Computational Intelligence and Neuroscience

Multi-Objective Intelligent Decision-Making Methods Driven by Big Data


Publishing date
01 Jun 2022
Status
Published
Submission deadline
04 Feb 2022

Lead Editor

1Beijing Jiaotong University China, Beijing, China

2Cairo University, Cairo, Egypt

3Lakehead University, Ontario, Canada


Multi-Objective Intelligent Decision-Making Methods Driven by Big Data

Description

The rapid development and application of emerging technologies in the mobile Internet environment (e.g., Internet of Things, cloud computing, artificial intelligence, augmented/virtual reality, Industry 4.0, etc.) has given rise to new business models as well as new industries. This trend has been injecting new vitality into social and economic life, further enriching and expanding the field of big data application innovation and bringing many new and important topics for both academia and practitioners. Data-driven management and decision-making present characteristics such as high-frequency, real-time, deep customization, full-cycle immersive interaction, cross-organizational integration, and multi-subject decision-making.

In the era of big data, the massive amount of data generated by every industry is ultra-high dimension, which requires innovative solutions to discover the required patterns. Solutions based on big data analysis and intelligent computing are increasingly used to reduce the complexity and cognitive burden of processing such large amounts of data. Specifically, the bio-inspired optimization algorithms and computational neuroscience algorithms are increasingly proving to be optimal solutions for many complex problems.

This Special Issue focuses on data-driven management and decision making in multidisciplinary cooperation research in management, information, mathematics, science, and medicine, focusing on the theoretical paradigm of decision making driven by bio-inspired and computational neuroscience algorithms applied to multi-objective data, especially big data. We aim to provide a forum for discussion on data-driven multi-objective decision-making studies based on these new emerging intelligent algorithms. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Explainable multi-objective decision making
  • Applications of multi-objective decision making
  • Multi-objective decision-making methods and applications
  • Multi-criteria decision-making methods and applications
  • Multi-attribute decision-making methods and applications
  • Shifting paradigms and theoretical extensions of new decision-making paradigms
  • Bio-inspired algorithms for intelligent decision making (e.g., Genetic Bee Colony (GBC) Algorithm, Fish Swarm Algorithm (FSA), Cat Swarm Optimization (CSO), Whale Optimization Algorithm (WOA), Artificial Algae Algorithm (AAA), Elephant Search Algorithm (ESA), Chicken Swarm Optimization Algorithm (CSOA), Moth flame optimization (MFO), and Grey Wolf Optimization (GWO) algorithm)
  • Computational modeling techniques from systems neuroscience, cognitive neuroscience, computational/theoretical neuroscience, cognitive science, and cognitive psychology to model the neural mechanisms responsible for perception, cognition, and behavior applied to intelligent decision making
  • Evolutionary algorithms for autonomous agents and multi-agent systems
  • Reinforcement learning for multi-objective decision making
  • Multi-objective game theory
  • Multi-objective expert systems and decision support systems
  • Neuroscience and cognitive science (e.g., neural coding, brain-computer interfaces)
  • Social aspects of intelligent decision making (e.g., fairness, privacy, interpretability)

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9761013
  • - Retraction

Retracted: A Data-Driven Control Strategy for Urban Express Ramp

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9836784
  • - Retraction

Retracted: Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9878102
  • - Retraction

Retracted: A DSGE Decision Model for Investigating the LPR Transmission Effect

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9780743
  • - Retraction

Retracted: Modeling on Social Health Literacy Level Prediction

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9815690
  • - Retraction

Retracted: Supply Chain Decision Analysis of Community E-Commerce Platform under Different Power Structures: Considering the Influence of Value Cocreation

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9878132
  • - Retraction

Retracted: Intelligent Control of Agricultural Irrigation through Water Demand Prediction Based on Artificial Neural Network

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9831926
  • - Retraction

Retracted: Cloud Computing Load Balancing Mechanism Taking into Account Load Balancing Ant Colony Optimization Algorithm

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9896475
  • - Retraction

Retracted: Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9834689
  • - Retraction

Retracted: Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2023
  • - Article ID 9819586
  • - Retraction

Retracted: A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value

Computational Intelligence and Neuroscience

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