Fuzzy Optimization and Decision Making

Aims & 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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	7.4
2024	4.80

SJR (SCImago Journal Rank)

Year	Value
2024	2.171

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	68

Journal Rank

Year	Value
2024	1232

Journal Citation Indicator

Year	Value
2024	594

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Generalized OWA Aggregation Operators

  Citation: 475

  Authors: Ronald R.

• Computing with words in decision making: foundations, trends and prospects

  Citation: 419

  Authors: F., S., F., E.

• Existence and uniqueness theorem for uncertain differential equations

  Citation: 385

  Authors: X., B.

• A survey of credibility theory

  Citation: 366

  Authors: Baoding

• Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making

  Citation: 361

  Authors: Zeshui

• A VIKOR-based method for hesitant fuzzy multi-criteria decision making

  Citation: 280

  Authors: Huchang, Zeshui

• Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group

  Citation: 270

  Authors: Zeshui, Ronald R.

• Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment

  Citation: 250

  Authors: Zeshui, Wei

• On Compatibility of Interval Fuzzy Preference Relations

  Citation: 222

  Authors: Zeshui

• Uncertain random programming with applications

  Citation: 204

  Authors: Yuhan

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