Abstract Analytic Hierarchy Process (AHP) is a broadly applied multi-criteria decision-
making method to determine the weights of criteria and priorities of alternatives in a …

The use of artificial neural network models to enrich the analytical and predictive capabilities
of decision support systems in manufacturing has increased. The growing complexity and …

Inspired by biological neurons, the activation functions play an essential part in the learning
process of any artificial neural network (ANN) commonly used in many real-world problems …

Obviously, the Covid-19 pandemic has huge impact on most businesses and has caused
serious and countless problems for them. Therefore, providing solutions for affected …

This paper presents the application of the new DEMATEL–MABAC model in the process of
making investment decisions on the acquisition of manipulative transport (Forklifts) in …

As a practical popular methodology for dealing with fuzziness and uncertainty in Multiple
Criteria Decision-Making (MCDM), Fuzzy AHP (FAHP) has been applied to a wide range of …

Abstract Machine tool selection has been an important issue in the manufacturing industry
because improper machine tool selection can have a negative effect on productivity …

Managing ecotourism through appropriate zoning is critical for land use planning. This study
is the first to integrate a geographic information system (GIS) with a Fuzzy-Analytic Hierarchy …

City logistics (CL) tends to increase efficiency and mitigate the negative effects of logistics
processes and activities and at the same time to support the sustainable development of …

The concurrent societal goals and environmental challenges force industries to become
more human-centric, sustainable, and resilient, which is envisioned as a value-oriented …