The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review

AS Yalcin, HS Kilic, D Delen - Technological forecasting and social change, 2022 - Elsevier
Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …

[HTML][HTML] A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications

AE Torkayesh, M Deveci, S Karagoz… - Expert systems with …, 2023 - Elsevier
Abstract Evaluation based on distance from average solution (EDAS), developed in 2015, is
one of the well-known and frequently utilized methods which is applied for different types of …

Determination of objective weights using a new method based on the removal effects of criteria (MEREC)

M Keshavarz-Ghorabaee, M Amiri, EK Zavadskas… - Symmetry, 2021 - mdpi.com
The weights of criteria in multi-criteria decision-making (MCDM) problems are essential
elements that can significantly affect the results. Accordingly, researchers developed and …

Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution …

Ž Stević, D Pamučar, A Puška, P Chatterjee - Computers & industrial …, 2020 - Elsevier
Multi-criteria decision-making (MCDM) methods are very useful tools for daily decision-
making in different fields. In addition, determining an acceptable solution with respect to …

Sensitivity analysis in multi-criteria decision making: A state-of-the-art research perspective using bibliometric analysis

G Demir, P Chatterjee, D Pamucar - Expert Systems with Applications, 2024 - Elsevier
In the present era, the implementation of scientifically grounded Multi-Criteria Decision
Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges …

[HTML][HTML] Linguistic Pythagorean fuzzy CRITIC-EDAS method for multiple-attribute group decision analysis

M Akram, N Ramzan, M Deveci - Engineering Applications of Artificial …, 2023 - Elsevier
Industrialization plays a significant role in the development and growth of a country. Pakistan
is one of the developing countries which entirely depends upon their industrial steel sector …

Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

A Belhadi, S Kamble, S Fosso Wamba… - International Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

[HTML][HTML] Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach

B Güneri, M Deveci - Expert Systems with Applications, 2023 - Elsevier
The main purpose of this study is to evaluate the selection criteria of supplier companies
operating in the defense industry using fuzzy based decision-making models. In the study …

A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems

M Yazdani, P Zarate, E Kazimieras Zavadskas… - Management …, 2019 - emerald.com
Purpose The purpose of this paper is to discuss the advantage of a combinatory
methodology presented in this study. The paper suggests that the comparison with results of …

[HTML][HTML] Evaluation of Metaverse integration of freight fluidity measurement alternatives using fuzzy Dombi EDAS model

M Deveci, I Gokasar, O Castillo, T Daim - Computers & Industrial …, 2022 - Elsevier
Developments in transportation systems, changes in consumerism trends, and conditions
such as COVID-19 have increased both the demand and the load on freight transportation …