博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
Uncertainty and Information: Foundations of Generalized Information Theory
阅读量:4230 次
发布时间:2019-05-26

本文共 2101 字,大约阅读时间需要 7 分钟。

版权声明:原创作品,允许转载,转载时请务必以超链接形式标明文章原始出版、作者信息和本声明。否则将追究法律责任。 - topmvp
Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early 1990s under the name "generalized information theory" (GIT). This ongoing research program aims to develop a formal mathematical treatment of the interrelated concepts of uncertainty and information in all their varieties. In GIT, as in classical information theory, uncertainty (predictive, retrodictive, diagnostic, prescriptive, and the like) is viewed as a manifestation of information deficiency, while information is viewed as anything capable of reducing the uncertainty. A broad conceptual framework for GIT is obtained by expanding the formalized language of classical set theory to include more expressive formalized languages based on fuzzy sets of various types, and by expanding classical theory of additive measures to include more expressive non-additive measures of various types. This landmark book examines each of several theories for dealing with particular types of uncertainty at the following four levels: * Mathematical formalization of the conceived type of uncertainty * Calculus for manipulating this particular type of uncertainty * Justifiable ways of measuring the amount of uncertainty in any situation formalizable in the theory * Methodological aspects of the theory With extensive use of examples and illustrations to clarify complex material and demonstrate practical applications, generous historical and bibliographical notes, end-of-chapter exercises to test readers' newfound knowledge, glossaries, and an Instructor's Manual, this is an excellent graduate-level textbook, as well as an outstanding reference for researchers and practitioners who deal with the various problems involving uncertainty and information.
http://rapidshare.com/files/16541880/I0471748676.rar
你可能感兴趣的文章
POJ1113——Wall(凸包)
查看>>
HDU3847——Trash Removal(凸包,枚举)
查看>>
文档滚动对 scrollTop scrollLeft的兼容性封装
查看>>
Python笔记:文档注释docstrings, 让函数更易读懂
查看>>
Python笔记:lambda表达式
查看>>
Python笔记:input
查看>>
Python笔记:错误和异常和访问错误消息
查看>>
Python笔记:对文件的读写操作
查看>>
Python笔记:详解使用Python列表创建ndarray
查看>>
Python笔记:详解使用内置函数创建ndarray
查看>>
Typescript 中的函数应用
查看>>
Typescript 中的类的应用
查看>>
Python笔记:NumPy中的布尔型索引使用举例
查看>>
Python笔记:NumPy 中的集合运算举例: 查找共同元素,差异元素和共有元素
查看>>
Python笔记:访问或修改 Pandas Series 中的元素以及相关运算
查看>>
Python笔记:Pandas DataFrames 的使用
查看>>
Python笔记:在Pandas中处理NaN值
查看>>
Python笔记:Pandas DataFrame 加载数据的方式
查看>>
Python笔记:初识Matplotlib和Seaborn
查看>>
Typescript 中的接口的实现
查看>>