Computational Intelligence and Neuroscience

Artificial Intelligence and Machine Learning-Driven Decision-Making


Publishing date
01 May 2022
Status
Closed
Submission deadline
17 Dec 2021

Lead Editor

1Guangxi University for Nationalities, Nanning, China

2Huainan Normal University, Huainan, China

3Al-Azhar University, Cairo, Egypt

This issue is now closed for submissions.

Artificial Intelligence and Machine Learning-Driven Decision-Making

This issue is now closed for submissions.

Description

Decision-making refers to the strategy or method of decision. It is a process involving ideas and decisions about certain events. It is a complex process in terms of operations. It includes information collection, processing, judgments, and conclusions. Artificial intelligence (AI) is a subject that looks into computer simulations and assesses certain thinking processes and intelligent behaviours of humans (such as learning, reasoning, thinking, planning, etc.). AI is mainly based on the principles of computer intelligence, enabling computers to have similar intelligence as human brains. For decision-making problems, AI and machine learning (ML) can help us make the best choices. The most commonly used artificial intelligence and learning machine tools for decision making are genetic algorithms, cellular automata, and agent-based models.

Artificial intelligence and learning machine-driven decision-making are widely applied in computer science, engineering, physics, mathematics, and medicine. These types of decision-making include mathematic system theory, fuzzy logic, and fuzzy rules. With AI and ML-driven decision-making, experts in various fields are able to predict and decide the best choices.

The aim of this special issue is to bring together original research and review articles discussing how artificial intelligence and learning machines in decision-making help conduct further research in computer science, engineering, physics, mathematics, and medicine public policy. This Special Issue hopes to provide a platform for researchers to discuss their new findings in understanding how AI and ML can solve decision-making problems.

Potential topics include but are not limited to the following:

  • Artificial intelligence and machine learning-driven decision-making in computer science
  • Artificial intelligence models used for decision-making
  • Machine learning models used for decision-making
  • AI and ML-driven decision-making in medical expert models
  • AI and ML-driven decision-making in fuzzy mathematic models
  • AI and ML-driven decision-making in rough mathematic models
  • AI and ML-driven decision-making in complex models
  • AI and ML-driven decision-making in nonlinear systems control
  • AI and ML-driven decision-making in fractional-order systems control

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9815067
  • - Retraction

Retracted: Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9808303
  • - Retraction

Retracted: Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9823582
  • - Retraction

Retracted: Analysis of Communication and Network Securities Using the Concepts of Complex Picture Fuzzy Relations

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2022
  • - Article ID 9845825
  • - Corrigendum

Corrigendum to “A Decision-Making Approach Based on Score Matrix for Pythagorean Fuzzy Soft Set”

Imran Siddique | Rana Muhammad Zulqarnain | ... | Hamiden Abd El-Wahed Khalifa
  • Special Issue
  • - Volume 2022
  • - Article ID 6820719
  • - Research Article

Soft Substructures in Quantales and Their Approximations Based on Soft Relations

Huan Zhou | Saqib Mazher Qurashi | ... | Ahmed Mostafa Khalil
  • Special Issue
  • - Volume 2022
  • - Article ID 2998242
  • - Research Article

An Improved Transformer-Based Neural Machine Translation Strategy: Interacting-Head Attention

Dongxing Li | Zuying Luo
  • Special Issue
  • - Volume 2022
  • - Article ID 6031129
  • - Research Article

Network Security Situation Prediction Model Based on EMD and ELPSO Optimized BiGRU Neural Network

Biao Zhang | Mingqi Jia | ... | Liwei Deng
  • Special Issue
  • - Volume 2022
  • - Article ID 4151487
  • - Review Article

Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance

Yazan A. Alsariera | Yahia Baashar | ... | Nor’ashikin Ali
  • Special Issue
  • - Volume 2022
  • - Article ID 6979075
  • - Research Article

On Stability of Continuous Cooperative Static Games with Possibilistic Parameters in the Objective Functions

Harish Garg | S. A. Edalatpanah | ... | Hamiden Abd El- Wahed Khalifa
  • Special Issue
  • - Volume 2022
  • - Article ID 4822212
  • - Research Article

Bayesian Estimation of Different Scale Parameters Using a LINEX Loss Function

M. A. Mohammed | Sundus N. Al-Aziz | ... | Emad E. Mahmoud
Computational Intelligence and Neuroscience
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