Fuzzy Mathematical Analysis and Advances in Computational Mathematics (1st ed. 2022)


The edited volume includes papers in the fields of fuzzy mathematical analysis and advances in computational mathematics. The fields of fuzzy mathematical analysis and advances in computational mathematics can provide valuable solutions to complex problems. They have been applied in multiple areas such as high dimensional data analysis, medical diagnosis, computer vision, hand-written character recognition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc. The volume covers ongoing research in fuzzy and computational mathematical analysis and brings forward its recent applications to important real-world problems in various fields. The book includes selected high-quality papers from the International Conference on Fuzzy Mathematical Analysis and Advances in Computational Mathematics (FMAACM 2020).

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Product Description

The edited volume includes papers in the fields of fuzzy mathematical analysis and advances in computational mathematics. The fields of fuzzy mathematical analysis and advances in computational mathematics can provide valuable solutions to complex problems. They have been applied in multiple areas such as high dimensional data analysis, medical diagnosis, computer vision, hand-written character recognition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc. The volume covers ongoing research in fuzzy and computational mathematical analysis and brings forward its recent applications to important real-world problems in various fields. The book includes selected high-quality papers from the International Conference on Fuzzy Mathematical Analysis and Advances in Computational Mathematics (FMAACM 2020).

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Studies in Fuzziness and Soft Computing, 419

Release date

April 2023

Availability

Expected to ship within 10 - 15 working days

First published

2022

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Pages

268

Edition

1st ed. 2022

ISBN-13

978-981-19-0473-8

Barcode

9789811904738

Categories

LSN

981-19-0473-1



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