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Mathematics | Fuzzy Optimization and Decision Making - incl. option to publish open access

Fuzzy Optimization and Decision Making

Fuzzy Optimization and Decision Making

A Journal of Modeling and Computation Under Uncertainty

Editor-in-Chief: Shu-Cherng Fang
Managing Editor: Baoding Liu

ISSN: 1568-4539 (print version)
ISSN: 1573-2908 (electronic version)

Journal no. 10700

Springer Open Access
  • Covers all aspects of the theory and practice of fuzzy optimization and decision making in the presence of uncertainty.
  • Examines theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems.
  • Publishes papers in the following areas: modeling, theoretical developments, algorithmic developments, systems development and applications.

Fuzzy Optimization and Decision Making has been accepted for Science Citation Index Expanded and Current Contents/Engineering Computing and Technology and will first appear with an Impact Factor in the 2009 Journal Citation Reports (JCR), published in June 2010.

Fuzzy Optimization and Decision Making covers all aspects of the theory and practice of fuzzy optimization and decision making in the presence of uncertainty. It examines theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems. The journal publishes papers in the following areas: modeling, theoretical developments, algorithmic developments, systems development and applications.

This journal promotes 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-probabilistic uncertainty. It helps foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal provides a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems.

Officially cited as: Fuzzy Optim Decis Making

Related subjects » Artificial Intelligence - Mathematics - Operations Research & Decision Theory - Probability Theory and Stochastic Processes

Impact Factor: 1.0 (2013) * 

Journal Citation Reports®, Thomson Reuters

Abstracted/Indexed in 

Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, Zentralblatt Math, Google Scholar, EBSCO, CSA, ProQuest, Academic OneFile, ACM Digital Library, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, Earthquake Engineering Abstracts, ECONIS, EI-Compendex, Gale, Mathematical Reviews, OCLC, Referativnyi Zhurnal (VINITI), SCImago, STMA-Z, Summon by ProQuest

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  • Aims and Scope

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    Fuzzy Optimization and Decision Making has been accepted for Science Citation Index Expanded and Current Contents/Engineering Computing and Technology and will first appear with an Impact Factor in the 2009 Journal Citation Reports (JCR), published in June 2010.

    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.

    The journal will consider papers for publication in the following areas:

    Modeling: Papers formulating problems involving uncertainty as a mathematical model in the context of fuzzy optimization and decision making. Often these papers will address the suitability, validity and advantages of using fuzzy technologies to treat real-life problems.
    Theoretical Developments: Papers establishing mathematical theory on fundamental issues. Often these papers will address the existence and properties of fuzzy optimal solutions or fuzzy optimal decisions.
    Algorithmic Developments: Papers presenting solution methods and/or studying their computational complexity. Often these papers will propose new algorithms to solve fuzzy optimization and decision making problems in an effective and efficient manner.
    Systems Development and Applications: Papers describing the development of a software/ hardware system and documenting the benefits achieved in practical application. The papers often deal with innovative system implementations and applications for which no previous solutions exist or for which improvement is achieved over previous solutions.

    Manuscript submitted to the journal may cover one or several areas. The journal will also publish invited "state-of-the-art" surveys on specific topics. The research and practice of fuzzy optimization and decision making for special interests groups and special geographic locations will be accommodated by publishing special issues with guest editors.

    Officially cited as: Fuzzy Optim Decis Making
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