Uncertainty in Computational Intelligence-Based Decision Making

Herausgeber: Ahmadian, Ali; Baleanu, Dumitru; Balas, Valentina Emilia; Salahshour, Soheil

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 338
• Erscheinungstermin: 24. September 2024
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443214752
• ISBN-10: 0443214751
• Artikelnr.: 70123182

Inhaltsangabe

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