In this article, the prediction of COVID-19 based on a combination fractal theory and interval type-3 fuzzy logic is put forward. The dimension utilized to estimate time series geometrical complexity level, which in case applied problem. main aim utilizing for handling uncertainty decision-making occurring forecasting. hybrid approach formed by an model structured if then rules that utilize as ...

This paper presents a novel approach to identify the prediction interval associated with data using type-2 fuzzy logic systems support vector regression. For such purpose, constrained quadratic objective function is defined which then solved well-established programming approaches. Not only does output of system replicates measured value, but also it provides lower bound and upper for values. I...

We focus on the Ferrers property of fuzzy preference relations. We study the connection between the Ferrers property and fuzzy interval orders. A crisp total interval order is characterized by the Ferrers property of its strict preference relation. Also, a crisp preference structure is a total interval order if and only if its large preference relation satisfies the Ferrers property. For fuzzy ...

Airports and their related operations have become the major bottlenecks to entire air traffic management system, raising predictability, safety, environmental concerns. One of underpinning techniques for digital sustainable transport is airport ground movement optimization. Currently, real data made freely available majority aircraft at many airports. However, recorded not accurate enough due m...

A hybrid approach composed by different types of fuzzy systems, such as the Type-1 Fuzzy Logic System (T1FLS), Interval Type-2 Fuzzy Logic System (IT2FLS) and Generalized Type-2 Fuzzy Logic System (GT2FLS) for the dynamic adaptation of the alpha and beta parameters of a Bee Colony Optimization (BCO) algorithm is presented. The objective of the work is to focus on the BCO technique to find the o...