A spherical fuzzy analytic hierarchy process based approach to prioritize career management activities improving employee retention

Yildiz, Didem; Temur, Gül Tekin; Beşkese, Ahmet; Bozbura, Faik Tunç

doi:10.3233/jifs-189122

Cited by 14 publications

(7 citation statements)

References 38 publications

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“…On Spherical Fuzzy sets combined with various MCDM models, Kutlu Gündo gdu and Kahraman [59] used SF-AHP to select an industrial robot. Yildiz et al [60] offered the SF-AHP model to assess career management activities contributing to millennial employee retention. Nasir et al [61] introduced the concepts of Complex T-Spherical Fuzzy Relations in the financial sector.…”

Section: Literature Review On Mcdm Methodsmentioning

confidence: 99%

A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam

et al. 2021

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The unprecedented coronavirus pandemic (COVID-19) is fluctuating worldwide. Since the COVID-19 epidemic has a negative impact on all countries and has become a significant threat, it is necessary to determine the most effective strategy for governments by considering a variety of criteria; however, few studies in the literature can assist governments in this topic. Selective governmental intervention during the COVID-19 outbreak is considered a Multi-Criteria Decision-Making (MCDM) problem under a vague and uncertain environment when governments and medical communities adjust their priorities in response to rising issues and the efficacy of interventions applied in various nations. In this study, a novel hybrid Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (WASPAS-F) model is proposed to help stakeholders such as governors and policymakers to prioritize governmental interventions for dealing with the COVID-19 outbreak. The SF-AHP is implemented to measure the significance of the criteria, while the WASPAS-F approach is deployed to rank intervention alternatives. An empirical case study is conducted in Vietnam. From the SF-AHP findings, the criteria of “effectiveness in preventing the spread of COVID-19”, “ease of implementation”, and “high acceptability to citizens” were recognized as the most important criteria. As for the ranking of strategies, “vaccinations”, “enhanced control of the country’s health resources”, “common health testing”, “formation of an emergency response team”, and “quarantining patients and those suspected of infection” are the top five strategies. Aside from that, the robustness of the approach was tested by performing a comparative analysis. The results illustrate that the applied methods reach the general best strategy rankings. The applied methodology and its analysis will provide insight to authorities for fighting against the severe pandemic in the long run. It may aid in solving many complicated challenges in government strategy selection and assessment. It is also a flexible design model for considering the evaluation criteria. Finally, this research provides valuable guidance for policymakers in other nations.

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Section: Literature Review On Mcdm Methodsmentioning

confidence: 99%

A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam

et al. 2021

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“…In the literature, spherical fuzzy sets are increasingly used with AHP methodology in various MCGDM applications. Industrial robot selection (Gündogdu and Kahraman 2019), renewable energy location selection (Gündogdu and Kahraman 2020), food waste management alternative selection (Buyuk and Temur 2020), supplier selection criteria prioritization (Unal and Temur 2020), dynamic pricing model for mobile advertisements, career management activity prioritization (Yildiz et al 2020) and global supplier selection (Sharaf 2021) are the recent studies developed with spherical sets.…”

Section: Literature On Spherical Fuzzy Ahpmentioning

confidence: 99%

Distance education tool selection using novel spherical fuzzy AHP EDAS

Menekşe

Akdağ

2022

Soft Comput

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COVID 19 pandemic, which entered our lives suddenly, caused the change of our classical education system and forced higher education institutions to switch to distance education quickly. During this time, the need for a method that can comprehensively and scientifically evaluate the alternatives of videoconferencing tools to be used in distance education has emerged. This paper proposes a novel hybrid multi-criteria group decision-making (MCGDM) model by integrating the analytic hierarchy process (AHP) and the evaluation based on distance from average solution (EDAS) methodologies. The proposed model is developed with spherical fuzzy (SF) sets, which enable decision-makers (DMs) express their membership, non-membership and hesitancy degrees independently, and in a large three-dimensional spherical space. The applicability of the developed spherical fuzzy AHP EDAS is illustrated through a problem of selecting a videoconferencing tool for distance education. For this purpose, three DMs evaluate five popular videoconferencing tools, namely Zoom, Google Meet, Cisco WebEx, Skype and Microsoft with respect to six criteria, which are expanded with 32 related sub-criteria from the literature to more comprehensively handle the problem. The implications, sensitivity and comparative analyses, limitations and future research avenue are also given within the study.

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“…SFS improves decision-making over its predecessors by making it more intelligent (comparable to human judgment), which can lead to a decision-making process that is more accurate when evaluating options. Because of this benefit, SFS has lately been used in a variety of applications, including location selection [43,44], renewable energy evaluation [45], supplier selection [46][47][48][49], systems management [50][51][52][53][54][55][56], technology evaluation [57], and strategies selection [58].…”

Section: Nomentioning

confidence: 99%

Evaluating Global Container Shipping Companies: A Novel Approach to Investigating Both Qualitative and Quantitative Criteria for Sustainable Development

Wang

Dang

Nguyen

et al. 2022

Axioms

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The COVID-19 pandemic has implications for the container shipping industry and global supply chains. Measuring the efficiency of major international container shipping companies (CSCs) is an important issue that helps them make strategic decisions to improve performance, especially in the context that all businesses and governments are adapting to build back better the post-pandemic world. This paper develops a new integrated approach using both a qualitative assessment tool and a performance assessment tool as a systematic and flexible framework for evaluating the container shipping industry. This new methodology is implemented in two phases to consider both qualitative and quantitative criteria for assessing the performance of CSCs based on efficiency. In the first phase, qualitative performance evaluation is performed using spherical fuzzy analytical hierarchical process (AHP-SF) to find criteria weights and then the grey complex proportional assessment methodology (COPRAS-G) is used to find the ranking of CSCs. Qualitative variables are converted into a quantitative variable for use in the data envelopment analysis (DEA) model as an output called an output variable called expert-based qualitative performance (EQP). Then, DEA is performed to identify efficient and inefficient CSCs with the EQP variable and other quantitative parameters (i.e., capacity, lifting, expenses, revenue, and CO2 emissions). The efficiency of 14 major global CSCs is empirically evaluated, and the scores for CSCs’ efficiency in all dimensions are measured and examined. The results show that the average cargo efficiency of the CSCs is lower than their eco-efficiency performance, revealing the operational disruption caused by the pandemic. Moreover, by identifying efficient and inefficient CSCs, our findings provide practical implications for decision-makers in the maritime field and assist in modifying applicable policies and strategies to achieve sustainable performance.

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A spherical fuzzy analytic hierarchy process based approach to prioritize career management activities improving employee retention

Cited by 14 publications

References 38 publications

A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam

A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam

Distance education tool selection using novel spherical fuzzy AHP EDAS

Evaluating Global Container Shipping Companies: A Novel Approach to Investigating Both Qualitative and Quantitative Criteria for Sustainable Development

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