Principles of Imprecise-Information Processing

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.

Introduction.- Formation of Flexible Linguistic Values and Their Mathematical Models ── Formation Principles and Modeling of Imprecise Information.- Fundamental Theories of Flexible Sets and Flexible Linguistic Values ── Mathematical Theories about Imprecise Information.- Truth-Degreed Logic and Flexible-Linguistic-Truth-Valued Logic ── Logic Theories about Imprecise Information.- Approximate Reasoning with Flexible Linguistic Rules and Approximate Evaluation of Flexible Linguistic Functions ── Reasoning and Computation with Imprecise Information and Knowledge.- Imprecise-Problem Solving and Imprecise-Knowledge Discovery──Application of Imprecise-Information Processing.- Quantifiable Rigid Linguistic Values and Information Processing with Degrees ── Extension of Imprecise Information.- Probabilities of Flexible Events, Believability-Degrees of Flexible Propositions and Reasoning with Believability-Degrees as well as Modal Propositions