Review of The Meta-Heuristic Algorithms for Fuzzy Modeling in The Classification Problem
Nur Azieta Mohamad Aseri · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Classification is an important tool in today's world, where data is used to make all kinds of decisions in the government, economic, and medicine sectors.Classification is a tool that helps to make sense of the data and find patterns.The increasing size of data has led to more automated approaches as data sets have grown in size and complexity.Fuzzy system is seen as a good approach that can deal with this issue.The fuzzy system works based on implementing fuzzy logic and approximate reasoning.Fuzzy system works well on non-complex issues, but when applied to complex issues such as engineering or medical problems, the construction of the fuzzy system becomes complicated.Due to this, a method is needed where an automatic process to identify the fuzzy parameters is accomplished.There are various algorithms that can be applied to automate the fuzzy modeling.The goal of this study is to review the algorithms that can be applied to automate fuzzy modeling.Based on the literature,