Mathematical Problems in Engineering

Data-Driven Fuzzy Multiple Criteria Decision Making and its Potential Applications 2022


Publishing date
01 Jan 2023
Status
Published
Submission deadline
26 Aug 2022

Lead Editor
Guest Editors

1Beijing University of Technology, Beijing, China

2University of Greenwich, Greenwich, UK


Data-Driven Fuzzy Multiple Criteria Decision Making and its Potential Applications 2022

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’ preferences. 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 data or unstructured data such as text, audio, and pictures, and 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.

The aim of this Special Issue is to collate original research articles and review 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
  • Data-driven fuzzy MCDM in environmental evaluation
  • Data-driven fuzzy MCDM in consumer behavior analysis
  • Data-driven fuzzy MCDM in organisational behavior
  • Data-driven fuzzy MCDM in risk measure
  • Data-driven fuzzy MCDM in innovation management
  • Data-driven fuzzy MCDM in medical health management
  • Data-driven fuzzy MCDM in blockchain management
  • Data-driven fuzzy MCDM with knowledge-based systems

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 8508273
  • - Research Article

Tunnel Security Management Based on Association Rule Mining under Hadoop Platform

Qun Wang | Ting Xue
  • Special Issue
  • - Volume 2022
  • - Article ID 8958154
  • - Research Article

[Retracted] A Method of Image Semantic Segmentation Based on PSPNet

Chengzhi Yang | Hongjun Guo
  • Special Issue
  • - Volume 2022
  • - Article ID 8194513
  • - Research Article

Analysis of Competition Relationship of Multiairport Regional Airport Market Based on Deep Learning

Wei Wei | He Jing
  • Special Issue
  • - Volume 2022
  • - Article ID 6753671
  • - Research Article

Dynamic Web Page Graphic Design Method for Internet Big Data Information System

Dan Tao
  • Special Issue
  • - Volume 2022
  • - Article ID 4793555
  • - Research Article

Image Recognition for Garbage Classification Based on Transfer Learning and Model Fusion

Wei Liu | Hengjie Ouyang | ... | Wei Hu
  • Special Issue
  • - Volume 2022
  • - Article ID 2227169
  • - Research Article

Optimization of College English Teaching Plan under the Background of Micro-Video and Big Data

Xue Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 9019339
  • - Research Article

[Retracted] Smart Teaching Design Mode based on Machine Learning and its Effect Evaluation

Qianqian Su
  • Special Issue
  • - Volume 2022
  • - Article ID 5944954
  • - Research Article

Sentiment Analysis of Tourist Scenic Spots Internet Comments Based on LSTM

Maozheng Fu | Ling Pan
  • Special Issue
  • - Volume 2022
  • - Article ID 5856069
  • - Research Article

[Retracted] The Identification and Dissemination of Creative Elements of New Media Original Film and Television Works Based on Review Text Mining and Machine Learning

Xiaonan Yu
  • Special Issue
  • - Volume 2022
  • - Article ID 5795021
  • - Research Article

Optimization of Network Home Management System Based on Big Data

Wei Shan
Mathematical Problems in Engineering
 Journal metrics
See full report
Acceptance rate11%
Submission to final decision118 days
Acceptance to publication28 days
CiteScore2.600
Journal Citation Indicator-
Impact Factor-

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.