Authors:
- Provides a comprehensive and systematic approach to imprecise-information processing as an independent research field
- Proposes a new theory and technology for imprecise-information processing that differs from fuzzy technology
- Offers a platform for related applications as a theoretical basis for further research
- Includes over 50 theorems, more than 100 formulas, functions and rules, and in excess of 80 specific methods and algorithms, as well as various system structure diagrams
- Features significant new content added since the publication of the original Chinese edition in 2009
- Includes supplementary material: sn.pub/extras
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Table of contents (26 chapters)
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Front Matter
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Introduction
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Front Matter
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Part II Formation of Flexible Linguistic Values and Their Mathematical Models: Formation Principles and Modeling of Imprecise Information
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Front Matter
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Fundamental Theories of Flexible Sets and Flexible Linguistic Values: Mathematical Theories on Imprecise Information
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Front Matter
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Truth-Degreed Logic and Flexible-Linguistic-Truth-Valued Logic: Logic Theories on Imprecise Information
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Front Matter
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Approximate Reasoning with Flexible Linguistic Rules and Approximate Evaluation of Flexible Linguistic Functions: Reasoning and Computation with Imprecise Information and Knowledge
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Front Matter
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About this book
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.
Keywords
- Information Processing
- Imprecise Information
- Flexible Linguistic Values
- Approximate Reasoning
- Imprecise Knowledge
- Rigid Linguistic Values
- Fuzzy Sets
- Machine Learning
- Robots and Automation
- Pattern Recognition
- Control and Decision Making
- Natural Language Processing
- Data Mining
- Knowledge Discovery
- Man-Machine Interfaces
- Knowledge Representation
- Anthropomorphic Computer
- Multivalued Logic
- Soft Computing
- Artificial Intelligence
Reviews
Authors and Affiliations
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Xi'an Shiyou University, Xi'an, China
Shiyou Lian
About the author
Prof. Lian participated in or presided over 10 scientific projects, including National Natural Science Foundation of China projects and National 863 Hi-tech projects. He is sole author of 3 academic monographs and sole or first author of over 30 scientific papers; won a second prize of Distinguished Science and Research Achievement of Shaanxi Institutions of Higher Learning; singly developed expert system development tool ESS.
Prof. Lian is sole author and editor of 6 textbooks, including the Introduction to Artificial Intelligence (Third Edition), one of the National "Eleventh Five-year" Planned Textbooks. He has also won 2 second prizes of teaching achievement of provincial level.
Bibliographic Information
Book Title: Principles of Imprecise-Information Processing
Book Subtitle: A New Theoretical and Technological System.
Authors: Shiyou Lian
DOI: https://doi.org/10.1007/978-981-10-1549-6
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Hardcover ISBN: 978-981-10-1547-2Published: 11 July 2016
Softcover ISBN: 978-981-10-9383-8Published: 07 June 2018
eBook ISBN: 978-981-10-1549-6Published: 02 July 2016
Edition Number: 1
Number of Pages: XXVI, 648
Number of Illustrations: 186 b/w illustrations
Topics: Artificial Intelligence, Computational Intelligence, Robotics and Automation, Information Systems Applications (incl. Internet)