Mathematical Problems in Engineering

Data-driven Fuzzy Multiple Criteria Decision Making and its Potential Applications


Publishing date
01 Oct 2020
Status
Closed
Submission deadline
12 Jun 2020

Lead Editor

1Beijing University of Technology, Beijing, China

2Harbin Engineering University, Harbin, China

3Thapar Institute of Engineering & Technology, Patiala, India

4Shanghai University, Shanghai, China

5University of Kent, Canterbury, UK

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

Data-driven Fuzzy Multiple Criteria Decision Making and its Potential Applications

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

Description

With the complexity of the socio-economic environment, today's decision-making is one of the most notable ventures, whose mission is to decide the best alternative under the numerous known or unknown criteria, such as “purchase of products”, “choice of hotels”, “identification of partners”, “technology adoption”, and so on. However, due to the limited knowledge base of decision makers and the dynamic changes of the objective environment, decision making becomes a very difficult and complex task. To address it completely, the multiple criteria decision making (MCDM) methods based on the fuzzy set theory and its extensions are developed under the different domains. These methods have tremendous advantages in terms of representation of uncertain information, aggregation of information, and description of decision makers’ preference. However, many current studies have been limited to analysis of the fuzzy MCDM theories, and there are only very limited studies focusing on their applications. Moreover, most application cases are based on virtual simulation data, which limits the practical application of fuzzy MCDM methods.

At present, with the development of data mining technologies, decision-making methods combining data mining and fuzzy MCDM are beginning to gain attention. These methods mine structured or unstructured data such as text, audio, and pictures, express the data in the form of fuzzy sets, and analyze the decision-making problems under certain scenarios by using the information aggregation operators and decision criteria. These methods combine data mining with fuzzy sets to form a new research paradigm, namely the data-driven fuzzy MCDM paradigm. This paradigm combines the respective advantages of data mining and fuzzy sets and promotes the application of the fuzzy MCDM method in practice. Therefore, further exploration of the data-driven fuzzy MCDM method is conducive to widely extract data value and enrich the fuzzy set theory; it is particularly valuable in applying the method to guide the actual decision-making.

This Special Issue aims to collate original research papers and research articles that report on recent advancements in data-driven fuzzy MCDM methods, techniques, and practical achievements in the broad field.

Potential topics include but are not limited to the following:

  • Data-driven fuzzy MCDM in:
    • supply chain and transportation management
    • environmental evaluation
    • consumer behavior analysis
    • risk measure
    • innovation management
    • medical health management
    • blockchain management
    • knowledge-based systems

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 8127096
  • - Research Article

Evolution of High-Value Patents in Reverse Innovation: Focus on Chinese Local Enterprises

Tie Wei | Tingting Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 8271621
  • - Research Article

CEO Media Exposure and Green Technological Innovation Decision: Evidence from Chinese Polluting Firms

Chen Wang | Yuanlin Hu | ... | Chenglin Miao
  • Special Issue
  • - Volume 2020
  • - Article ID 1823068
  • - Research Article

Evaluation of Multimodal Transport in China Based on Hesitation Fuzzy Multiattribute Decision-Making

Bing Han | Min Wan | Yu Zhou
  • Special Issue
  • - Volume 2020
  • - Article ID 2851840
  • - Research Article

Application of Multiattribute Decision-Making for Evaluating Regional Innovation Capacity

Yi Su | Dezhi Liang | Wen Guo
  • Special Issue
  • - Volume 2020
  • - Article ID 3075935
  • - Research Article

Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid

Qun Yu | Na Cao | ... | Yumin Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 7343716
  • - Research Article

Nonlinear Finite Volume Scheme Preserving Positivity for 2D Convection-Diffusion Equations on Polygonal Meshes

Bin Lan | Jianqiang Dong
  • Special Issue
  • - Volume 2020
  • - Article ID 9832579
  • - Research Article

New Tseng-Degree Gradient Method in Variational Inequality Problem

Zhuang Shan | Lijun Zhu | ... | Haicheng Wei
  • Special Issue
  • - Volume 2020
  • - Article ID 1816028
  • - Research Article

An Approach to Selection of Agricultural Product Supplier Using Pythagorean Fuzzy Sets

Lina Dai | Shizhen Bai
  • Special Issue
  • - Volume 2020
  • - Article ID 2901210
  • - Research Article

Fuzzy Covering-Based Three-Way Clustering

Dandan Yang
  • Special Issue
  • - Volume 2020
  • - Article ID 5391940
  • - Research Article

Research on Evaluating Algorithms for the Service Quality of Wireless Sensor Networks Based on Interval-Valued Intuitionistic Fuzzy EDAS and CRITIC Methods

Shihui Li | Bo Wang
Mathematical Problems in Engineering
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Acceptance to publication34 days
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