Evaluation of LPI Values of Transition Economies Countries With a Grey MCDM Model

Ulutaş, Alptekin; Karaköy, Çağatay

doi:10.4018/978-1-7998-5077-9.ch024

Cited by 8 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SWARA method, Grey SWARA obtained by adapting the grey theory to SWARA, and Fuzzy SWARA obtained by adapting the Fuzzy numbers to SWARA, are used to find the degree of importance of the evaluation criteria. As a result of the literature research, it is seen that SWARA method is applied in many subjects such as supplier selection (Ulutaş, 2021), personnel selection in the aviation industry (Özdağoğlu et al, 2021), machine workbench selection in the manufacturing industry (Aghdaie et al, 2013), evaluation of airports performance (Keleş et al, 2021), evaluation of the service quality offered by airports (Pamucar et al, 2021), evaluation of supply chain management (Dahooie et al, 2020), logistics performance analysis (Ulutaş & Karaköy, 2020), selection of contractors in the construction industry (Çakır, 2017;Cao et al, 2019), performance evaluation of businesses operating in the stock market (Özdağoğlu & Keleş, 2019), selection of establishments in the energy industry (Supçiller & Bayramoğlu, 2020), the evaluation of web pages of companies engaged in e-commerce (Stanujkić et al, 2021). In recent years, the number of studies using Grey SWARA has been increasing.…”

Section: Literature Reviewmentioning

confidence: 99%

Method of Evaluation of Military Helicopter Pilot Selection Criteria: A Novel Grey Swara Approach

2023

View full text Add to dashboard Cite

Helicopter is a very important defence and attack tool for a country’s armed forces (army) (air force). With the rapid progress of technology, the designs of helicopters, the hardware and software elements in the helicopter have also been renewed and developed in parallel with advanced technology. Therefore, it is expected that the pilots who will use helicopters, which are an important flight tool of armed forces, will also have the qualifications to provide the necessary knowledge, skills, and criteria. The aim of the study is to determine the military helicopter pilot selection criteria and to find the importance levels of these criteria. For this purpose, three main criteria as “Health”, “Psychomotor” and “Education and Training” and thirteen sub-criteria were determined. The weights of the determined criteria were found by the Grey SWARA method, which is a current multi criteria decision making tool. According to the results of the analysis, it is found that the most important sub-criteria was “Practical Training”, while the lowest important criteria was the “Height and weight limits” criterion. With this study, the weights of the military helicopter pilot selection criteria were found for the first time with the Grey SWARA method.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Method of Evaluation of Military Helicopter Pilot Selection Criteria: A Novel Grey Swara Approach

2023

View full text Add to dashboard Cite

show abstract

“…Ulutaş et al [16] developed a novel MULTIMOOSRAL approach to the supplier selection problem. Ulutaş [17] developed a grey MCDM model based on grey Step-wise Weight Assessment Ratio Analysis (SWARA) and Multi-Objective Optimization Method by Ratio Analysis (MOORA) to evaluate the logistics performance of transition economies. The model suggests that the most influential criterion is "infrastructure" and Serbia is the country with the best logistics performance among the transition economies.…”

Section: Literature Reviewmentioning

confidence: 99%

A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain

Kieu

Nguyễn

Nguyen

et al. 2021

Axioms

View full text Add to dashboard Cite

Logistics is an important service sector, contributing to improving the competitiveness of the economy. Therefore, along with increasing the application of technology and effective business models, it is necessary to increase the connectivity of the infrastructure systems of industrial parks, roads, and seaports of regions and the country. Over the past decades, Vietnamese businesses have been step-by-step going through many stages from production, packaging, quality, hygiene, and safety to grasping new stages in the domestic and global value chain. In many industries, businesses are increasing the content of their own designs, exploiting brands, and approaching consumption networks in the target market. The role of the distribution center is becoming more and more important in ensuring a seamless and flawless supply chain. In particular, the distribution center is the most sensitive contact point between supply and demand in each enterprise. Therefore, the key mission of a distribution center is to reconcile supply and demand requirements. Distribution center location selection problems usually involve multiple quantitative and qualitative criteria that the decision maker must take into account for assessing the symmetrical impact of the criteria to reach the most accurate result. In this study, the authors propose a hybrid MCDM model based on Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm to support the distribution location selection problem of perishable agricultural products. The proposed model is then applied to the numerical case study of the sweet potato product of the Mekong Delta region of Vietnam to demonstrate the feasibility of the model. The contribution of this research is to propose an MCDM model for improving the efficiency of the agricultural supply chain through selecting a location distribution center. This proposed model can be applied to the agricultural supply chain around the world.

show abstract

“…In the past decades, multiple MCDM models have been developed to support different decision-making processes in various industry sectors [6][7][8][9][10]. These models vary from each other by using unique sets of criteria or different MCDM techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

et al. 2021

View full text Add to dashboard Cite

With the expansion of its industrial and manufacturing sectors, with the goal of positioning Vietnam as the world’s new production hub, Vietnam is forecast to face a surge in energy demand. Today, the main source of energy of Vietnam is fossil fuels, which are not environmentally friendly and are rapidly depleting. The speed of extraction and consumption of fossil fuels is too fast, causing them to become increasingly scarce and gradually depleted. Renewable energy options, such as solar, wind, hydro electrical, and biomass, can be considered as sustainable alternatives to fossil fuels. However, to ensure the effectiveness of renewable energy development initiatives, technological, economic, and environmental must be taken in consideration when choosing a suitable renewable energy resource. In this research, the authors present a multi-criteria decision-making model (MCDM) implementing the grey analytic hierarchy process (G-AHP) method and the weighted aggregates sum product assessment (WASPAS) method for the selection of optimal renewable energy sources for the energy sector of Vietnam. The results of the proposed model have determined that solar energy is the optimal source of renewable energy with a performance score of 0.8822, followed by wind (0.8766), biomass (0.8488), and solid waste energy (0.8135) based on the calculations of the aforementioned methods.

show abstract

Evaluation of LPI Values of Transition Economies Countries With a Grey MCDM Model

Cited by 8 publications

References 13 publications

Method of Evaluation of Military Helicopter Pilot Selection Criteria: A Novel Grey Swara Approach

Method of Evaluation of Military Helicopter Pilot Selection Criteria: A Novel Grey Swara Approach

A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain

A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

Contact Info

Product

Resources

About