Decision Making and Optimization Under Uncertainty
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: 10 November 2025 | Viewed by 63
Special Issue Editor
Special Issue Information
Dear Colleagues,
In an increasingly complex and dynamic world, decision-making and optimization under uncertainty have become critical areas of research across various disciplines, including operations research, management science, engineering, economics, and artificial intelligence. Uncertainty arises from incomplete information, unpredictable environments, and stochastic processes, posing significant challenges to traditional decision-making frameworks. This Special Issue aims to explore innovative methodologies, models, and applications that address these challenges, providing robust and adaptive solutions for real-world problems.
This Issue will feature cutting-edge research on topics such as stochastic optimization, robust decision-making, risk analysis, scenario planning, and machine learning techniques for uncertainty quantification. Contributions may also cover applications in supply chain management, financial planning, healthcare, energy systems, and climate change mitigation, among others. By bridging theory and practice, this Special Issue seeks to advance our understanding of how to make informed, resilient decisions in the face of uncertainty.
We invite researchers and practitioners to submit original papers that offer theoretical insights, algorithmic advancements, or practical case studies. The goal is to foster interdisciplinary collaboration and highlight emerging trends that can shape the future of decision-making and optimization in uncertain environments.
Dr. Zhongming Wu
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
- decision-making
- operations research
- stochastic optimization
- machine learning
- portfolio optimization
- risk analysis
- data analysis
- uncertainty
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
