Game theory has already proved its tremendous potential for con?ict
resolution problems in the ?elds of Decision Theory and Economics. In
the recent past, there have been attempts to extend the results of crisp
game theory to those con?ict resolution problems which are fuzzy in
nature e.g. Nishizaki and Sakawa [61] and references cited there in.
These developments have lead to the emergence of a new area in the
literature called fuzzy games. Another area in the fuzzy decision
theory, which has been growing very fast is the area of fuzzy
mathematical programming and its applications to various branches of
sciences, Engineering and Management. In the crisp scenario, there
exists a beautiful relationship between two person zero sum matrix game
theory and duality in linear p- gramming. It is therefore natural to ask
if something similar holds in the fuzzy scenario as well. This
discussion essentially constitutes the core of our presentation. The
objective of this book is to present a systematic and focussed study of
the application of fuzzy sets to two very basic areas of decision
theory, namely Mathematical Programming and Matrix Game Theory.