By Shiyou Lian
The e-book showcases state of the art strategies and techniques, and offers the primary of imprecise-information processing. It additionally proposes a brand new idea and expertise for imprecise-information processing that differs from fuzzy know-how, hence delivering a platform for similar functions and laying the theoretical foundation for extra research.
Imprecise-information processing – a kind of processing in response to versatile linguistic values and quantifiable inflexible linguistic values – is a crucial component to intelligence technology and know-how. This booklet deals an easy-to-understand evaluate of the fundamental ideas and techniques of imprecise-information processing, permitting readers to boost comparable functions or pursue extra research.
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Extra info for Principles of Imprecise-Information Processing: A New Theoretical and Technological System.
As a matter of fact, uncertain-information processing already has a solid mathematical basis and a relatively perfect theoretical system. For example, probability theory and mathematical statistics are just special mathematical branches concerned with the processing of uncertain information. By contrast, imprecise-information processing still lacks a solid theoretical basis and the technology is not mature enough. These are the problems that the book is going to solve. 4 Research Issues of Imprecise-Information Processing As a subject, the research issues of imprecise-information processing include basic principles of imprecise information, the theories, technologies, and applications of imprecise-information processing, and the human brain’s thinking mechanism concerned with imprecise-information processing.
Actually, imprecise-information processing and uncertain-information processing are both indispensable and important components of artiﬁcial intelligence technology. On uncertain-information processing, people have conducted quite deep research and acquired abundant achievements. As a matter of fact, uncertain-information processing already has a solid mathematical basis and a relatively perfect theoretical system. For example, probability theory and mathematical statistics are just special mathematical branches concerned with the processing of uncertain information.
It should also be mentioned that in recent years, the research on quantum information theory and technology has become more and more active. In information representation and processing, quantum information technology has incomparable characteristics and advantages in comparison with traditional technologies. Then, can quantum information technology be used to represent and process imprecise information? This is obviously an issue worth our attention and thought. The author’s intuition is that quantum information technology will very likely be a more suitable and effective new technology for imprecise-information processing.