A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy
Nikolaos Tsakiridis, John B. Theocharis, George C. Zalidis · 2017
In this paper, we present DECO3RUM (Differential Evolution based Cooperative and Competing learning of Compact Rule-based Models), an evolutionary Mamdani Fuzzy Rule-based System for modeling problems. DECO3RUM follows the Genetic Cooperative Competitive Learning approach, and utilizes the Differential Evolution algorithm as its learning algorithm. A real world high dimensional dataset from the domain of soil science was considered to evaluate the ability of DECO3RUM to handle Big Data problems, where the number of features is significant. DECO3RUM was shown to statistically out-perform the most prevailing methodology used in soil spectroscopy, namely the Partial Least Squares Regression algorithm.