Hardcover
Fuzzy sets and rough sets: power for AI and engineering.

$187.99

  • Hardcover

    178 pages

  • Release Date

    30 April 2026

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Summary

This book explains the foundational principles of fuzzy algebra, including fuzzy sets, fuzzy operations, and fuzzy relations. It shows how fuzzy algebra can be applied in artificial intelligence, particularly in areas such as decision-making, pattern recognition, and machine learning, where uncertainty and imprecision are common. It demonstrates the use of fuzzy algebra in engineering disciplines, such as control systems, cybersecurity, signal processing, and robotics, where fuzzy logic can b…

Book Details

ISBN-13:9788743807810
ISBN-10:874380781X
Author:Tahir Mahmood, Jabbar Ahmmad, Ubaid Ur Rehman, Harish Garg
Publisher:River Publishers
Imprint:River Publishers
Format:Hardcover
Number of Pages:178
Release Date:30 April 2026
Weight:530g
Dimensions:156mm x 234mm
Series:River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering
A-Format
B-Format
C-Format
Complex Fuzzy Rough Sets and Their Applications by Tahir Mahmood - ISBN: 9788743807810
156 × 234 mm
A4
mm / in
About The Author

Tahir Mahmood

Tahir Mahmood is an associate professor of Mathematics at the Department of Mathematics and Statistics, International Islamic University Islamabad, Pakistan. He received his Ph.D. degree in Mathematics from Quaid-i-Azam University Islamabad, Pakistan in 2012 in the field of Fuzzy Algebra. His areas of interest are algebraic structures, fuzzy algebraic structures, decision making and generalizations of fuzzy sets. He has authored around 360 research publications with more than 10,500 citations, an 850 impact factor, an h-index of 50, and an i10-index of around 200. He has supervised 63 M.Sc. students and 9 Ph.D. students. Currently, he is an editorial board member of 3 impact factor journals and the editor-in-chief of the “Journal of Innovative Research in Mathematical and Computational Sciences.”

Jabbar Ahmmad received his M.Sc., M.Sc. (second M.Sc. likely a typo in original text), and Ph.D. degrees in Mathematics from International Islamic University Islamabad, Pakistan, in 2018, 2020, and 2024, respectively. His research interests include fuzzy sets and their generalizations, fuzzy algebraic structures, aggregation operators, similarity measures, fuzzy decision-making, rough sets, soft sets, decision-making theory, and machine learning. He has published more than 35 articles in well-reputed peer-reviewed journals.

Ubaid ur Rehman is an assistant professor at the Department of Mathematics, University of Management and Technology, Lahore, Pakistan. He received his Ph.D. degree in Mathematics from the International Islamic University Islamabad, Pakistan in 2023. His research interests include fuzzy sets and their generalizations, aggregation operators, similarity measures, fuzzy decision-making, rough sets, soft sets, decision-making theory, and artificial intelligence. He has published more than 80 articles in well-reputed peer-reviewed journals with a combined impact factor of over 250. He has been a member of the academic board of Global Open Share Publishing since 2024.

Harish Garg is an associate professor at Thapar Institute of Engineering & Technology, Patiala, Punjab, India. He received the Most Outstanding Researcher award in the field of Mathematics from Carrer 360 Academy and the International Obada-Prize 2022 – Young Distinguished Researchers. He was also recognized by Elsevier Publishers for a Top-Cited paper by an India-based author (2015–2019). He serves on the advisory board of the Universal Scientific Education and Research Network (USERN) and is a research fellow at INTI International University, Malaysia. He is ranked in the World’s Top 2% Scientist List, ranking #1 in India and #163 globally, as published by Stanford University from 2020-2024. Dr. Garg’s research interests include computational intelligence, multi-criteria decision making, evolutionary algorithms, reliability analysis, expert systems and decision support systems, computing with words, and soft computing. He has authored over 540 papers (more than 520 SCI indexed) published in refereed international journals, including IEEE Transactions, Elsevier, and Springer. His Google citations exceed 28,300 with an h-index of 93. He is a leading global researcher in reliability, MCDM, and soft computing approaches. Dr. Garg is also on the editorial boards of several leading international journals, including serving as the founding editor-in-chief of the Journal of Computational and Cognitive Engineering. He is also an associate editor for Alexandria Engineering Journal, Journal of Industrial & Management Optimization, and CAAI Transactions on Intelligence Technology, among others.

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