Heat detectors are the best ones for detecting flame fires. Unlike other types of fire detectors,
heat detectors can be used in polluted and aggressive environments. They are resistant to …

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 …

This chapter compares fuzzy-machine learning algorithms for predicting fire outbreaks using
temperature, smoke, and flame datasets. The datasets are preprocessed using interval type …

Network analysis has emerged as a powerful research approach, breaking down
disciplinary barriers to examine intricate relationships across various fields. By depicting …

State-of-the-art algorithms are competitive, because they get the most out of available
resources. Metaheuristic algorithms solve optimization problems from a search space. The …

Determining the best parameters of the membership functions (MFs) in developing interval
type-2 fuzzy logic controller (IT2FLC) is always difficult and complex because of the …

Healthcare systems need to overcome the high mortality rate associated with cardiovascular
disease and improve patients' health by using decision support models that are both …

The article presents the results of the analysis of the literature on domestic and foreign
experience in the field of design and construction. The work is devoted to topical issues of …

This paper compares the effectiveness of Interval Type 2 Fuzzy Logic (IT2FL) and Machine
Learning (ML) models in addressing real-world challenges. It employs four non-parametric …

State-of-the-art algorithms are competitive, because they get the most out of available
resources. Metaheuristic algorithms solve optimization problems from a search space. The …