This book presents the necessary and essential backgrounds of fuzzy set theory and linear
programming particularly a broad range of common Fuzzy Linear Programming (FLP) models and
related convenient solution techniques. These models and methods belong to three common
classes of fuzzy linear programming namely: (i) FLP problems in which all coefficients are
fuzzy numbers (ii) FLP problems in which the right-hand-side vectors and the decision
variables are fuzzy numbers and (iii) FLP problems in which the cost coefficients the
right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially
generalizes the well-known solution algorithms used in linear programming to the fuzzy
environment. Accordingly it can be used not only as a textbook teaching material or reference
book for undergraduate and graduate students in courses on applied mathematics computer
science management science industrial engineering artificial intelligence fuzzy information
processes and operations research but can also serve as a reference book for researchers in
these fields especially those engaged in optimization and soft computing. For textbook
purposes it also includes simple and illustrative examples to help readers who are new to the
field.
