Decision Analysis and Multi-Criteria Decision Making

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Logic".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2735

Special Issue Editors

Decision Sciences Institute, Fuzhou University, Fuzhou, China
Interests: decision theory and methods; emergency decision making

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Co-Guest Editor
Department of Computer Science, University of Jaen, 23071 Jaen, Spain
Interests: decision theory and methods; consensus-reaching processes; decision support systems
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Co-Guest Editor
Decision Sciences Institute, Fuzhou University, Fuzhou, China
Interests: data analysis and decision making; operations research and optimization; application of statistics and management

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Co-Guest Editor
School of Economics and Management, Yango University, Fuzhou, China
Interests: decision theory and methods; emergency decision making

Special Issue Information

Dear Colleagues,

Decision analysis and multi-criteria decision making have been proved to be powerful tools, which provide a rigorous framework to aid decision makers in identifying potential alternatives regarding multiple conflicting criteria and objectives and the making of high-quality decisions for complex and difficult real-world tasks or problems. In recent years, there has been a significant advancement in the field of decision analysis and multi-criteria decision making, leading to fruitful outcomes, especially in addressing complex, uncertain, and fuzzy decision problems.

The Special Issue on “Decision Analysis and Multi-Criteria Decision Making” aims to collect recent developments and findings in the area of decision analysis and multi-criteria decision making; both theoretical and application findings are welcomed. We hope that this Special Issue will enhance and expand the research on the related areas and provide potential challenges and future directions.

Potential topics and their applications include but are not limited to:

  • Advances in decision analysis and multi-criteria decision making, new approaches, and decision support systems;
  • Handling fuzzy information in multi-criteria decision making;
  • Large-scale group decision making;
  • Consensus reaching process;
  • Multi-criteria sorting;
  • Multi-objective optimization;
  • Data envelopment analysis (DEA);
  • Data analysis and decision making;
  • Intelligent decision making;
  • Applications of decision analysis and multi-criteria decision making to emergency decision making, early warning, carbon emission estimation, performance evaluation, supplier selection, and so on.

Dr. Liang Wang
Dr. Alvaro Labella
Dr. Yixin Lan
Dr. Zixin Zhang
Guest Editors

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. Axioms is an international peer-reviewed open access monthly 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 2400 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

  • handling fuzzy information in multi-criteria decision making
  • large-scale group decision making
  • consensus reaching process
  • multi-criteria sorting
  • multi-objective optimization
  • Data Envelopment Analysis (DEA)
  • data analysis and decision making
  • intelligent decision making

Published Papers (2 papers)

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Research

14 pages, 320 KiB  
Article
Using the Ordered Weighted Average Operator to Gauge Variation in Agriculture Commodities in India
by Sandeep Wankhade, Manoj Sahni, Cristhian Mellado-Cid and Ernesto Leon-Castro
Axioms 2023, 12(10), 985; https://doi.org/10.3390/axioms12100985 - 18 Oct 2023
Cited by 1 | Viewed by 1039
Abstract
Agricultural product prices are subject to various uncertainties, including unpredictable weather conditions, pest infestations, and market fluctuations, which can significantly impact agricultural yields and productivity. Accurately assessing and understanding price is crucial for farmers, policymakers, and stakeholders in the agricultural sector to make [...] Read more.
Agricultural product prices are subject to various uncertainties, including unpredictable weather conditions, pest infestations, and market fluctuations, which can significantly impact agricultural yields and productivity. Accurately assessing and understanding price is crucial for farmers, policymakers, and stakeholders in the agricultural sector to make informed decisions and implement appropriate risk management strategies. This study used the ordered weighted average (OWA) operator and its extensions as mathematical aggregation techniques incorporating ordered weights to capture and evaluate the factors influencing price variation. By generating different vectors related to different inputs to the traditional formulation, it is possible to aggregate information to calculate and provide a new view of the outcomes. The results of this research can help enhance risk management practices in agriculture and support decision-making processes to mitigate the adverse effects of price. Full article
(This article belongs to the Special Issue Decision Analysis and Multi-Criteria Decision Making)
21 pages, 1720 KiB  
Article
Optimizing Sugar Manufacturing: A Hybrid Simulation-Based Approach and MCDM for Efficient Decision Making
by Salahuddin Iskanderani, Omer Bafail and Mohammed Alamoudi
Axioms 2023, 12(10), 975; https://doi.org/10.3390/axioms12100975 - 17 Oct 2023
Viewed by 1254
Abstract
Efficient truck flow is essential for the efficient operation of a factory and the distribution of its products. This study demonstrated methods to improve truck loading times and overall efficiency at a major sugar manufacturing facility in the Middle East. The objective was [...] Read more.
Efficient truck flow is essential for the efficient operation of a factory and the distribution of its products. This study demonstrated methods to improve truck loading times and overall efficiency at a major sugar manufacturing facility in the Middle East. The objective was to reduce truck waiting times at loading units and increase capacity. The data were collected through questionnaires, observations, and interviews with stakeholders. A simulation software was employed to analyze truck activity at loading stations at the factory. Multi-criteria decision making (MCDM) tools, AHP and TOPSIS, addressed five primary criteria and nine sub-criteria to assist in identifying, evaluating, and ranking feasible solutions. The study suggested different utilization of the various factory loading platforms at different times of the day. The findings from this study emphasize the importance of simulation-based approaches supplemented with decision-making processes to improve efficiency in sugar manufacturing facilities that may have broader applications in the factories of other industries. The study highlights remarkable improvements in operational efficiency, as seen in Alternative 4 substantial 27.9% enhancement, resulting in cost savings and time efficiency. By implementing these findings, factories can enhance their truck flow management system, reduce waiting times, increase capacity utilization, optimize resource allocation, and improve overall efficiency. Full article
(This article belongs to the Special Issue Decision Analysis and Multi-Criteria Decision Making)
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