This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science. This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and ...
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This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science. This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and bioinformatics. To handle different nature of problems, including uncertainty, the book highlights the theory and recent developments on uncertainty, fuzzy systems, feature extraction, text categorization, multiscale modeling, soft computing, machine learning, deep learning, SMOTE, data handling, decision making, Diophantine fuzzy soft set, data envelopment analysis, centrally measures, social networks, Volterra-Fredholm integro-differential equation, Caputo fractional derivative, interval optimization, decision making, classification problems. This book is predominantly envisioned for researchers and students of data science, medical scientists and professional engineers.
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Add this copy of Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches to cart. $159.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2023 by Springer Verlag, Singapore.
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Forum for Interdisciplinary Mathematics . XIII, 276 p. 60 illus., 45 illus. in color. Intended for professional and scholarly audience.
Add this copy of Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches to cart. $173.27, new condition, Sold by Ria Christie Books rated 4.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2023 by Springer Verlag, Singapore.
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New. Contains: Illustrations, black & white, Illustrations, color. Forum for Interdisciplinary Mathematics . XIII, 276 p. 60 illus., 45 illus. in color. Intended for professional and scholarly audience.
Add this copy of Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches to cart. $181.86, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2024 by Springer.
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Fine. Trade paperback (US). Glued binding. 276 p. Contains: Illustrations, black & white, Illustrations, color. Forum for Interdisciplinary Mathematics. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches to cart. $183.70, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2024 by Springer.
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Seller's Description:
New. Trade paperback (US). Glued binding. 276 p. Contains: Illustrations, black & white, Illustrations, color. Forum for Interdisciplinary Mathematics. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.