| 書目名稱 | Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic |
| 編輯 | Patricia Melin,Gabriela E. Martinez |
| 視頻video | http://file.papertrans.cn/320/319849/319849.mp4 |
| 概述 | Presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic.Demonstrates implementation in a modular neural network applie |
| 叢書名稱 | SpringerBriefs in Applied Sciences and Technology |
| 圖書封面 |  |
| 描述 | This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a wide variety of decision-making applications. The authors also demonstrate that the extended aggregation operator offers better performance than other traditional or extended operators. The book is a valuables reference resource for students and researchers working on theory and applications of fuzzy logic in various areas of application where decision making is performed under high levels of uncertainty, such as pattern recognition, time series prediction, intelligent control and manufacturing. |
| 出版日期 | Book 2020 |
| 關鍵詞 | Computational Intelligence; Sugeno Integral; Fuzzy Measures; Fuzzy Logic; Generalized Interval Type-2 Fu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-16416-4 |
| isbn_softcover | 978-3-030-16415-7 |
| isbn_ebook | 978-3-030-16416-4Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 |
|Archiver|手機版|小黑屋|
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