Applications of Fuzzy Optimization and Decision Making

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: 28 February 2025 | Viewed by 1212

Special Issue Editor


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Guest Editor
Department of Statistics and Operational Research, University of Cádiz, 11003 Cádiz, Spain
Interests: statistics and operations research; fuzzy optimization; decision making

Special Issue Information

Dear Colleagues,

Fuzzy optimization and decision-making techniques provide a flexible and robust approach to solving complex real-world problems that involve uncertainty, imprecision, and incomplete information. 

Fuzzy sets are a mathematical model of uncertainty, and fuzzy mathematics can be used to describe the world. Since computing is widespread in all sciences, a pertinent research question is how fuzzy sets and computing can be used to better explain and approach the real world. Quantitative quality or efficiency measurement has become the most effective foundation for developing and enhancing policies over the last few years.

Fuzzy optimization and decision-making techniques can all improve decision-making processes, and they have been widely applied in various fields, including engineering, industry, management, economics, business, and environmental science. These fields are successful due to the creation of numerous novel algorithms, but formulating decision-making problems and applying optimization techniques to support decisions are particularly complex in real-world issues, and many new challenges have recently emerged. 

This Special Issue, "Applications of Fuzzy Optimization and Decision Making," presents the latest research and developments in fuzzy optimization and decision-making techniques for various engineering, science, and management applications. This Special Issue aims to serve as a forum for exchanging ideas and knowledge among researchers and practitioners worldwide, inspiring new research directions and applications in this field. Both original research pieces and review papers are welcome to be submitted to this Special Issue. 

Dr. Maria Carmen Sánchez-Gil
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mathematical modeling
  • decision-making
  • fuzzy optimization
  • fuzzy computing
  • optimization applications
  • fuzzy sets
  • hybrid fuzzy optimization
  • fuzzy ranking

Published Papers (1 paper)

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18 pages, 2354 KiB  
Article
Fuzzy Optimization Model for Decision-Making in Single Machine Construction Project Planning
by Nilthon Arce Fernández, Flabio Gutiérrez Segura, Manuel Emilio Milla Pino, Jose Manuel Palomino Ojeda, Alfredo Lázaro Ludeña Gutiérrez and River Chávez Santos
Mathematics 2024, 12(7), 1088; https://doi.org/10.3390/math12071088 - 4 Apr 2024
Viewed by 828
Abstract
Scheduling for a construction project with a limited number of machines is a critical and well-studied problem. Most studies assume that task processing times are exact; in practice, delays frequently occur, rendering the initial work plan invalid. Therefore, adaptability is crucial to the [...] Read more.
Scheduling for a construction project with a limited number of machines is a critical and well-studied problem. Most studies assume that task processing times are exact; in practice, delays frequently occur, rendering the initial work plan invalid. Therefore, adaptability is crucial to the success of a project. This work introduces a fuzzy optimization model for the planning of construction projects executed simultaneously and having only one backhoe. The model assumes imprecise task processing times, represented by triangular fuzzy sets, that accept delays up to a permitted degree of tolerance. The model solution obtains a fuzzy work plan. This is a robust plan that supports incidents (delays). A method to apply the model was created. The fuzzy model can help construction companies reduce delays in the delivery of their projects and avoid excessive penalties. The model was implemented in the CPLEX solver, which can quickly obtain an optimal solution for small and medium instances. For large instances, the model must be solved with metaheuristics. This scientific contribution is important for future work since it consists of the application of fuzzy optimization in a specific area of civil engineering. Full article
(This article belongs to the Special Issue Applications of Fuzzy Optimization and Decision Making)
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