04481nam a22006015i 4500 978-981-99-5354-7 DE-He213 20251030110829.0 cr nn 008mamaa 231103s2024 si | s |||| 0|eng d 9789819953547 978-981-99-5354-7 10.1007/978-981-99-5354-7 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Computational Intelligence for Modern Business Systems [electronic resource] : Emerging Applications and Strategies / edited by Sandeep Kautish, Prasenjit Chatterjee, Dragan Pamucar, N. Pradeep, Deepmala Singh. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXI, 522 p. 154 illus., 120 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Disruptive Technologies and Digital Transformations for Society 5.0, 2730-907X Foundations of Computational Intelligence -- Changing Paradigms of Computational Intelligence in Business Systems -- Computational Intelligence and Statistical Approaches -- Overview of Computational Approaches for Business -- Expert Systems and Knowledge Based Systems in Business. This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems. Telecommunication. Artificial intelligence. 58441 Data structures (Computer science). 66708 Information theory. 57783 Communications Engineering, Networks. Artificial Intelligence. 58441 Data Structures and Information Theory. 66709 Kautish, Sandeep. editor. edt http://id.loc.gov/vocabulary/relators/edt 67000 Chatterjee, Prasenjit. editor. edt http://id.loc.gov/vocabulary/relators/edt 67001 Pamucar, Dragan. editor. edt http://id.loc.gov/vocabulary/relators/edt 67002 Pradeep, N. editor. edt http://id.loc.gov/vocabulary/relators/edt 67003 Singh, Deepmala. editor. edt http://id.loc.gov/vocabulary/relators/edt 67004 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819953530 Printed edition: 9789819953554 Printed edition: 9789819953561 Disruptive Technologies and Digital Transformations for Society 5.0, 2730-907X 67005 https://doi.org/10.1007/978-981-99-5354-7 ZDB-2-ENG ZDB-2-SXE 56500 56500