Near Vector Spaces and Related Topics

Near Vector Spaces and Related Topics provides a systematic treatment of the introductory theory of near vector spaces, as well as a range of associated areas.Since many topics in nonlinear analysis rely on the properties established in topological vector space, the concepts and topics presented in this book may stir up the interest of some researchers working in mathematical analysis, especially nonlinear analysis, and thus may potentially open a new avenue of research. The main prerequisites for most of the material in this book are basic concepts of functional analysis, including the basic tools of topology.This book is accessible to senior undergraduate students in mathematics and may also be used as a graduate level text, or as a reference for researchers who work on the applications of nonlinear analysis.Features · Valuable resource for researchers and postgraduate students interested in the foundation of fuzzy sets and nonlinear analysis· Presents new, previously unpublished material on near vector spaces· Well-organized and comprehensive treatment of the subject.

Hsien-Chung Wu is a Professor in the Department of Mathematics at the National Kaohsiung Normal University in Taiwan. He received his Ph.D from the University of Texas at Austin in USA. He is the sole author of more than 130 scientific papers published in international journals. He is an Associate Editor of Soft Computing, an Associate Editor of Fuzzy Optimization and Decision Making, and an Area Editor of International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. His current research includes the foundation of fuzzy sets and nonlinear analysis.