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.
By:
Seyed Hadi Nasseri, Ali Ebrahimnejad, Bing-Yuan Cao Imprint: Springer Nature Switzerland AG Country of Publication: Switzerland Edition: 2019 ed. Dimensions:
Height: 235mm,
Width: 155mm,
Weight: 454g ISBN:9783030183943 ISBN 10: 3030183947 Pages: 232 Publication Date:14 August 2020 Audience:
College/higher education
,
A / AS level
,
Further / Higher Education
Format:Paperback Publisher's Status: Active
Preliminaries and Backgrounds.- Fuzzy Linear Programming.- Fuzzy Number Linear Programming.- Linear Programming with Fuzzy Variables.- Semi-Fully Fuzzy Linear Programming.- Application for the Flexible Linear Programming.