{"title":"模糊方法在实际应用中的新前景","authors":"E. Isaeva, Á. Rocha","doi":"10.3233/JIFS-189896","DOIUrl":null,"url":null,"abstract":"In the current era of pervasive digitalization, the 7 demand for automation of nearly all spheres of human 8 life has become unprecedentedly high. Automation of 9 routine processes make it possible to achieve higher 10 performance, lower costs and effort on their manual 11 implementation, along with a more viable realloca12 tion of resources and labor contribution. To achieve 13 automation in many aspects of human life, it is nec14 essary to deal with real information. In terms of 15 automated information processing, “information is 16 everything which has influence on the assessment of 17 uncertainty by an analyst. This uncertainty can be 18 of different types: data uncertainty, nondeterminis19 tic quantities, model uncertainty, and uncertainty of 20 a priori information. Measurement results and obser21 vational data are special forms of information. Such 22 data are frequently not precise numbers but more or 23 less non-precise, also called fuzzy” [3]. Operating 24 such kind of imprecise and noisy data requires the 25 establishment of a flexible and adaptive approach 26 to information processing and the development of 27 methodologies to enhance the ability to manage com28 plicated optimization and decision making aspects 29 involving non-probabilistic uncertainty with the rea30 son to understand, develop, and practice the fuzzy 31 technologies to be used in fields such as economic, 32 engineering, management, and societal problems [1]. 33 The idea of fuzziness in the field of mathemat34 ics, Information technologies, and engineering dates 35","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"29 1","pages":"1-4"},"PeriodicalIF":1.5000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New vistas of fuzzy methods in real life application\",\"authors\":\"E. Isaeva, Á. Rocha\",\"doi\":\"10.3233/JIFS-189896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the current era of pervasive digitalization, the 7 demand for automation of nearly all spheres of human 8 life has become unprecedentedly high. Automation of 9 routine processes make it possible to achieve higher 10 performance, lower costs and effort on their manual 11 implementation, along with a more viable realloca12 tion of resources and labor contribution. To achieve 13 automation in many aspects of human life, it is nec14 essary to deal with real information. In terms of 15 automated information processing, “information is 16 everything which has influence on the assessment of 17 uncertainty by an analyst. This uncertainty can be 18 of different types: data uncertainty, nondeterminis19 tic quantities, model uncertainty, and uncertainty of 20 a priori information. Measurement results and obser21 vational data are special forms of information. Such 22 data are frequently not precise numbers but more or 23 less non-precise, also called fuzzy” [3]. Operating 24 such kind of imprecise and noisy data requires the 25 establishment of a flexible and adaptive approach 26 to information processing and the development of 27 methodologies to enhance the ability to manage com28 plicated optimization and decision making aspects 29 involving non-probabilistic uncertainty with the rea30 son to understand, develop, and practice the fuzzy 31 technologies to be used in fields such as economic, 32 engineering, management, and societal problems [1]. 33 The idea of fuzziness in the field of mathemat34 ics, Information technologies, and engineering dates 35\",\"PeriodicalId\":44705,\"journal\":{\"name\":\"International Journal of Fuzzy Logic and Intelligent Systems\",\"volume\":\"29 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2021-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Fuzzy Logic and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/JIFS-189896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fuzzy Logic and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JIFS-189896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
New vistas of fuzzy methods in real life application
In the current era of pervasive digitalization, the 7 demand for automation of nearly all spheres of human 8 life has become unprecedentedly high. Automation of 9 routine processes make it possible to achieve higher 10 performance, lower costs and effort on their manual 11 implementation, along with a more viable realloca12 tion of resources and labor contribution. To achieve 13 automation in many aspects of human life, it is nec14 essary to deal with real information. In terms of 15 automated information processing, “information is 16 everything which has influence on the assessment of 17 uncertainty by an analyst. This uncertainty can be 18 of different types: data uncertainty, nondeterminis19 tic quantities, model uncertainty, and uncertainty of 20 a priori information. Measurement results and obser21 vational data are special forms of information. Such 22 data are frequently not precise numbers but more or 23 less non-precise, also called fuzzy” [3]. Operating 24 such kind of imprecise and noisy data requires the 25 establishment of a flexible and adaptive approach 26 to information processing and the development of 27 methodologies to enhance the ability to manage com28 plicated optimization and decision making aspects 29 involving non-probabilistic uncertainty with the rea30 son to understand, develop, and practice the fuzzy 31 technologies to be used in fields such as economic, 32 engineering, management, and societal problems [1]. 33 The idea of fuzziness in the field of mathemat34 ics, Information technologies, and engineering dates 35
期刊介绍:
The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.