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Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling : Theo...

Description: Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling : Theory and Applications, Hardcover by Som, Tanmoy (EDT); Castillo, Oscar (EDT); Tiwari, Anoop Kumar (EDT); Shreevastava, Shivam (EDT), ISBN 9811985650, ISBN-13 9789811985652, Brand New, Free shipping in the US 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, th 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.

Price: 182.74 USD

Location: Jessup, Maryland

End Time: 2024-11-26T03:14:34.000Z

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Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling : Theo...

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Book Title: Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Han

Number of Pages: Xiii, 276 Pages

Publication Name: Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling : Theory and Applications

Language: English

Publisher: Springer

Subject: Probability & Statistics / General, General, Databases / Data Mining, Bioinformatics

Publication Year: 2023

Type: Textbook

Item Weight: 21.4 Oz

Subject Area: Mathematics, Computers

Item Length: 9.3 in

Author: Oscar Castillo

Series: Forum for Interdisciplinary Mathematics Ser.

Item Width: 6.1 in

Format: Hardcover

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