This paper presents a method for creating Forex market predictive models using multi-agent
and fuzzy systems, which have the objective of simulating the interactions that provoke …

This research aims to design an innovative fuzzy logic auto-tuning PD algorithm to control
the temperature in a baby Incubator. The proposed Fuzzy-PD method combines fuzzy logic …

A fuzzy rule generation method which applies Dempster–Shafer theory (DST) to fuzzy
inference systems is proposed. The sample data located in the same fuzzy input subspace …

Abstract Association Rule Mining (ARM) is one of the most significant and active research
areas in data mining. Recently, Whale Optimization Algorithm (WOA) has been successfully …

In this study, the authors conducted an analysis of the quality of fiber optic network
maintenance based on attenuation value and maintenance time using fuzzy Mamdani logic …

Tobacco is an agricultural product that uses leaves to be processed into pesticides,
medicines and cigarettes. Tobacco quality is determined by plant maintenance and reduced …

The credibility of Computer-aided breast cancer diagnostic systems' relies profoundly upon
the accuracy of the models correlating the various enigmatic descriptors to the correct class …

This blog explores the innovative intersection of evolutionary algorithms and machine
learning, shedding light on how the principles of natural selection and genetic evolution can …

In this paper, a Sugeno type fuzzy system based on the fuzzy clustering has been developed
for a variety of datasets. The number of rules for each dataset is based on the optimum …