, …, Im }, and P ═ P1, P2 …, Pn } refers to a set of various attributes of enterprises and industrial spaces; d ═ D1, D2, …, Dn } refers to the set of dynamic weights of each attribute in P, S ═ S1, S2, …, sn } refers to the single row n column matrix of static weights of each attribute in the intermediate result set.
The hard requirement FC input by the user is a mapping, and for any ei E, the FC is satisfied:
all non-empty Imidis corresponding to the ei form a set Imid; the soft demand SC input by the user is a mapping that satisfies SC: d → DS; the adaptation action Ψ is a mapping, Ψ:
ibest refers to the optimal industry space.
For convenience of mathematical calculation, a value of any element Pi in the set P may be represented as a vector Pi (ep1, ep2, …, epz), where ep1, ep2, …, epz represent all values or value intervals that may be a boolean variable, and if true, the value is 1, otherwise, the value is 0. From the practical significance, it can be known that, for the attribute Pi of any element Ij of the industrial space set, only one of all the elements ep1, ep2, … and epz is 1, and the rest values are 0.
The working flow of the adaptation method is as follows:
a) abstracting each index of an enterprise and an industrial space into an attribute pi;
b) screening out the subset meeting the conditions according to the hard requirement FC input by the user of the ei E of any enterprise
All ei-corresponding non-null Imidi constitute a set Imid.
c) According to the ei of any enterprise belonging to the soft demand SC input by the user of E, assigning the dynamic weight corresponding to each attribute in D by adopting a weight normal distribution method, and calculating a value matrix DS of a certain determined moment of a dynamic weight set D, wherein unaligned rows and columns are filled with 0 at the tail according to the maximum row and column length;
d) the optional element Iv is selected from the set Imid, and the attribute of Iv may form a vector Pv ═ (Pv1, Pv2 …, Pvn), and a value of optional attribute Pvq may be represented as Pvq ═ or (epv1, epv2, …, epvz). According to the practical meaning, only one of epv1, epv2, … and epvz is 1, the rest values are 0, and the subscript of an element which is not marked as 0 is x;
e) correspondingly taking the x-th row and x-th column element values of the vi-th row in the matrix DS to form an n-row single-column matrix ISx, and traversing Imid to obtain a set IS;
f) for IS, let S ISx get the set of industry space scores;
g) and selecting n top-ranked results to be output (n is specified by a user).
One specific embodiment is as follows:
the attribute set in the database module comprises an enterprise attribute set in an enterprise database and an industry space attribute set in an industry space database.
The enterprise attribute set comprises enterprise basic information, a project classification A, an industry classification B, enterprise strength C, project benefit D and spatial information E.
1) The enterprise basic information comprises enterprise names, enterprise registration places, enterprise legal person representatives, enterprise ownership (civil, national enterprise and foreign enterprise), main business range and enterprise lease conditions.
2) The project classification A comprises an A1 comprehensive headquarters, an A2 research and development headquarters, an A3 headquarters and development, an A4 research and development and an A5 production and manufacture.
3) Industry category B includes B1 strategy emerging industry, B2 advanced manufacturing industry and B3 traditional dominant industry; the B1 strategy emerging industries include new generation information technology (B11), high-end equipment manufacturing (B12), green low carbon (B13), biological medicine (B14), digital economy (B15), new materials (B16), and marine economy (B17); the advanced manufacturing industry of B2 comprises 5G (B21), novel display (B22), an integrated circuit (B23), a robot (B24), additive manufacturing (B25), graphene (B26), a new energy automobile (B27), aerospace equipment (B28), ocean engineering equipment (B29) and precise medical treatment (B210); b3 the traditional dominance industry includes Shenzhen underwear (B31), clock (B32), clothing (B33), jewelry (B34), leather (B35), glasses (B36), furniture (B37) and industrial design (B38)
4) Enterprise strength C includes C1 operation scale (output value), C2 growth capacity (annual income growth rate), and C3 technological innovation capacity; the C1 scale (yield) includes yields of 100-50 hundred million (C11), 50-10 million yuan (C12), 10-1 million (C13), 1-0.5 million yuan (C14), 0.5-0.3 million (C15), 0.3-0.1 million (C16), 1000-500 million (C17), and less than 500 million (C18); the C2 growth capacity (annual average income growth rate) comprises more than 100% (C21), 100% -50% (C22), between 50% -30% (C23), between 30% -20% (C24), between 20% -10% (C25), between 10% -5% (C26) and less than 5% (C27); the C3 technological innovation ability includes national high enterprise (C31), municipal high enterprise (C32), medium and small-sized enterprises (C33) and others (C34)
5) Project benefit D includes industry perspective D1, D2 competitiveness and D3 production value contribution (per square meter of unit building area per annual production value); industry prospects for D1 include a startup period (D11), a maturity period (D12), a maturity period (D13), a transformation period (D14), and a decline period (D15); d2 competitive capabilities include having core technology/market segment taps (D21), market segment taps (D22), having core technology/market segment top three (D23), market segment top three (D24), having core technology/market share smaller (D25), and market share smaller (D26); the contribution of D3 yield value (annual yield per square meter of unit building area) includes more than 18 ten thousand yuan (D31), 18 ten thousand yuan-12 ten thousand yuan (D32), 12 ten thousand yuan-8 ten thousand yuan (D33) and less than 8 ten thousand yuan (D34)
6) The spatial information E includes E1 rent price (monthly rent per unit building area), E2 building form, E3 building area, E4 administrative district requirement, E5 location requirement and E6 industry complement; the E1 rent price (monthly rent per unit building area) comprises more than 150 yuan (E11), 150 yuan-120 yuan (E12), 120 yuan-100 yuan (E13), 100 yuan-80 yuan (E14), 80 yuan-60 yuan (E15), 60 yuan-40 yuan (E16) and less than 40 yuan (E17); the E2 building form comprises a commercial office building (E21), an innovative industrial room (E22), an industrial room MO (E23) and an industrial room MI (E24); the building area of E3 includes 10000 square meters above (E31), 10000 square meters-5000 square meters (E32), 5000 square meters-2000 square meters (E33), 2000 square meters-1000 square meters (E34), 1000 square meters-500 square meters (E35), 500 square meters-200 square meters (E36) and less than 200 square meters (E37); the E4 administrative district requirements comprise a southern mountain area (E41), a Futian area (E42), a Rohu area (E11), a Baoan area (E43), a Dragon hillock area (E44), a Longhua area (E45), a bright area (E46), a terrace mountain area (E47), a salt pan area (E48) and a Roc area (E49); the E5 zone requirements comprise a central zone (E51), a business zone (E52), a science and education zone (E53), a high-new zone (E54), a city extension zone industrial complex (E55) and a suburban industrial park (E56); the E6 industrial accessories comprise public service accessories (E61) such as schools/kindergartens and the like, public technology accessories (E62) such as laboratories/detection centers/pilot plant workshops and the like, commercial and domestic accessories (E63) such as catering, shopping, entertainment and the like, urban traffic accessories (E64) of buses/subway stations within 500 meters, production logistics accessories (E65) such as warehousing/cargo transportation services and the like.
And secondly, the industry space attribute set comprises basic information, industry space information, an industry ecological environment and an industry admission policy.
1) The basic information comprises an industrial space name, a development operation main body, an industrial space address and a space lease condition.
2) The industrial space information includes E1 rent price, E2 building form, E3 building area (building area of unit available for rent) and E5 position.
3) The industrial ecological environment comprises E6 industrial matching service.
4) The industry access policy comprises an A project classification, a B enterprise classification, a C enterprise strength and a D project benefit.
(II) Algorithm
1. Macro definition
And defining an enterprise attribute matrix CP and an industry space attribute matrix SP according to the attribute set definition. Wherein:
CP＝{A1，A2，……A5，
B11，B12，……B17，
B21，B22，……B210，
B31，B32，……B38，
C11，C12，……C18，
C21，C22，……C27，
C31，C32，……C34，
D31，D32，……D34，
E11，E12，……E17，
E21，E22，……E24，
E31，E32，……E37，
E41，E42，……E49，
E51，E52，……E56，
E61，E62，……E65}
the system comprises five sub-matrixes of A (enterprise information), B (industry classification), C (enterprise strength), D (project benefit) and E (space requirement).
SP＝{A1，A2，……A5，
B11，B12，……B17，
B21，B22，……B210，
B31，B32，……B38，
C11，C12，……C18，
C21，C22，……C27，
C31，C32，……C34，
D31，D32，……D34，
E11，E12，……E17，
E21，E22，……E24，
E31，E32，……E37，
E41，E42，……E49，
E51，E52，……E56，
E61，E62，……E65}
The method comprises two sub-matrixes of industry Admittance (ABCD) and spatial attributes E.
According to the attribute set definition, a dynamic association weight matrix RWProcess and a static association matrix RWFinal are defined. Wherein:
RWprocess＝{ia1，ia2，……ia5，
ib11，ib12，……ib17，
ib21，ib22，……ib210，
ib31，ib32，……ib38，
ic11，ic12，……ic18，
ic21，ic22，……ic27，
ic31，ic32，……ic34，
id31，id32，……id34，
ie11，ie12，……ie17，
ie21，ie22，……ie24，
ie31，ie32，……ie37，
ie41，ie42，……ie49，
ie51，ie52，……ie56，
ie61，ie62，……ie65}
RWfinal＝{
iA,
iB1,iB2,iB3,
iC1,iC2,iC3,
iD3，
iE1,iE2,iE3,iE4,iE5,iE6}
algorithm
The enterprise searching space is approximately the same as the enterprise searching algorithm, firstly an initial set is screened out according to the hard requirement, and then the first three target sequences are screened out according to the soft requirement and the weight matrix to serve as the basis of expert review. The algorithm is as follows:
// Enterprise adaptive space algorithm
MSP [ ] ═ select (Enterprise, conditionnm, CP); preliminarily selecting a park sequence meeting the conditions according to the hard conditions of the enterprise side and the park side;
RWprocess (dynamic (conditioning n); determining an intermediate correlation weight matrix according to soft requirements;
score [ ] ═ call (MSP [ ], RWprocess, RWfinal); // utilizing intermediate correlation matrices
Calculating the final score of the park according to the attribute weights;
output (Score, 3); // output the three top ranked campus;
v/spatial Adaptation Enterprise Algorithm
MCP [ ] ═ select (indussspace, conditionnm, SP); preliminarily selecting an enterprise sequence meeting the conditions according to the hard conditions of the park side and the enterprise side;
RWprocess (dynamic (conditioning n); determining an intermediate correlation weight matrix according to soft requirements;
score [ ] ═ call (MCP [ ], RWprocess, RWfinal); calculating the final score of the enterprise by using the intermediate incidence matrix and each attribute weight;
output (Score, 3); // output top three enterprises.
Compared with the prior art, the adaptive system has the beneficial effects that the adaptive system can meet the adaptation of enterprises and industrial spaces according to the input requirements of users. The problem of mismatch between enterprises and industrial spaces can be solved, and the method is simple, efficient, accurate and quick, and can meet individual requirements of different enterprises and parks.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An adaptation system of enterprise and industrial space is characterized by comprising a UI module, a screening system, an operation module and a database module, wherein the UI module is in communication connection with the screening system;
the UI module is a user interface, an interface for inputting screening conditions and an interface for displaying screening results for a user;
the screening system screens out a required data set according to the screening conditions input into the UI module by the user;
the operation module is used for operating the data screened out according to the screening system and transmitting the operated data to the UI module;
and the database module stores the required data into the database module and provides a set of data required by the screening system in cooperation with the screening system.
2. An enterprise-to-industry space adaptation system as claimed in claim 1, wherein said database module comprises an industry space database and an enterprise database.
3. The system for adapting an enterprise space to an industrial space according to claim 2, wherein the screening system comprises an attribute abstraction module, a weight module and a screening module, the UI module is in communication with the attribute abstraction module, the attribute abstraction module is in communication with the weight module and the screening module, respectively, and the database module is in communication with the attribute abstraction module and the screening module, respectively;
the attribute abstraction module divides the screening conditions input into the UI module into soft conditions and hard conditions which are respectively and correspondingly input into the weight module and the screening module, and abstracts each index of an industrial space database and an enterprise database in the database module into attributes;
and the weight module inputs the attributes obtained after the various indexes of the industrial space database and the enterprise database are abstracted into the weight module after the attribute abstraction module inputs the differentiated soft conditions, and the weight module assigns the dynamic weights of the corresponding attributes according to the soft conditions.
And the screening module screens the data input into the screening module by the database module according to the hard conditions after the hard conditions are input after the attribute abstraction module distinguishes the data, and screens out the set of the data meeting the conditions.
4. An adaptation method of enterprise and industrial space based on any one of claims 1-3, characterized in that the steps of the adaptation method are as follows:
s1, inputting requirements, and inputting screening conditions to the UI module by a user according to the required requirements;
s2, judging the requirement, wherein the attribute abstract module judges whether the input requirement condition is a hard condition, if so, the step enters S3, and if not, the step enters S4;
s3, screening, wherein the screening module screens a set meeting the conditions from the database module according to the hard conditions;
s4, a weight module calculates a dynamic weight set according to the soft condition;
s5, calculating the set obtained in the step S4 and the step S3 by a calculation module to obtain a set of industry space scores;
and S6, outputting, wherein the operation module selects the first n bits of the set of the industry space scores and outputs the n bits to the UI module.
5. The method as claimed in claim 4, wherein the attribute abstraction module abstracts each index of the enterprise and the industrial space into attributes.
6. The method for adapting an enterprise and industrial space according to claim 4, wherein in step S3, the property abstraction module screens qualified data sets from the database module according to the hard requirements input by the user.
7. The method according to claim 4, wherein in step S4, the attribute abstraction module assigns the dynamic weight corresponding to each attribute in the abstracted attributes of each index in the database module by using a weight normal distribution method according to the soft requirement input by the user, and calculates the value of the dynamic weight set corresponding to each attribute.
8. The method as claimed in claim 4, wherein n is specified by the user in step S6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112749435A (en) * | 2021-01-13 | 2021-05-04 | 深圳国志智慧科技有限公司 | Matching method and device of park space carrier related elements, storage medium and electronic equipment |
| CN112749901A (en) * | 2021-01-13 | 2021-05-04 | 深圳国志智慧科技有限公司 | Industrial park space planning and layout method and device, storage medium and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108228821A (en) * | 2017-12-30 | 2018-06-29 | 北京航天智造科技发展有限公司 | A kind of target object preferred method and system based on skyline algorithms |
| CN109558429A (en) * | 2018-11-16 | 2019-04-02 | 广东百城人才网络股份有限公司 | The two-way recommendation method and system of talent service based on internet big data |
| CN110110994A (en) * | 2019-05-06 | 2019-08-09 | 重庆大学 | Accurate trade and investment promotion business investment intention assessment system and method based on big data |
-
2019
- 2019-09-24 CN CN201910902738.XA patent/CN110704149A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108228821A (en) * | 2017-12-30 | 2018-06-29 | 北京航天智造科技发展有限公司 | A kind of target object preferred method and system based on skyline algorithms |
| CN109558429A (en) * | 2018-11-16 | 2019-04-02 | 广东百城人才网络股份有限公司 | The two-way recommendation method and system of talent service based on internet big data |
| CN110110994A (en) * | 2019-05-06 | 2019-08-09 | 重庆大学 | Accurate trade and investment promotion business investment intention assessment system and method based on big data |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112749435A (en) * | 2021-01-13 | 2021-05-04 | 深圳国志智慧科技有限公司 | Matching method and device of park space carrier related elements, storage medium and electronic equipment |
| CN112749901A (en) * | 2021-01-13 | 2021-05-04 | 深圳国志智慧科技有限公司 | Industrial park space planning and layout method and device, storage medium and electronic equipment |
| CN112749901B (en) * | 2021-01-13 | 2022-03-29 | 深圳市城市产业发展集团有限公司 | Industrial park space planning and layout method and device, storage medium and electronic equipment |
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