Fuzzy Optimization and Modeling Journal, established in 2020, is a double-blind, peer-reviewed, scholarly open access journal, owned and managed by Islamic Azad University, Iran and published by OICC Press, UK. The journal publishes original research, methodology, case study and algorithmic developments articles that lead to the novel knowledge, innovation and understanding of the field of uncertain optimization and modeling problems.
The journal will consider papers for publication in the following areas:
Theory and Methodology papers: Papers extending uncertainty theory in the context of fuzzy, stochastic and interval modeling and optimization.
Case Study papers: Papers describing the solution to an actual problem arising in uncertain optimization and modeling problems.
Algorithmic Developments: Papers establishing computational complexity in presenting new algorithms to solve uncertain optimization problems.
The journal scope includes but is not restricted to the following areas:
- Analytic hierarchy process (AHP)
- Approximation Algorithms
- Artificial Intelligence
- Data envelopment analysis (DEA)
- Data mining
- Distributed Decision Making
- Dynamic Programming
- Game Theory
- Genetic Algorithms
- Goal programming
- Group Decision Making
- Heuristics Algorithms
- Integer and Binary Mathematical Programming
- Linear Programming
- Mathematical programming
- Multi-Attribute Decision Making
- Multi-Criteria Decision Making
- Neural Networks
- Optimal Control Theory
- Optimization
- Queuing Theory
- Shortest Path Problem
- Transportation Problem