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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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m Polar Fuzzy Graphs - Theory, Methods & Applications (Hardcover, 1st ed. 2019) Loot Price: R2,986

Discovery Miles 29 860

Repayment Terms: R280 pm x 12*

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m Polar Fuzzy Graphs - Theory, Methods & Applications (Hardcover, 1st ed. 2019): Muhammad Akram

m Polar Fuzzy Graphs - Theory, Methods & Applications (Hardcover, 1st ed. 2019)

Muhammad Akram

Series: Studies in Fuzziness and Soft Computing, 371

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Loot Price R2,986 Discovery Miles 29 860 | Repayment Terms: R280 pm x 12*

Expected to ship within 10 - 15 working days

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This book provides readers with an introduction to m-polar fuzzy graphs and m-polar fuzzy hypergraphs, covering both theories and applications. A special emphasis is given to m-polar fuzzy graphs at the aim of filling a gap in the literature, namely the absence of a mathematical approach to analyze multi-index, multipolar, and multi-attribute data. The book describes metrics and labeling in m-polar graphs, m-polar fuzzy matroids. It also discusses in detail important applications in decision-making problems and imaging processing. The book is expected to stimulate the curiosity of mathematics, computer scientists, and social scientists alike, and to provide both students and researchers with the necessary knowledge to understand and apply m polar fuzzy graph theory.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 371
Release date:	November 2018
First published:	2019
Authors:	Muhammad Akram
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	296
Edition:	1st ed. 2019
ISBN-13:	978-3-03-003750-5
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-003750-9
Barcode:	9783030037505