Fuzzy Optimization and Decision Making
Springer New York
United States
journal
SJR by Edition
Subject Categories
- Artificial IntelligenceQ1
- LogicQ1
- SoftwareQ1
Areas: Computer Science · Mathematics
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1573-2908, 1568-4539
SJR Best Quartile
Q1
Region
Northern America
Citations per Document (2 years)
8.25
References per Document
29.37
Coverage
2002-2026
Scope
The key objective of Fuzzy Optimization and Decision Making is to promote research and the development of fuzzy technology and soft-computing methodologies to enhance our ability to address complicated optimization and decision making problems involving non-probabilitic uncertainty. The journal will cover all aspects of employing fuzzy technologies to see optimal solutions and assist in making the best possible decisions. It will provide a global forum for advancing the state-of-the-art theory and practice of fuzzy optimization and decision making in the presence of uncertainty. Any theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems is welcome. The goal is to help foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal will provide a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems.
Metrics from SCImago Journal Rank 2025. View on SCImago