Aims and Scope

Fuzzy Optimization and Modeling is an international journal devoted to high-level pure and applied research on all aspects of optimization and decision making models. All papers published in Fuzzy Optimization and Modeling are critically refereed according to international standards. Any paper will either be accepted (possibly with minor revisions) either submitted to another evaluation (after a major revision) or rejected. Every effort will be made by the Editorial Board to ensure a first answer concerning a submitted paper within two months, and a final decision in a period of time not exceeding four months.

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

Theory and Methodology papers: Papers formulating problems involving uncertainty as a mathematical model in the context of fuzzy optimization and papers addressing the existence and properties of fuzzy optimal solutions and decisions.

Case Study papers: Papers describing the solution to an actual problem arising in optimization problems.

Algorithmic Developments:  Papers presenting solution methods and/or studying their computational complexity. Often these papers will propose new algorithms to solve fuzzy optimization problems in an effective and efficient manner.

The scope of Fuzzy Optimization and Modeling is suggested by the following alphabetical list of keywords:

  • Analytic hierarchy process
  • Approximation Algorithms
  • Customer relationship management
  • Data envelopment analysis
  • Data mining
  • Distributed decision making
  • Dynamic programming
  • Enterprise resource management
  • Forecasting
  • Game theory
  • Genetic Algorithms
  • Goal programming
  • Group decision making
  • Heuristics
  • Integer and binary programming
  • Intelligent controls and robots
  • Linear programming
  • Markov processes
  • Mathematical programming
  • Military decision making
  • Multi-attribute utility theory
  • Multi-criteria decision making
  • Network theory
  • Neural networks
  • Optimal control theory
  • Optimization
  • Probability models
  • Project management
  • Quality management and systems
  • Queuing theory
  • Resource management and allocation
  • Risk analysis and management
  • Socioeconomic system simulation
  • Statistical process control