This study; i) investigates the suitability of two frequently employed machine learning
algorithms in remote sensing, namely, random forests (RFs) and support vector regression …

The present work proposes a fuzzy-random fragility assessment framework for evaluating
2D reinforced concrete moment frame buildings in the presence of various sources of …

This article introduces a novel connectionist approach for dynamic analysis of structural
problem. In general, dynamic analysis of structures leads to eigenvalue problems …

The concept of performance-based engineering in the seismic design and performance
evaluation of structures has gained a significant development over the past few decades …

This paper deals with uncertain linear systems called fully fuzzy linear systems (FFLSs) and
dual FFLSs. The aim is to solve FFLSs and their duality. To get the purpose, a new approach …

Taking concepts from supply management, we developed a specification-assessment-
compliance approach to obtain a transparent multi-criteria decision-making method. We …

This study applies an improved particle swarm optimization (IEPSO) algorithm to optimize
the structural design parameters of a binocular detection system. First, the mathematical …

In this paper, a new method is proposed to find the approximate solutions to fully fuzzy
systems of linear equations (FFSLEs). The technique integrates a bisection method with …

Öz Bu çalışmada, tam bulanık lineer denklem sistemlerine yaklaşık çözümler bulmak için
yeni bir yöntem önerilmiştir. Teknik, bir ikiye bölme yöntemini bulanık sayısal simülasyon ile …

Under static conditions, the governing differential equations of various science and
engineering problems lead to systems of simultaneous equations (linear and nonlinear). In …