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Elsevier Launches New Book Series – Uncertainty, Computational Techniques and Decision Intelligence
We are excited to announce that Elsevier is launching a new book series entitled “Uncertainty, Computational Techniques and Decision Intelligence.”
The series will be co-edited by Dr. Tofigh Allahviranloo, Bahcesehir University, Istanbul, Turkey; Dr. Narsis A. Kiani, Karolinska Institute, Stockholm, Sweden; and Dr. Witold Pedrycz, University of Alberta, Edmonton, Canada.
First volumes are set to publish in 2022 and topics will include: Intelligent decision support systems; Uncertainty management in smart decision support systems; Uncertain auto-learning systems; Soft computing in decision making; Dynamical systems under uncertainty; Biological data science and uncertainty; Machine reasoning; Logical rule-based systems; Structural reliability and risk assessment.
The series will focus on modern advances and innovations in the fields of computational intelligence and decision sciences. Books in this series will explain and present innovative theories and methods for decision making, improving, and learning from data in different domains. New methods and applications will be presented in an accessible and stimulating style for readers from diverse backgrounds, including but not limited to computer science, mathematics, statistics, engineering, risk analysis, operations research, biology, economics, and management science.
The series will target both readers already established in the fields of computational intelligence and decision sciences, as well as those coming from adjacent fields where application of these techniques is needed. The Series Editors envision that all volumes will build up from introductory chapters and end by addressing the needs of very advanced readers in the field. This series will integrate applications and concepts encountered across computer science, engineering, biology, physics, and decision/social sciences.
From the Series Editors:
“We are very pleased to be editing this exciting new book series devoted to a timely and omnipresent area of decision intelligence and uncertainty supported by advanced computational techniques. The aim is to bring high caliber volumes to the community that are written authoritatively by experts and practitioners in the area. We will be fostering innovative directions and shaping a vision of new frontiers of decision intelligence systems built in high uncertainty challenging environments.”
For more information, you can reach out to Publisher, Mara Conner.
Our Computer Science, Applied Mathematics, and Engineering books and e-books are available on ScienceDirect and for purchase on the Elsevier.com Bookstore.
Computing functionality is ubiquitous. Today this logic is built into almost any machine you can think of, from home electronics and appliances to motor vehicles, and it governs the infrastructures we depend on daily — telecommunication, public utilities, transportation. Maintaining it all and driving it forward are professionals and researchers in computer science, across disciplines including:
- Computer Architecture and Computer Organization and Design
- Data Management, Big Data, Data Warehousing, Data Mining, and Business Intelligence (BI)
- Human Computer Interaction (HCI), User Experience (UX), User Interface (UI), Interaction Design and Usability
- Artificial intelligence (AI)
- Peter Pacheco’s An Introduction to Parallel Programming
- Carol Barnum’s Usability Testing Essentials
- Peterson and Davie’s Computer Networks