{"title":"基于博弈均衡决策方法和大数据的创业驱动力评价模型","authors":"Su Chen, Wen-yen Shen","doi":"10.1145/3495018.3502488","DOIUrl":null,"url":null,"abstract":"In order to quantitatively analyze the impact of innovation and entrepreneurship cognition on entrepreneurial driving force, this paper puts forward an evaluation model of innovation cognition on entrepreneurial driving force based on game equilibrium decision-making and big data method, and carries out empirical analysis with statistical data, constructs a statistical information analysis model of innovation and entrepreneurship cognition on entrepreneurial driving force, and evaluates the mining results of information according to the impact of innovation and entrepreneurship cognition on entrepreneurial driving force. Cluster the evaluation data of the impact of innovation and entrepreneurship cognition on entrepreneurial driving force, and establish a game model. Quantitative game evaluation of the influence of innovative cognition on entrepreneurial driving force and the explanatory variable and control variable models are constructed. The impact of innovation cognition on entrepreneurial driving force is optimized, and the test statistics are established to test and analyze the effectiveness of the impact evaluation. Through experiments, it can be found that this method has good reliability and adaptability in evaluating the impact of innovation cognition on entrepreneurial driving force, and can improve the evaluation level.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An evaluation model for the entrepreneurial driving force based on game equilibrium decision-making method and big data\",\"authors\":\"Su Chen, Wen-yen Shen\",\"doi\":\"10.1145/3495018.3502488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to quantitatively analyze the impact of innovation and entrepreneurship cognition on entrepreneurial driving force, this paper puts forward an evaluation model of innovation cognition on entrepreneurial driving force based on game equilibrium decision-making and big data method, and carries out empirical analysis with statistical data, constructs a statistical information analysis model of innovation and entrepreneurship cognition on entrepreneurial driving force, and evaluates the mining results of information according to the impact of innovation and entrepreneurship cognition on entrepreneurial driving force. Cluster the evaluation data of the impact of innovation and entrepreneurship cognition on entrepreneurial driving force, and establish a game model. Quantitative game evaluation of the influence of innovative cognition on entrepreneurial driving force and the explanatory variable and control variable models are constructed. The impact of innovation cognition on entrepreneurial driving force is optimized, and the test statistics are established to test and analyze the effectiveness of the impact evaluation. Through experiments, it can be found that this method has good reliability and adaptability in evaluating the impact of innovation cognition on entrepreneurial driving force, and can improve the evaluation level.\",\"PeriodicalId\":6873,\"journal\":{\"name\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture\",\"volume\":\"9 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3495018.3502488\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3495018.3502488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An evaluation model for the entrepreneurial driving force based on game equilibrium decision-making method and big data
In order to quantitatively analyze the impact of innovation and entrepreneurship cognition on entrepreneurial driving force, this paper puts forward an evaluation model of innovation cognition on entrepreneurial driving force based on game equilibrium decision-making and big data method, and carries out empirical analysis with statistical data, constructs a statistical information analysis model of innovation and entrepreneurship cognition on entrepreneurial driving force, and evaluates the mining results of information according to the impact of innovation and entrepreneurship cognition on entrepreneurial driving force. Cluster the evaluation data of the impact of innovation and entrepreneurship cognition on entrepreneurial driving force, and establish a game model. Quantitative game evaluation of the influence of innovative cognition on entrepreneurial driving force and the explanatory variable and control variable models are constructed. The impact of innovation cognition on entrepreneurial driving force is optimized, and the test statistics are established to test and analyze the effectiveness of the impact evaluation. Through experiments, it can be found that this method has good reliability and adaptability in evaluating the impact of innovation cognition on entrepreneurial driving force, and can improve the evaluation level.