Mathematical Problems in Engineering

Computational Intelligence in Complex Decision Making


Publishing date
01 May 2021
Status
Closed
Submission deadline
18 Dec 2020

Lead Editor

1Ningbo University, Ningbo, China

2Lithuanian Institute of Agrarian Economics, Vilnius, Lithuania

3Zhejiang Gongshang University, Hangzhou, China

This issue is now closed for submissions.
More articles will be published in the near future.

Computational Intelligence in Complex Decision Making

This issue is now closed for submissions.
More articles will be published in the near future.

Description

In recent years, there has been a growing interest in building intelligent decision-aid tools for engineering and many fields of mathematics in uncertain environments, which include various kinds of information that are incomplete, imprecise, and vague.

Uncertainties make the decision making process more difficult, including the determining and selection of the index system, weight, and the fusion of decision information. Computational intelligence technology (including fuzzy logic, social networks, etc.) is a supplement to the existing traditional methods, which shows great potential in solving decision-making problems in uncertain and unpredictable environment.

This Special Issue aims to address the developments and applications of computational intelligence in complex decision making for fields of manufacturing and engineering. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Fuzzy analysis
  • Fuzzy logic
  • Decision support systems
  • Social networks
  • Social networks
  • Uncertain decision making
  • Complex information fusion
  • Complex information operation

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6688750
  • - Research Article

A Consumer Behavior Prediction Model Based on Multivariate Real-Time Sequence Analysis

Lin Guo | Ben Zhang | Xin Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 6664413
  • - Research Article

Prediction of Short-Time Rainfall Based on Deep Learning

Dechao Sun | Jiali Wu | ... | Hong Xinhua
  • Special Issue
  • - Volume 2021
  • - Article ID 6632960
  • - Research Article

Improvement of CT Target Scanning Quality for Pulmonary Nodules by PDCA Management Method

Dongquan Liu | Shaojun Zhu | ... | Fangqin Fei
  • Special Issue
  • - Volume 2021
  • - Article ID 6688110
  • - Research Article

Ecological Security Evaluation of Marine Ranching Based on DEMATEL-Fuzzy Comprehensive Evaluation

Yuan-Wei Du | Jing Fang | Ping Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 6670196
  • - Research Article

A Fuzzy-Decomposition Grey Modeling Procedure for Management Decision Analysis

Jianhong Guo | Che-Jung Chang | ... | Kun-Peng Yu
  • Special Issue
  • - Volume 2021
  • - Article ID 6684711
  • - Research Article

Research and Development Investment Combination Forecasting Model of High-Tech Enterprises Based on Uncertain Information

Qi Wei | Min Chen | Chuan-yang Ruan
  • Special Issue
  • - Volume 2021
  • - Article ID 6687229
  • - Research Article

Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China

Haidong Zhong | Jinhui Zhang | ... | Wen Zheng
  • Special Issue
  • - Volume 2021
  • - Article ID 6622064
  • - Research Article

Production-Use Water Pricing and Corporate Water Use in China: An Evolutionary Game Theory Model

Yao Xiao | Qiao Peng | ... | Hongye Xiao
  • Special Issue
  • - Volume 2021
  • - Article ID 6655477
  • - Research Article

Probabilistic Hesitant Fuzzy Methods for Prioritizing Distributed Stream Processing Frameworks for IoT Applications

Zhimin Lin | Chao Huang | Mingwei Lin
  • Special Issue
  • - Volume 2020
  • - Article ID 6671001
  • - Research Article

Decision-Making Based on q-Rung Orthopair Fuzzy Soft Rough Sets

Yinyu Wang | Azmat Hussain | ... | Yun Jin
Mathematical Problems in Engineering
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.