Forest fire disasters are recently getting lots of attention due to climate change globally.
Globally, climate changes are rapidly changing the fire patterns on Earth. Effective fire …

Nowadays, various uncertain information can be found in real world, and it is imperative to
explore viable countermeasures for uncertain decision-making problems. Hesitant fuzzy set …

Forest fires are fires caused in the forest due to environmental condition like dryness if
continued for a very long time can cause it to become massive which is very difficult to …

Forest fires are an abrupt and highly destructive meteorological disaster that can occur in all
regions of the world, resulting in significant ecological, economic and social losses …

This article proposes a new fuzzy logistic regression framework with high classification
performance against imbalance and separation while kee** the interpretability of classical …

We propose conducting locally differentially private (LDP) estimation with the aid of a small
amount of public data to enhance the performance of private estimation. Specifically, we …

The study's objective is to assess how well the decision tree algorithm and the logistic
regression algorithm classify photographs of fire and smoke. A total of 4,000 photos are …

The three-way decision approach is an emerging paradigm in the design of tools for data
mining and machine learning. It switches from a two-way classification (“negative” and …

Shapley values have become one of the go-to methods to explain complex models to end-
users. They provide a model agnostic post-hoc explanation with foundations in game theory …

In this paper, we propose a novel tree-based algorithm named Extrapolated Random Tree
for Regression (ERTR) that adapts to arbitrary smoothness of the regression function while …