Multi-criteria decision-making methods: application in humanitarian operations
Purpose This paper aims to examine and compare extant literature on the application of
multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and …
multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and …
An integrated hybrid MCDM approach to evaluate countries' COVID-19 risks
To enable planning and early reaction efforts, it is important to identify the nations most at
risk from COVID-19's health and humanitarian effects, which could exceed present national …
risk from COVID-19's health and humanitarian effects, which could exceed present national …
Evaluating the application of K-mean clustering in Earthquake vulnerability mapping of Istanbul, Turkey
Performing the most up-to-date and accurate vulnerability assessment is key to an effective
earthquake disaster management. In cities like Istanbul (Turkey) with a high rate of urban …
earthquake disaster management. In cities like Istanbul (Turkey) with a high rate of urban …
The suitability-feasibility-acceptability strategy integrated with Bayesian BWM-MARCOS methods to determine the optimal lithium battery plant located in South …
This study aims to help managers develop a proper strategy and policy for their company's
future. After the global COVID-19 pandemic, developed countries decided to change their …
future. After the global COVID-19 pandemic, developed countries decided to change their …
Explainable artificial intelligence (XAI) model for earthquake spatial probability assessment in Arabian peninsula
Among all the natural hazards, earthquake prediction is an arduous task. Although many
studies have been published on earthquake hazard assessment (EHA), very few have been …
studies have been published on earthquake hazard assessment (EHA), very few have been …
Evaluation of carbon emission factors in the cement industry: An emerging economy context
The cement industry is a major contributor to carbon emissions, responsible for 5–8% of
global emissions. This industry is expanding, particularly in emerging economies, and it is …
global emissions. This industry is expanding, particularly in emerging economies, and it is …
Control measure prioritization in Fine− Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station
Abstract The Fine− Kinney is a risk assessment method widely used in many industries due
to its ease of use and quantitative risk evaluation. As in other methods, it is a method that …
to its ease of use and quantitative risk evaluation. As in other methods, it is a method that …
Identifying and prioritizing the factors to determine best insulation material using Bayesian best worst method
E Ayyildiz, M Erdogan - Proceedings of the Institution of …, 2024 - journals.sagepub.com
The issue related to energy efficiency is being addressed worldwide as a subject that is
becoming more and more important every day. The implementation of insulation measures …
becoming more and more important every day. The implementation of insulation measures …
Distribution centre location selection for disaster logistics with integrated goal programming-AHP based TOPSIS method at the city level
EG Polat - Afet ve Risk Dergisi, 2022 - dergipark.org.tr
The importance of disaster logistics and its share in the logistics sector are increasing
significantly. Most disasters are difficult to predict; therefore, a set of measures seems to be …
significantly. Most disasters are difficult to predict; therefore, a set of measures seems to be …
A comparative framework for criticality assessment of strategic raw materials in Turkey
The rapid development of innovative technologies, population growth, shifting resource
management patterns, and decarbonization challenges are expected to increase the …
management patterns, and decarbonization challenges are expected to increase the …