Emerging Fuzzy Intelligent Systems for Smart Healthcare Management : Applications of Disc Q-rung Orthopair Fuzzy Sets

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.

Dr. Chiranjibe Jana is a researcher in the Department of Applied Mathematics with Oceanology and Computer Programming at Vidyasagar University, India. Dr. Jana’s research interests include fuzzy logic, fuzzy set, aggregation operators, BCK-algebra, topological space, fuzzy number, soft set, and congruence relation. He has published on a wide range of these research topics in journals such as International Journal of Intelligent Systems, Computational and Applied Mathematics, Expert Systems, Granular Computing, IEEE Access, and Journal of Ambient Intelligence and Humanized Computing.

Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, at Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research spans intelligent systems, computational intelligence, applied informatics, and engineering applications. Dr. Balas serves as Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering and is a member of the editorial boards of several international journals. She is actively involved in the evaluation of national and international research projects and doctoral theses and contributes to scholarly initiatives that support the advancement of intelligent and computational systems research.

Dr. Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in computational intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. In 2012 he was elected a fellow of the Royal Society of Canada. His main research directions involve computational intelligence, fuzzy modeling and granular computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He is also an author of 18 research monographs and edited volumes covering various aspects of computational intelligence, data mining, and software engineering. Dr. Pedrycz is vigorously involved in editorial activities. He is the editor-in-chief of Information Sciences, editor-in-chief of WIREs Data Mining and Knowledge Discovery, and co-editor-in-chief of International Journal of Granular Computing, and Journal of Data Information and Management. He serves on the advisory board of IEEE Transactions on Fuzzy Systems.