CN107274061A - A kind of smart city evaluation method based on entropy assessment - Google Patents
A kind of smart city evaluation method based on entropy assessment Download PDFInfo
- Publication number
- CN107274061A CN107274061A CN201710330175.2A CN201710330175A CN107274061A CN 107274061 A CN107274061 A CN 107274061A CN 201710330175 A CN201710330175 A CN 201710330175A CN 107274061 A CN107274061 A CN 107274061A
- Authority
- CN
- China
- Prior art keywords
- item
- index item
- smart city
- index
- entropy
- 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
-
- 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
- G06Q50/26—Government or public services
Abstract
Field, more particularly to a kind of smart city evaluation method based on entropy assessment are evaluated the invention belongs to smart city.The present invention is analyzed by the indicator sub-item data to each index item, build evaluation model, in the way of quantizating index and entropy weight combination, using quantization weight of the entropy weight as smart city evaluation index, wisdom degree to smart city makes accurate analysis, avoid the influence of artificial subjective factor so that evaluation result has more objectivity and convincingness, substantially increase the objectivity and convincingness of smart city evaluation result.The major influence factors that the present invention can analyze the overall ranking for the wisdom degree for obtaining each city and influence each city intelligent to develop, so that the wisdomization for each city is promoted and development provides the guidance and reference of science.
Description
Technical field
Field, more particularly to a kind of smart city evaluation method based on entropy assessment are evaluated the invention belongs to smart city.
Background technology
Smart city is the items for being sensed with information and communication technology (ICT) means, analyzing, integrating city operations core system
Key message, so as to make intelligence to the various demands including the people's livelihood, environmental protection, public safety, urban service, industry and commerce activity
Can response.At present, China has disclosed three batches of smart city pilots, altogether 290 cities.And by June, 2016, China
95% Vico-provincial Cities, 76% prefecture-level city, total over 500 cities, in the government work report or " 13 "
Clearly proposed in planning, or building smart city.
With the continuous expansion of smart city scale, how effective evaluation various regions smart city Effect on construction and level, with
It is best understood from the current state of development in China smart city, it is to avoid the blindness of urban construction, is future science, reasonably makes
Determine smart city development plan and policy provides theoretical foundation, it appears be particularly important.At present, some existing smart cities are evaluated
Method, is all based on greatly the fuzzy evaluation of qualitative index or the artificial subjective assessment based on some construction achievements, such as fuzzy evaluation
Method, expert graded etc., the data analysis that the wisdom degree to smart city does not quantify, cause analysis to seem weak, lack
The convincingness of few science.Therefore the smart city evaluation method for proposing a kind of more objectivity and convincingness is needed badly.
The content of the invention
There is provided a kind of smart city evaluation side based on entropy assessment in order to overcome the above-mentioned deficiencies of the prior art by the present invention
Method, this method is made that careful analysis to the wisdom degree of smart city, while the influence of artificial subjective factor is avoided,
So that evaluation result has more objectivity and convincingness.
To achieve the above object, present invention employs following technical measures：
A kind of smart city evaluation method based on entropy assessment includes following operating procedure：
S1, several smart city evaluation indexes according to combing, gather each index item IiIndicator sub-item data
Ii,j, wherein, i is index item, and j is indicator sub-item；
S2, to the indicator sub-item data Ii,jIt is standardized, obtains standardized data Yi,j；
S3, with entropy assessment to the standardized data Yi,jCalculated, obtain each index item IiEntropy Hi, foundation
Entropy Hi, calculate and obtain each index item IiEntropy weight Wi；
S4, determine each index item IiIdeal solution and minus ideal result, calculate each index item IiArrive respectively ideal solution,
The distance of minus ideal result, so as to draw each index item IiApproach degree Ci；
S5, using composite thresholds method set threshold k, by each index item IiApproach degree CiCarried out respectively with threshold k pair
Than if approach degree CiMore than or equal to threshold k, then retain the related data of this index item, otherwise, give up the dependency number of this index item
According to；To N number of index item of reservation, according to approach degree CiAscending order order obtains sequence Cp=P, P=1,2 ..., N；
S6, utilize smart city index weighting evaluation model Z=Ni×Wi, obtain the overall merit fraction of each smart city.
It is preferred that, usage frequency analytic approach combs out several smart city evaluation indexes before carrying out step S1.
It is preferred that, step S2 concrete operation step includes：Using dimensionless formula to the indicator sub-item data Ii,jEnter
Row standardization, obtains standardized data
It is preferred that, step S3 concrete operation step includes：With entropy assessment to the standardized data Yi,jCounted
Calculate, obtain each index item IiEntropyAccording to entropy Hi, calculate and obtain each index
Item IiEntropy weightWherein, i=1,2 ..., n；Wherein,For j index included by i-th of index item
The data value sum of subitem,The ratio of the index item is occupied for indicator sub-item data in i-th of index item, n is selection
Index item quantity.
Further, step S4 concrete operation step includes：According to the standardization feelings of the indicator sub-item data of each index item
Condition, with similarity to ideal solution technology, determines each index item IiIdeal solutionAnd minus ideal resultUtilize Europe
Formula range formula, obtains each index item IiTo ideal solutionDistance, be
Each index item IiTo minus ideal resultDistance, beEach is calculated to refer to
Mark item IiApproach degree Ci=D-, i/(D-, i+D+,i)。
Further, the threshold k is not less than 1/n, wherein, n is the index item quantity chosen.
The beneficial effects of the present invention are：
1), the present invention is analyzed by the indicator sub-item data to each index item, builds evaluation model, to quantify to refer to
The mode that mark and entropy weight are combined, using quantization weight of the entropy weight as smart city evaluation index, to the wisdom of smart city
Degree makes accurate analysis, it is to avoid the influence of artificial subjective factor so that evaluation result has more objectivity and convincingness, greatly
The big objectivity and convincingness for improving smart city evaluation result.
2), the indicator sub-item data are standardized, to eliminate the dimension impact of indicator sub-item data；With
Similarity to ideal solution technology, the indicator sub-item data to each index item are effectively analyzed, can be gone out with decision-making each index item with
The degree of correlation of smart city appraisement system, strong data supporting and proof are provided for follow-up threshold value screening.
3) threshold value, is set using composite thresholds method, the approach degree of each index item is contrasted respectively with threshold value, if patch
Recency is more than or equal to threshold value, then retains the related data of this index item, otherwise, give up the related data of this index item, made with approach degree
For threshold value screening criteria, the less index item of or correlation degree unrelated with appraisement system is greatly reduced, computing effect is effectively increased
The accuracy of rate and evaluation result；The threshold value is not less than 1/n, and being effectively guaranteed the index selected can mutually agree with appraisement system.
Brief description of the drawings
Fig. 1 is workflow diagram of the invention；
Fig. 2 is calculating process flow chart of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Using DDD analysis method of the prior art, synthesis has combed out several smart city evaluation indexes, and each evaluate refers to
Mark includes several index item Ii, evaluate and refer to according to the smart city combed, gather each index item IiIndicator sub-item data Ii,j；
According to the smart city evaluation index listed by table one, collection respectively needs each of the multiple cities evaluated to refer to
Mark item IiIndicator sub-item data Ii,j, the present embodiment using the Hefei in Anhui Province, Ma'an Mountain, this three ground Urban Data of Wuhu as
Example, data acquisition results are as follows：
Table one：
As shown in Figure 1, 2, in view of the unit disunity of each indicator sub-item initial data of collection, first to the index point of collection
Item data Ii,jEnter standardization, to eliminate dimension impact, obtain standardized data
With entropy assessment to the standardized data Yi,jCalculated, obtain each index item IiEntropyAccording to entropy Hi, calculate and obtain each index item IiEntropy weightIts
In, i=1,2 ..., n；Wherein,For the data value sum of j indicator sub-item included by i-th of index item,
The ratio of the index item is occupied for indicator sub-item data in i-th of index item, n is the index item quantity chosen.
According to the Standardization of the indicator sub-item data of each index item, with similarity to ideal solution technology, each is determined
Index item IiIdeal solutionAnd minus ideal resultUsing Euclidean distance formula, each index item I is obtainedi
To ideal solutionDistance, beEach index item IiTo minus ideal resultDistance, beCalculate each index item IiApproach degree Ci=
D-, i/(D-, i+D+,i), with determine each index item smart city evaluate in influence degree, its result of calculation such as table two (1),
(2), shown in (3)；Similarity to ideal solution technology, is a kind of Multiobjective Decision Making Method, and the basic ideas of its method are to define decision-making to ask
The ideal solution and minus ideal result of topic, a scheme is then found in feasible program, makes it away from the closest of ideal solution, and away from
The distance of minus ideal result is farthest.
Table two (1)
Table two (2)
Table two (3)
Threshold k is set using composite thresholds method, specifically, threshold k is set to 1/5=0.2, by each index item IiPatch
Recency CiContrasted respectively with threshold k, if approach degree CiMore than or equal to threshold k, then retain the related data of this index item, and
To N number of index item of reservation, according to approach degree CiAscending order order obtains sequence Cp=P, P=1,2 ..., otherwise N, gives up
The related data of this index item；The quantification treatment of each Index Influence degree is realized, in view of the index item of this screening is less, it is pasted
Recency is higher, therefore directly assigns quantized value according to the size of approach degree；
Finally by quantization index value NiWith corresponding entropy weight, smart city weighting evaluation model Z=N is updated toi×Wi,
The overall merit score value of the wisdom degree in each city can be obtained, concrete outcome is as shown in Table 3：
Table three：
Pass through above-mentioned analysis, it is known that：1) in general, the smart city overall merit in Hefei point highest, is 3.08
Point, i.e. its smart city construction is better than Wuhu and Ma'an Mountain；2) from the point of view of the reaction of the approach degree of each index, referred to Section 3
The ecological livable higher with smart city compatible degree of city is marked, i.e. the smart city construction in these three cities is as weight
Binding site is wanted to reflect the wisdom level in city.In addition, the approach degree of its construction level in each city and each index is slightly poor
It is different, show each city having differences property in the construction of smart city, specifically can binding number according to this and actual conditions are specifically answered
To nowadays problems faced and following direction for urban development of planning.
To sum up, this smart city evaluation method is according to entropy assessment and threshold value screening method, with reference to the output of weighting evaluation model
As a result, the main influence that the overall ranking for the wisdom degree for obtaining each city can be analyzed and influence each city intelligent to develop
Factor, so that the wisdomization for each city is promoted and development provides the guidance and reference of science.
Claims (6)
1. a kind of smart city evaluation method based on entropy assessment, it is characterised in that including following operating procedure：
S1, several smart city evaluation indexes according to combing, gather each index item IiIndicator sub-item data Ii,j, its
In, i is index item, and j is indicator sub-item；
S2, to the indicator sub-item data Ii,jIt is standardized, obtains standardized data Yi,j；
S3, with entropy assessment to the standardized data Yi,jCalculated, obtain each index item IiEntropy Hi, according to entropy
Hi, calculate and obtain each index item IiEntropy weight Wi；
S4, determine each index item IiIdeal solution and minus ideal result, calculate each index item IiIdeal solution, negative reason are arrived respectively
The distance of solution is thought, so as to draw each index item IiApproach degree Ci；
S5, using composite thresholds method set threshold k, by each index item IiApproach degree CiContrasted respectively with threshold k, if
Approach degree CiMore than or equal to threshold k, then retain the related data of this index item, otherwise, give up the related data of this index item；It is right
The N number of index item retained, according to approach degree CiAscending order order obtains sequence Cp=P, P=1,2 ..., N；
S6, utilize smart city index weighting evaluation model Z=Ni×Wi, obtain the overall merit fraction of each smart city.
2. a kind of smart city evaluation method based on entropy assessment as claimed in claim 1, it is characterised in that：Carry out step S1
Usage frequency analytic approach combs out several smart city evaluation indexes before.
3. a kind of smart city evaluation method based on entropy assessment as claimed in claim 2, it is characterised in that step S2 tool
Body operating procedure includes：Using dimensionless formula to the indicator sub-item data Ii,jIt is standardized, obtains normalized number
According to
4. a kind of smart city evaluation method based on entropy assessment as claimed in claim 3, it is characterised in that step S3 tool
Body operating procedure includes：With entropy assessment to the standardized data Yi,jCalculated, obtain each index item IiEntropyAccording to entropy Hi, calculate and obtain each index item IiEntropy weightIts
In, i=1,2 ..., n；Wherein,For the data value sum of j indicator sub-item included by i-th of index item,
The ratio of the index item is occupied for indicator sub-item data in i-th of index item, n is the index item quantity chosen.
5. a kind of smart city evaluation method based on entropy assessment as claimed in claim 4, it is characterised in that step S4 tool
Body operating procedure includes：According to the Standardization of the indicator sub-item data of each index item, with similarity to ideal solution technology, really
Fixed each index item IiIdeal solutionAnd minus ideal resultUsing Euclidean distance formula, obtain each and refer to
Mark item IiTo ideal solutionDistance, beEach index item IiTo negative
Ideal solutionDistance, beCalculate each index item IiApproach degree
Ci=D-, i/(D-, i+D+,i)。
6. a kind of smart city evaluation method based on entropy assessment as claimed in claim 1, it is characterised in that：The threshold k
Not less than 1/n, wherein, n is the index item quantity chosen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710330175.2A CN107274061A (en) | 2017-05-11 | 2017-05-11 | A kind of smart city evaluation method based on entropy assessment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710330175.2A CN107274061A (en) | 2017-05-11 | 2017-05-11 | A kind of smart city evaluation method based on entropy assessment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107274061A true CN107274061A (en) | 2017-10-20 |
Family
ID=60074211
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710330175.2A Pending CN107274061A (en) | 2017-05-11 | 2017-05-11 | A kind of smart city evaluation method based on entropy assessment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107274061A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978363A (en) * | 2019-03-20 | 2019-07-05 | 中国建筑第五工程局有限公司 | A kind of evaluation method that wisdom is built |
| CN110046812A (en) * | 2019-03-29 | 2019-07-23 | 湖北省标准化与质量研究院(湖北Wto/Tbt通报咨询中心) | The integrated evaluating method of city safety development level |
| CN113393076A (en) * | 2021-04-16 | 2021-09-14 | 中北大学 | AHP-based construction method of novel smart city evaluation index cutting model |
| CN113505999A (en) * | 2021-07-15 | 2021-10-15 | 中国科学院生态环境研究中心 | Index calculation method applied to urban space quality assessment |
| CN115456343A (en) * | 2022-08-11 | 2022-12-09 | 中国电子科技集团公司第二十八研究所 | Intelligent airport evaluation index system construction and evaluation method |
-
2017
- 2017-05-11 CN CN201710330175.2A patent/CN107274061A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978363A (en) * | 2019-03-20 | 2019-07-05 | 中国建筑第五工程局有限公司 | A kind of evaluation method that wisdom is built |
| CN110046812A (en) * | 2019-03-29 | 2019-07-23 | 湖北省标准化与质量研究院(湖北Wto/Tbt通报咨询中心) | The integrated evaluating method of city safety development level |
| CN113393076A (en) * | 2021-04-16 | 2021-09-14 | 中北大学 | AHP-based construction method of novel smart city evaluation index cutting model |
| CN113505999A (en) * | 2021-07-15 | 2021-10-15 | 中国科学院生态环境研究中心 | Index calculation method applied to urban space quality assessment |
| CN115456343A (en) * | 2022-08-11 | 2022-12-09 | 中国电子科技集团公司第二十八研究所 | Intelligent airport evaluation index system construction and evaluation method |
| CN115456343B (en) * | 2022-08-11 | 2023-11-10 | 中国电子科技集团公司第二十八研究所 | Intelligent airport evaluation index system construction and evaluation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107274061A (en) | A kind of smart city evaluation method based on entropy assessment | |
| CN103235877B (en) | Robot control software's module partition method | |
| CN106096810B (en) | Method and system for planning based on power distribution network operation data Yu geographical topology information | |
| CN106355334A (en) | Farmland construction area determining method | |
| CN102034214A (en) | Health evaluation method for eutrophic lakes | |
| CN106022509A (en) | Power distribution network space load prediction method taking region and load property dual differences into consideration | |
| CN104318482A (en) | Comprehensive assessment system and method of smart distribution network | |
| CN107909208A (en) | Damage method drops in a kind of taiwan area distribution | |
| CN108428017A (en) | Wind power interval prediction method based on core extreme learning machine quantile estimate | |
| CN104376384A (en) | Typhoon day maximum daily load prediction system based on power big data analysis | |
| CN108388957A (en) | A kind of middle and small river Flood Forecasting Method and its forecast system based on multiple features fusion technology | |
| CN114429053B (en) | Basin scale WEFE system adaptability simulation optimization method | |
| CN106056235A (en) | Power transmission grid efficiency and benefit detection method based on Klee method and matter element extension model | |
| CN107038503A (en) | A kind of Demand Forecast method and system of shared equipment | |
| CN110119888A (en) | A kind of active gridding planing method based on distributed generation resource access | |
| CN103885867B (en) | Online evaluation method of performance of analog circuit | |
| CN113822770A (en) | Farmland construction area intelligent demarcation method and system | |
| CN107292489A (en) | A kind of dispatching of power netwoks runs lean evaluation system | |
| CN115841225A (en) | Road maintenance priority ranking method in road network | |
| CN108989092A (en) | A kind of wireless network predicting method, electronic equipment and storage medium | |
| Wang et al. | Roof pressure prediction in coal mine based on grey neural network | |
| CN109754152A (en) | Same period line loss end achievement evaluation method based on Extension AHP | |
| CN116109212B (en) | Airport operation efficiency evaluation index design and monitoring method | |
| CN106960098A (en) | It is a kind of with method of the mathematical modeling to architectural design comfortableness overall merit | |
| CN111160719A (en) | Two-network fused multi-index evaluation method |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171020 |
|
| RJ01 | Rejection of invention patent application after publication |