Abstract Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and
Cluster Analysis (CA) are techniques widely used to help decision-makers determine the …

Globalization and changing levels of competition highlight the importance of innovation and
innovation management, as well as their efficiency, as a critical economic factor for …

Numerous scholars have thoroughly studied the topic of choosing machines considering the
progress and technological growth seen in machinery options. This scholarly investigation …

The purpose of this study is to determine appropriate innovative strategies for the renewable
energy investments. For this purpose, a hybrid multi-criteria decision-making (MCDM) model …

This study analyzes the effect of multi-attribute decision making (MADM) on the efficiency of
the end-of-life vehicle (ELV) reverse logistics industry in the context of the circular economy …

The objective of this study is to propose a novel hybrid multiple criteria decision-making
(MCDM) approach for route selection in multimodal supply chains. The proposed hybrid …

Abstract Efficient National Innovation Ecosystems (NIEs) create appropriate conditions for
the generation of new knowledge, collaboration, and innovation, which are key determinants …

Airports play an important role in the economic development of countries. Efficiency
analyses of airports are crucial for providing an important roadmap to airport authorities and …

In this paper, we introduce data envelopment analysis (DEA) model into rough sets, and
propose a novel three-way decision model to deal with the decision problems with multiple …

The success of a company is measured by the ability to provide goods and services at the
right time and place. Besides, one of the factors of the company's progress is also supported …