Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development

Duleba, Szabolcs; Gündoğdu, Fatma Kutlu; Moslem, Sarbast

doi:10.15388/21-infor451

Cited by 43 publications

(19 citation statements)

References 61 publications

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“…Nasir et al [61] introduced the concepts of Complex T-Spherical Fuzzy Relations in the financial sector. According to the study of Duleba et al [62], the Interval-Valued Spherical Fuzzy AHP technique was employed to analyze public transportation development in a Turkish city.…”

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 SFS, membership functions are determined with the squared sum of membership, non-membership and hesitancy/indeterminacy parameters. Finally, different from single valued SFS, an interval with upper and lower degrees for the parameters are set and considered in interval-valued SFS developed by (Duleba, Kutlu Gündoğdu, & Moslem, 2021).…”

Section: 1fuzziness and Fuzzy Numbersmentioning

confidence: 99%

Integrating Quality Function Deployment with Fuzzy Cognitive Maps for Resolving Correlation Issues in the Roof Matrix

Emel¹,

Petriçli²,

KAYGULUOĞLU³

2022

Ege Akademik Bakis (Ege Academic Review)

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The roof matrix represents correlations among engineering characteristics (EC) in the house of quality (HoQ) in Quality Functions Deployment (QFD). Correlations are usually measured qualitatively and omitted in the analysis. However, ignoring them may cause duplication of effort, decreased product performance, and unsatisfied customer requirements (CR). Hence, this paper intends to propose an approach to considering the correlations quantitatively. Fuzzy Cognitive Maps (FCM) were used for this purpose. Additionally, Axiomatic Design (AD), for examining relationships between CRs and ECs, and Fuzzy Analytic Hierarchy Process (FAHP) with the Extent Analysis (EA) were used for checking the consistency of the evaluations. The proposed approach was applied in a sheet metal die-making company for ranking CRs and ECs. Results show that FCM enables analysing the quantitative roof matrix practically. The square roof matrix that supports FCM's adjacency matrix structure successfully represents asymmetric relationships among ECs. Integrating the correlations into the analysis resulted in a change in the final ranking. It also helped determine the most manageable ECs, better satisfiable CRs, and most critical/least manageable ECs.

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“…Gul and Ak [13] proposed an interval-valued spherical fuzzy Order Preference by Similarity to Ideal Solution (TOPSIS) and evaluated a marble manufacturing facility, and Aydin and Gundogdu [14] developed a Multi-Objective Optimization by a Ratio Analysis plus the Full Multiplicative Form (MULTIMOORA) model and ranked performances of companies. Duleba et al [15] worked for an AHP methodology to assess public transportation, and Jin et al [16] presented an Organization, Rangement Et Synthese De Donnes Relationnelles (ORESTE) method for ranking quality characteristics. Moreover, Lathamaheswari et al [17] introduced some new operators for interval-valued spherical fuzzy sets and selected a station for air quality analysis.…”

Section: Related Workmentioning

confidence: 99%

Seismic Risk Analysis of Hospital Buildings: A Novel Interval-Valued Spherical Fuzzy ARAS

Menekşe

Akdağ

2022

JRACR

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Hospitals are vital infrastructures, but they can be particularly susceptible if located in an earthquake-prone area. Estimating the performance and projected damage of these structures in the event of future earthquakes is critical to minimize physical damage and disruption of surgery, rehabilitation, laboratory services, and other medical care operations. A quick and low-cost pre-assessment of the sensitivity of these structures will help hospital managements prepare for suitable retrofitting and reconstruction. On the other hand, a seismic risk assessment equires constructing a model that can offer expert opinions in a quantitative, methodical, and quantifiable way while still reflecting the uncertain and imprecise character of the process. This paper proposes a new decision support model by extending Additive Ratio Assessment (ARAS) with interval-valued spherical fuzzy sets. The study includes sensitivity and comparison analyses, practical implications, limitations, and future research avenues. The applicability of our methodology demonstrated a numerical example for assessing the seismic risk levels of hospital buildings.

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Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development

Cited by 43 publications

References 61 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

Integrating Quality Function Deployment with Fuzzy Cognitive Maps for Resolving Correlation Issues in the Roof Matrix

Seismic Risk Analysis of Hospital Buildings: A Novel Interval-Valued Spherical Fuzzy ARAS

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