Fuzzy Linear Programming: Solution Techniques and Applications (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	August 2020
First published:	2019
Authors:	Seyed Hadi Nasseri • Ali Ebrahimnejad • Bing-Yuan Cao
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	232
Edition:	1st ed. 2019
ISBN-13:	978-3-03-018394-3
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	3-03-018394-7
Barcode:	9783030183943

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