{"title":"基于加权时变多准则和相似度评价法的集群产业创新机制研究","authors":"Feng Yanhong, Wang Zhongfu","doi":"10.1504/ijcat.2019.10023601","DOIUrl":null,"url":null,"abstract":"In order to enhance the effectiveness of the cooperation mechanism of cluster industry innovation of booming megalopolises, this paper puts forward a research method based on weight time-varying multi-criteria and similarity evaluation method for the cooperation mechanism of cluster industry innovation of booming megalopolises. Firstly, under the background of 'internet+', it researches the indicator system establishment of the cluster industry innovation platform of booming megalopolises, establishes the comprehensive evaluation system with five first-level indicators in scientific research innovation capability, intelligent production and service support capability, information transmission capability, infrastructure and environment support capability and platform system establishment capability. Secondly, it puts forward the weight time-varying multi-criteria and similarity evaluation method to enhance the industry innovation cooperation mechanism recommendation precision, combined with the weight time-varying process, deeply considers the criteria weight of different times periods to enhance the decision scientificity of the industry innovation cooperation mechanism; finally, it verifies the effectiveness of algorithm through empirical analysis.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"224 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovation mechanism of cluster industry based on weighted time-varying multi-criteria and similarity evaluation method\",\"authors\":\"Feng Yanhong, Wang Zhongfu\",\"doi\":\"10.1504/ijcat.2019.10023601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to enhance the effectiveness of the cooperation mechanism of cluster industry innovation of booming megalopolises, this paper puts forward a research method based on weight time-varying multi-criteria and similarity evaluation method for the cooperation mechanism of cluster industry innovation of booming megalopolises. Firstly, under the background of 'internet+', it researches the indicator system establishment of the cluster industry innovation platform of booming megalopolises, establishes the comprehensive evaluation system with five first-level indicators in scientific research innovation capability, intelligent production and service support capability, information transmission capability, infrastructure and environment support capability and platform system establishment capability. Secondly, it puts forward the weight time-varying multi-criteria and similarity evaluation method to enhance the industry innovation cooperation mechanism recommendation precision, combined with the weight time-varying process, deeply considers the criteria weight of different times periods to enhance the decision scientificity of the industry innovation cooperation mechanism; finally, it verifies the effectiveness of algorithm through empirical analysis.\",\"PeriodicalId\":46624,\"journal\":{\"name\":\"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY\",\"volume\":\"224 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2019-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijcat.2019.10023601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcat.2019.10023601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Innovation mechanism of cluster industry based on weighted time-varying multi-criteria and similarity evaluation method
In order to enhance the effectiveness of the cooperation mechanism of cluster industry innovation of booming megalopolises, this paper puts forward a research method based on weight time-varying multi-criteria and similarity evaluation method for the cooperation mechanism of cluster industry innovation of booming megalopolises. Firstly, under the background of 'internet+', it researches the indicator system establishment of the cluster industry innovation platform of booming megalopolises, establishes the comprehensive evaluation system with five first-level indicators in scientific research innovation capability, intelligent production and service support capability, information transmission capability, infrastructure and environment support capability and platform system establishment capability. Secondly, it puts forward the weight time-varying multi-criteria and similarity evaluation method to enhance the industry innovation cooperation mechanism recommendation precision, combined with the weight time-varying process, deeply considers the criteria weight of different times periods to enhance the decision scientificity of the industry innovation cooperation mechanism; finally, it verifies the effectiveness of algorithm through empirical analysis.
期刊介绍:
IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems