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Principles of Imprecise-Information Processing
Shiyou Lian
€ 184.95
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Description for Principles of Imprecise-Information Processing
Hardback. Num Pages: 674 pages, 186 black & white illustrations, biography. BIC Classification: TJFM1; UNH; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 37. Weight in Grams: 1172.
The book showcases cutting-edge concepts and methods, and presents the principle of imprecise-information processing. It also proposes a new theory and technology for imprecise-information processing that differs from fuzzy technology, thus providing a platform for related applications and laying the theoretical basis for further research.
Imprecise-information processing – a type of processing based on flexible linguistic values and quantifiable rigid linguistic values – is an important component of intelligence science and technology. This book offers an easy-to-understand overview of the basic principles and methods of imprecise-information processing, allowing readers to develop related applications or pursue further research.
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer Verlag, Singapore Singapore
Number of pages
674
Condition
New
Number of Pages
648
Place of Publication
Singapore, Singapore
ISBN
9789811015472
SKU
V9789811015472
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Shiyou Lian
Prof. Shiyou Lian is Associate Professor at Xi'an Shiyou University, China. He has engaged in the teaching and research of computer science and artificial intelligence for nearly 30 years. His current research areas includes Imprecise-information processing, Intelligence science and technology theories, Intelligent application system development, etc. Prof. Lian participated in or presided over 10 scientific projects, including National Natural Science Foundation ... Read more
Reviews for Principles of Imprecise-Information Processing
“This research monograph is devoted to so-called flexible concepts (flexible sets) aimed at the representation and processing imprecision in systems analysis. … the book could be of interest to various groups of readers as offering yet another avenue of representing and processing imprecise information.” (Witold Pedrycz, zbMATH 1370.68006, 2017)