In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …

This paper presents a review of quantum-inspired population-based metaheuristics.
Quantum-inspired algorithms were born when there were no quantum computers; they …

This paper presents a model based on mediative fuzzy logic in this COVID-19 pandemic.
COVID-19 (novel coronavirus respiratory disease) has become a pandemic now and the …

Mediative fuzzy logic is an approach able to deal with inconsistent information providing a
solution when contradiction exists. The aim of this paper is to design an expert system based …

This paper presents an initial proposal for the utilization of mediative fuzzy logic in control
problems. Mediative fuzzy logic (MFL) was originally proposed with the idea of modeling …

The notion of fuzzy set theory has not so far been districted over medical diagnosis. There
are some added applications, for example, in image processing, pattern identification, and …

The purpose of multi-objective optimization is to simultaneously optimize several objective
functions that are usually in conflict with each other. An acceptable solution is one that can …

The article presents modeling of daily average ozone level prediction by means of neural
networks, support vector regression and methods based on uncertainty. Based on data …

Recently, an intuitionistic fuzzy inference system (IFIS) of Takagi-Sugeno type has been
proposed. Previous results have shown that by adding non-membership functions, the …

Fuzzy logic is an approach which deals with the incomplete information to handle the
imperfect knowledge. In the present research paper we have proposed a new approach that …