In the last 25 years, the fuzzy set theory has been applied in many
disciplines such as operations research, management science, control
theory, artificial intelligence/expert system, etc. In this volume,
methods and applications of fuzzy mathematical programming and
possibilistic mathematical programming are first systematically and
thoroughly reviewed and classified. This state-of-the-art survey
provides readers with a capsule look into the existing methods, and
their characteristics and applicability to analysis of fuzzy and
possibilistic programming problems. To realize practical fuzzy
modelling, we present solutions for real-world problems including
production/manufacturing, transportation, assignment, game,
environmental management, resource allocation, project investment,
banking/finance, and agricultural economics. To improve flexibility and
robustness of fuzzy mathematical programming techniques, we also present
our expert decision-making support system IFLP which considers and
solves all possibilities of a specific domain of (fuzzy) linear
programming problems. Basic fuzzy set theories, membership functions,
fuzzy decisions, operators and fuzzy arithmetic are introduced with
simple numerical examples in aneasy-to-read and easy-to-follow manner.
An updated bibliographical listing of 60 books, monographs or conference
proceedings, and about 300 selected papers, reports or theses is
presented in the end of this study.
