Uncertainty in Computational Intelligence-Based Decision Making by Ahmadian, Ali; Salahshour, Soheil; Balas, Valentina Emilia; Baleanu, Dumitru;

Sorozatcím: Advanced Studies in Complex Systems;

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A termék adatai:

Kiadó Elsevier Science
Megjelenés dátuma 2024. szeptember 24.

ISBN 9780443214752
Kötéstípus Puhakötés
Terjedelem338 oldal
Méret 234x190 mm
Súly 450 g
Nyelv angol

Kategóriák

Operációs rendszerek és grafikus felhasználói felületek Mesterséges intelligencia Operációs rendszerek és grafikus felhasználói felületek (karitatív célú kampány) Mesterséges intelligencia (karitatív célú kampány)

Hosszú leírás:

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.

Több

Tartalomjegyzék:

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