Real-world information is imperfect and is usually described in
natural language (NL). Moreover, this information is often
partially reliable and a degree of reliability is also expressed in
NL. In view of this, the concept of a Z-number is a more adequate
concept for the description of real-world information. The main
critical problem that naturally arises in processing
Z-numbers-based information is the computation with Z-numbers.
Nowadays, there is no arithmetic of Z-numbers suggested in existing
literature.This book is the first to present a comprehensive and
self-contained theory of Z-arithmetic and its applications. Many of
the concepts and techniques described in the book, with carefully
worked-out examples, are original and appear in the literature for
the first time.The book will be helpful for professionals,
academics, managers and graduate students in fuzzy logic, decision
sciences, artificial intelligence, mathematical economics, and
computational economics.
General
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