Decision Making in Uncertain Environments via Advanced Analytical Methods
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 2797
Special Issue Editors
Interests: engineering economics; project management; financial engineering; fuzzy logic; quantitative methods; project appraisal; crisis management; performance management
Interests: group decision making; linguistic decision making; fuzzy set; multi-criteria decision making
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Decision making is a process of choosing a particular direction or course that involves a combination of directions among a finite or non-finite set of alternatives. Decision making is not only applicable in many fields, but it is also a necessary condition to achieve reliable results in most applied sciences (finance/economics, engineering, management, health sciences, environmental sciences, etc.). Modern and efficient tools in the decision-making process are advanced analytical methods, especially in environments with inherent uncertainty. In these constantly evolving environments, there are multiple determinants of decisions, and their weights are vague and changing. For this reason, deploying advanced analytical methods is considered to be effective and efficient in the scientific field of decision analysis. These methods may include (indicatively) the following:
- Fuzzy Sets and Fuzzy Logic
- Fuzzy arithmetic;
- Fuzzy statistics;
- Fuzzy probabilities;
- Fuzzy multi-criteria analysis;
- Fuzzy regression.
- Scenario Analysis
- Exploratory scenario analysis;
- Predictive scenario analysis (time series, regression analysis, etc.);
- Qualitative scenario analysis (delphi method, narrative scenarios, etc.);
- Quantitative scenario analysis (probabilistic scenarios, stress testing, etc.).
- Decision Analysis
- Decision trees;
- Utility theory.
- Statistical Inference
- Hypothesis testing;
- Bayesian inference;
- Mixed methods.
During the decision-making process, these methods can be used individually or in combination depending on the nature, complexity, and duration of the problem under examination and its effects on its immediate environment. In this Special Issue, authors can publish articles in the following subjects (indicatively):
- Finance and Investments;
- Business Administration;
- Performance Management;
- Revenue Management;
- Managerial Accounting;
- Engineering Risk Analysis;
- Project Management;
- Environmental Planning;
- Blue Economy;
- Maritime Transport Systems;
- Sustainable Development Goal (SDG) Achievement;
- Crisis/Disaster Management;
- Innovation and Technology Management;
- Public Policy and Administration;
- Education and Academia;
- Health Sciences.
Dr. Konstantinos A. Chrysafis
Dr. Zhen Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- decision making
- fuzzy sets and fuzzy logic
- scenario analysis
- decision analysis
- statistical inference
- mixed methods
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