{"title":"因子空间的基础","authors":"Hongxing Li, C. L. P. Chen, Han-Pang Huang","doi":"10.1201/9781420057997.CH12","DOIUrl":null,"url":null,"abstract":"The original definition of “factor spaces” was proposed by Peizhuang Wang [l]. He used factor spaces to explain the source of randomness and the essence of probability laws. In 1982, he gave an axiomatic definition of factor spaces [2]. Since then he has applied factor spaces to the study of artificial intelligence [3-51. Several applications in the area of fuzzy information processing have been discussed [6]. This chapter provides an introduction to the basic concepts and methods of applications of factor spaces.","PeriodicalId":239984,"journal":{"name":"Fuzzy Neural Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Basics of Factor Spaces\",\"authors\":\"Hongxing Li, C. L. P. Chen, Han-Pang Huang\",\"doi\":\"10.1201/9781420057997.CH12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The original definition of “factor spaces” was proposed by Peizhuang Wang [l]. He used factor spaces to explain the source of randomness and the essence of probability laws. In 1982, he gave an axiomatic definition of factor spaces [2]. Since then he has applied factor spaces to the study of artificial intelligence [3-51. Several applications in the area of fuzzy information processing have been discussed [6]. This chapter provides an introduction to the basic concepts and methods of applications of factor spaces.\",\"PeriodicalId\":239984,\"journal\":{\"name\":\"Fuzzy Neural Intelligent Systems\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fuzzy Neural Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9781420057997.CH12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Neural Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781420057997.CH12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The original definition of “factor spaces” was proposed by Peizhuang Wang [l]. He used factor spaces to explain the source of randomness and the essence of probability laws. In 1982, he gave an axiomatic definition of factor spaces [2]. Since then he has applied factor spaces to the study of artificial intelligence [3-51. Several applications in the area of fuzzy information processing have been discussed [6]. This chapter provides an introduction to the basic concepts and methods of applications of factor spaces.
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