Book

Description

Complex q-Rung Orthopair Fuzzy Sets: Theory and Applications in Decision Sciences      In an era of rapid scientific progression, artificial intelligence, data-driven and decision-making based on uncertainty has become essential for solving complex scientific and engineering problems. Complex q-Rung Orthopair Fuzzy Sets: Theory and Applications, authored by Dr. Tahir Mahmood, Dr. Hafiz Muhammad Iftikhar, and Khurram Ali, presents an advanced mathematical framework for addressing multi-criteria decision-making challenges involving ambiguous, incomplete, and complex information.       Beginning with the fundamental concepts of fuzzy sets and their generalizations, the book advances refined decision-making methodologies by incorporating complex q-rung orthopair fuzzy sets with prominent aggregation operators and multi-criteria decision-making techniques. These include Hamacher, Schweizer–Sklar, Sugeno–Weber, Dubois–Prade, Frank, Aczel–Alsina, and Heronian operators, combined with methods such as BWM-CoCoSo, TOPSIS, MEREC-MARCOS, CRITIC-VIKOR, COPRAS, and CLIOS-EDAS.      The book discovers applications in intelligent green technology adoption, cybersecurity risk assessment, next-generation Internet of Things (IoT) systems, quantum computing platforms, AI-enabled industrial quality control, cloud service selection, resource optimization, and AI-driven waste management. Each application demonstrates how advanced fuzzy mathematical models can support systematic evaluation, comparative analysis, and informed decisions under uncertainty.