Emerging Fuzzy Intelligent Systems for Smart Healthcare Management (eBook)

Applications of Disc q-Rung Orthopair Fuzzy Sets

Shahzaib Ashraf, Valentina Emilia Balas, Chiranjibe Jana, Witold Pedrycz (Autoren)

eBook Download: EPUB

2025 | 1. Auflage
250 Seiten
Elsevier Science (Verlag)
978-0-443-33998-1 (ISBN)

Infos

Emerging Fuzzy Intelligent Systems for Smart Healthcare Management: Applications of Disc q-Rung Orthopair Fuzzy Sets presents comprehensive methodological frameworks and the latest empirical research findings concerning disc q-rung orthopair fuzzy operators, with a specific focus on their applications in smart technologies for healthcare management. The book solves a crucial problem by offering readers an invaluable opportunity to conduct a comparative analysis, contrasting the proposed methods with their existing knowledge base. Disc q-Rung Orthopair sets, being the generalization of q-Rung Orthopair fuzzy sets, which are, in turn, the generalization of Pythagorean fuzzy sets, extend the capabilities of handling uncertainty beyond conventional fuzzy sets.The authors strive to narrow the knowledge gap by clarifying the practical applications of disc q-rung orthopair fuzzy logic. In addition, it explores an enhanced version of q-Rung Orthopair Fuzzy Sets, specifically focusing on Disc q-Rung Orthopair Fuzzy Sets, introducing various types of operators. These operators play a crucial role in solving decision-making and optimization problems. A notable contribution is the development of a hybrid operator, termed as the Disc q-Rung Orthopair Fuzzy Hybrid Weighted Averaging/Geometric (D-qROFHWA/G) operator. - Proposes a novel enhancement in the realm of q-rung orthopair fuzzy operators - Provides insights for both practitioners and academia, focusing on debated aspects in the field - Covers Advanced Aggregation Operators and MADM Methods for Smart Healthcare Management - Discusses comparative analysis and integration with established mathematical results

Dr. Shahzaib Ashraf received the B.S. degree in mathematics from the University of Sargodha, the M.S. degree in (fuzzy) mathematics from International Islamic University, Islamabad, and the Ph.D. degree from Abdul Wali Khan University, Mardan, Pakistan. He is an Assistant Professor in Mathematics at Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan. He also served the Bacha Khan University, Charsadda, Pakistan, as an Assistant Professor. He has published 100 research articles with more than 3000 citations. He currently supervises four M.S. and four Ph.D. theses and has supervised four M.S. theses. Dr. Ashraf has published in high impact journals, including International Journal of Intelligent Systems, Soft Computing, and International Journal of Fuzzy Systems. Dr. Ashraf's specialization is in fuzzy mathematics, spherical fuzzy sets, fuzzy decision support systems, computational intelligence, and soft computing.

Produkt-Details

• Erscheint lt. Verlag: 28.4.2025
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Technik ► Umwelttechnik / Biotechnologie
• ISBN-10: 0-443-33998-8 / 0443339988
• ISBN-13: 978-0-443-33998-1 / 9780443339981