| 书目名称 | Classification and Modeling with Linguistic Information Granules |
| 副标题 | Advanced Approaches |
| 编辑 | Hisao Ishibuchi,Tomoharu Nakashima,Manabu Nii |
| 视频video | |
| 概述 | Clear illustration how fuzzy logic and neural networks are utilized for extracting linguistic knowledge.Many figures and simulation results.Reference for researchers and practitioners in data mining, |
| 丛书名称 | Advanced Information Processing |
| 图书封面 |  |
| 描述 | Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili |
| 出版日期 | Book 2005 |
| 关键词 | algorithms; computational intelligence; data mining; fuzzy logic; genetic algorithms; linguistic modellin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b138232 |
| isbn_softcover | 978-3-642-05860-8 |
| isbn_ebook | 978-3-540-26875-8 |
| copyright | Springer-Verlag Berlin Heidelberg 2005 |
发表于 2025-3-21 18:45:04
