Fuzzy Linear Programming: Solution Techniques and Applications
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Beschreibung
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.
Recent research on Fuzzy Linear Programming
Presents solution techniques and applications of Fuzzy Linear Programming
Written by leading experts in the field
Highlights recent research on fuzzy linear programming Presents solution techniques and applications of fuzzy linear programming Written by leading experts in the field
Autor*in
Seyed Hadi Nasseri
Themen in »Fuzzy Linear Programming: Solution Techniques and Applications«
Duality Fuzzy Coefficient Fuzzy Linear Programming Fuzzy Ordering Fuzzy Sets Fuzzy Simplex Fuzzy Variable