دانلود کتاب هوش محاسباتی برای تجزیه و تحلیل کسب و کار و سیستم‌های تصمیم‌گیری

The rapid pace of progress in computational intelligence has revolutionized the manner in which organizations process information, create insights, and make strategic decisions. Organizations today are living in an era marked by digital transformation, big data ecosystems, and algorithmic business environments. Traditional models of analytics are no longer adequate to deal with the complexity, uncertainty, and scope of modern-day business decisions. Intelligent systems that can learn, adapt, optimize, and explain themselves are now at the core of business performance and success. Computational Intelligence for Business Analytics and Decision Systems was envisioned to address the gap between state-of-the-art computational methodologies and business applications. This book features contemporary research studies that highlight the application of artificial intelligence, machine learning, deep learning, neural networks, fuzzy logic, soft computing, evolutionary and genetic algorithms, and hybrid intelligent systems in business analytics and decision systems. The chapters presented in this book cover topics such as predictive analytics, prescriptive analytics, optimization techniques, big data analytics, financial analytics, risk modeling, portfolio optimization, customer intelligence, supply chain analytics, and operations optimization. Additionally, there is a special focus on the importance of explainable AI and transparent decision systems to account for the growing need for accountable innovation in algorithmic decision systems. The book is written from an interdisciplinary point of view, and it attempts to combine concepts from various areas of computer science, data science, operations research, finance, and strategic management to develop a holistic framework for intelligent enterprise systems. It is hoped that this book will be of significant value to the advancement of scholarly discourse and innovation in the field of computational intelligence for business and intelligent analytics in complex organizational settings. The editor of this book would like to express our sincere appreciation to all contributing authors, reviewers, and collaborators who helped to make this book a reality. This book reflects the dynamic and ever-evolving nature of the field of computational intelligence and its impact on modern business analytics.