Lean manufacturing is a profound system designed to enhance every manufacturing
industry's efficiency by reducing waste through internationally recognized tools and …

Archimedean t-conorm and t-norm (ATT) consists of t-conorm (TC) and t-norm (TN) families,
which can develop the general operational laws for some fuzzy sets (FSs). Linguistic scale …

To mitigate the negative effects of land use developments, the current study focused on the
hydrological connectivity within the landscape ecological network of Gharesou watershed …

As an important modeling tool for knowledge representation and reasoning (KRR), fuzzy
Petri nets (FPNs) have been applied in kinds of fields. However, there exist some …

Fuzzy sets and rough sets are two different mathematical models to cope with vagueness,
but they are correlated. Dubois and Prade combined these two sets to make new hybrid …

This work investigates the process of reducing the fertilizer consumption and improving the
crop productivity using the fuzzy logic systems. The system comprises two parts; land report …

Locating a manufacturing plant is a complex multi-criteria decision-making problem as it
involves many tangible and intangible criteria. This paper contributes to the existing theory …

Estimation of reservoir parameters such as porosity, lithology and determination of elastic
moduli is based on well-logging data and seismic velocity information. However, the lack of …

A modern power system network is more susceptible to oscillatory instability problem due to
power oscillations caused by uncertain penetration of renewable sources. Also, pumped …

Higher-order fuzzy logic systems, like type-3 fuzzy logic systems, are gaining wide popularity
in recent years. One of the main reasons for this is the ability to manage complex …