Related Issues on Fuzzy Sets, Decision Making and Multiobjective Optimization

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 879

Special Issue Editors


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Guest Editor
Department of Business Management, National United University, No.1, Lienda, Miaoli 360301, Taiwan
Interests: data/text mining; performance analysis; multiple criteria deacision making; intelligent system; data envelopment analysis

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Guest Editor
Department of Intelligent Commerce, National Kaohsiung University of Science and Technology, No. 58, Shenzhong Rd., Yanchao Dist., Kaohsiung City 82444, Taiwan
Interests: decision making; data/text mining; risk management; financial accounting

Special Issue Information

Dear Colleagues,

The primary objective of this Special Issue is to foster collaboration and discourse between researchers and practitioners centred around the latest research endeavours. The intention is to cultivate innovative decision frameworks and computational models that can effectively navigate the pervasive uncertainty inherent in the realm of business. The Guest Editors envision this platform as a conduit for disseminating cutting-edge advancements spanning the entire spectrum of business operational domains. This encompasses contributions ranging from the bedrock of theoretical underpinnings to tangible real-world applications. This Special Issue places a particular emphasis on not only the art of decision making itself but also the implications thereof for both the academic and practitioner communities.

This Special Issue will encompass a diverse array of topics. Topics of interest for this Special Issue may include, but are not limited to, the following:

  • Computational models tailored to the exigencies of business operations.
  • Frameworks for decision making that underpin the tenets of sustainable business development.
  • Identifying barriers pertinent to the digitization and sustainability facets of business.
  • Harnessing the potential of AI, machine learning, and text mining to enhance managerial decision making.
  • Propounding computer-assisted algorithms or models conducive to facilitating advanced decision-making.
  • Explorations into other pertinent and interconnected domains within the business sphere.

We welcome contributions from all quarters that align with the thematic purview of this Special Issue. Your expertise and insights are pivotal to engendering a rich tapestry of discussions and discoveries.

Dr. Ming-Fu Hsu
Dr. Sin-Jin Lin
Guest Editors

Manuscript Submission Information

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Keywords

  • fuzzy/rough set
  • artificial intelligence
  • multiple criteria decision making
  • multiobjective optimization
  • decision making/analysis
  • data/text mining

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Published Papers (1 paper)

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Research

13 pages, 246 KiB  
Article
Disturbing Fuzzy Multi-Attribute Decision-Making Method with If Weight Information Is Disturbing Fuzzy Number
by Li Li and Jin Yang
Mathematics 2024, 12(8), 1225; https://doi.org/10.3390/math12081225 - 19 Apr 2024
Viewed by 613
Abstract
Fuzzy multi-attribute decision-making is a hot research topic in which weight information is one of the conditions for forming a complete decision-making model, and it is also an important factor affecting the decision result. In most fuzzy multi-attribute decision-making problems, the weight information [...] Read more.
Fuzzy multi-attribute decision-making is a hot research topic in which weight information is one of the conditions for forming a complete decision-making model, and it is also an important factor affecting the decision result. In most fuzzy multi-attribute decision-making problems, the weight information is often given in the form of real numbers. However, in real life, the weight information may not be suitable for specific numerical representation, or we cannot accurately determine the weight information. Therefore, it is very important to use fuzzy numbers to represent weight information. In this paper, we study the problem of disturbing fuzzy multi-attribute decision-making in which the attribute weight, decision-maker weight, and attribute information are given in the form of disturbing fuzzy numbers. Firstly, a new disturbing fuzzy integration operator, namely the disturbing fuzzy ring and multiplication aggregation (DFRMA) operator, is proposed, and its characteristics of closure, monotonicity, and boundary are studied. Then, the general steps of the disturbing fuzzy multi-attribute decision method based on the disturbing fuzzy ring and multiplication aggregation (DFRMA) operator are given, which include the single decision step and group decision step. Finally, an example is given to illustrate the practicability and effectiveness of the method. Full article
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