Uncertainty in Computational Intelligence-Based Decision Making

Erscheinungsjahr 2024
ISBN: 978-0-443-21475-2
Verlag: Elsevier Science

Buch, Englisch, 338 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.

Autoren/Hrsg.

Ahmadian, Ali

Salahshour, Soheil

Balas, Valentina Emilia

Baleanu, Dumitru

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung

Inhaltsverzeichnis

1. TOPSIS for the selection of the prediction model in forensic ink analysis 2. EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE IN DETERMINING FOOT PATHOLOGIES AND DESIGN INSOLES USING PLAIN RADIOGRAPH AND DIGITAL PHOTOGRAPH 3. OUTBOUND LOGISTICS BUSINESS PROCESS MODELING: ANALYTIC PERSPECTIVE WITH BPMN 2.0 4. REVOLUTIONIZING DIABETIC FOOT ULCER TREATMENT: HARNESSING THE POWER OF ARTIFICIAL INTELLIGENCE AND TRANSFER LEARNING 5. A Systematic Review on Personalized Hybrid Diet Recommendations 6. Impact of Number and Type of Criteria on Ranking Abnormality in MCDM Techniques 7. Comparison between some methods in fuzzy linear regression 8. Artificial Intelligence and decision making in climate change studies: A review 9. Computational Decision Intelligence approaches for drought prediction: A review 10. A review of the Applications of Computational Decision Intelligence approaches in agrometeorology 11. A Fuzzy Logic Design for Self-driving Vehicle to Avoid Obstacles 12. K-Means Clustering Over Distributed Environment: A Review 13. Advanced Frequent Itemsets Mining Algorithm (AFIM) 14. TEAM: Trust Evaluation and Analysis of Misbehaviors in WSNs 15. Computational Intelligence in Decision Support: Scope and Techniques 16. Automatic Parallelization for Multicore Architectures: Role, Importance and Opportunities 17. Using Tensor Processing Units to identify the relationship between hypothesis and premise: A case of natural language inference problem 18. Secure and Cost-Effective Key Management Scheme for the Internet of Things supported WSN 19. A deep learning-based integrated voice assistance system for partially disabled people

Über Autor(innen)

Ahmadian, Ali
Dr. Ali Ahmadian is a senior research scientist the Mediterranea University of Reggio Calabria, Italy and an Associate Fellow Researcher at the Institute of IR 4.0, The National University of Malaysia. As an active researcher, he is dedicated to research in applied mathematics. He received his Ph.D. in early of 2014 as the best postgraduate student from Universiti Putra Malaysia (UPM). After his Ph.D. He took a postdoctoral fellowship at same university as part of the numerical analysis research group and at the same time joint to the University of Malaya as an Associate Researcher. He was promoted as a Fellow Researcher on December 2017 in UPM. In 2019, he joined the National University of Malaysia as a senior lecturer where he currently works in the Institute of IR 4.0. In general, his primary mathematical focus is the development of computational methods and models for problems arising in computer science, biology, physics, and engineering under fuzzy and fractional calculus (FC); in this context, he has worked on projects related to nano-communication networks, drug delivery systems, acid hydrolysis in palm oil frond, and carbon nanotubes dynamics, nanofluids, viscosity, AI and etc. He is a member of editorial board in Sustainable Computing: Informatics and Systems, Soft Computing, Journal of control and Decision, Progress in Fractional Differentiation and Applications (Natural Sciences Publishing) and Mathematical Problems in Engineering (Hindawi) and lead guest editor of special issues in more than 50 international journals from Elsevier, Springer, Wiley and so on. He is an author of more than 350 research papers published in as Nature, IEEE, Elsevier, Springer, Wiley and etc. He is an author and editor of four books published and in process in CRC Press and Elsevier, respectively. He also presented his research works in 38 international conferences held in Canada, Serbia, China, Turkey, Malaysia and UAE. He also received Premio Anassilaos Giovani Award for his achievement in art, culture, economics and science from Italy in November 2021.

Salahshour, Soheil
Soheil Salahshour has, since 2012, been a University Professor with the Department of Mathematics in different universities, and recently moved to the Istanbul Okan University. His research interests include fractional models and Calculus, Fuzzy expert systems, evolutionary algorithms, optical soliton solutions, data science and big data applications.

Baleanu, Dumitru
Dumitru Baleanu is a full professor at the Institute of Space Sciences, Romania. Fractional dynamics and its applications, fractional differential equations, discrete mathematics, dynamic systems on time scales, the wavelet method and its applications, quantization of the systems with constraints, the Hamilton-Jacobi formalism, and geometries admitting generic and non-generic symmetries are among Dumitru's research interests. He has edited five books and published more than 1400 papers. He serves on several journals' editorial boards. With more than 30000 citations, Dumitru has served as a referee for more than 200 journals. He was included in the 2015-2020 Thompson Reuter list of the top 1% of highly cited researchers.