Abstract Machine learning (ML) algorithms, such as neural networks, random forest, and
more recent deep learning, are illustrating their utility for waste recycling. The increasing …

Interval Type-2 Fuzzy Logic Systems (IT2 FLSs) have shown popularity, superiority, and
more accuracy in performance in a number of applications in the last decade. This is due to …

In this paper, Fuzzy logic and Neural Network approaches for predicting financial stock price
are investigated. A study of a knowledge based system for stock price prediction is carried …

The operations of the prediction of stock price are complex and risky due to fluctuation in the
stock market because of the vagueness, incompleteness, and uncertainty of the information …

This paper presents customer loyalty analysis and relationship management by
incorporating fuzzy logic approach. We employ a case study of Jane and Juliet supermarket …

Fuzzy Inference engine is an important part of reasoning systems capable of extracting
correct conclusions from approximate data. Among the many different types of inference …

Earthquakes are one of the most destructive natural phenomena which consist of rapid
vibrations of rock near the earth's surface. Because of their unpredictable occurrence and …

Type-1 fuzzy inference systems have shown potential to improve clinician performance by
imitating human thought processes in complex circumstances and accurately executing …

Increase of population and growing of societal and commercial activities with limited land
available in a modern city leads to construction up of tall/high-rise buildings. As such, it is …