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© 2016

Principles of Imprecise-Information Processing

A New Theoretical and Technological System.

Book
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Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Introduction

    1. Front Matter
      Pages 1-1
  3. Part II Formation of Flexible Linguistic Values and Their Mathematical Models: Formation Principles and Modeling of Imprecise Information

  4. Fundamental Theories of Flexible Sets and Flexible Linguistic Values: Mathematical Theories on Imprecise Information

  5. Truth-Degreed Logic and Flexible-Linguistic-Truth-Valued Logic: Logic Theories on Imprecise Information

    1. Front Matter
      Pages 247-247
  6. Approximate Reasoning with Flexible Linguistic Rules and Approximate Evaluation of Flexible Linguistic Functions: Reasoning and Computation with Imprecise Information and Knowledge

    1. Front Matter
      Pages 317-317

About this book

Introduction

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

Authors and affiliations

  1. 1.Xi'an Shiyou UniversityXi'anChina

About the authors

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 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.


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Reviews

“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)