Fuzzy Mathematical Programming

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.