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- MakaleAçık Erişim2023Scopus SJRQ1COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model
Baskak, Dilber; Ozbey, Sumeyye; Yucesan, Melih; Gul, Muhammet
The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has had devastating effects on all segments of society, has been one of the most important priorities. The Turkish Standards Institution has determined a checklist to contribute to developing safe and clean environments in higher education institutions in Turkey and to follow-up on infection control measures. However, this study is only a checklist that makes it necessary for decision-makers to make a subjective evaluation during the evaluation process, while the need to develop a more effective, systematic framework that takes into account the importance levels of multiple criteria has emerged. Therefore, this study applies the best-worst method under interval type-2 fuzzy set concept (IT2F-BWM) to determine the importance levels of criteria affecting the “COVID-19 safe campus” evaluation of universities in the context of global pandemic. A three-level hierarchy consisting of three main criteria, 11 sub-criteria, and 58 sub-criteria has been created for this aim. Considering the hierarchy, the most important sub-criterion was determined as periodic disinfection. The high contribution of the interval-valued type-2 fuzzy sets in expressing the uncertainty in the decision-makers’ evaluations and the fact that BWM provides criterion weights with a mathematical optimization model that produces less pairwise comparisons and higher consistency are the main factors in choosing this approach. Simple additive weighting (SAW) has also been injected into the IT2F-BWM to determine the safety level of any university campus regarding COVID-19. Thus, decision-makers will be better prepared for the devastating effects of the pandemic by first improving the factors that are relatively important in the fight against the pandemic. In addition, a threshold value will be determined by considering all criteria, and it will prepare the ground for a road map for campuses. A case study is employed to apply the proposed model, and a comparison study is also presented with the Bayesian BWM to validate the results of the criteria weights.
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İncele - MakaleAçık Erişim2022Scopus SJRQ1An interval type-2 fuzzy enhanced best–worst method for the evaluation of ship diesel generator failures
Yucesan, Melih; Başhan, Veysi; Demirel, Hakan; Gul, Muhammet
The environmental destruction in our century necessitates the implementation of more safety-based rules and the strict implementation of failure analysis, especially in the maritime sector. The generator system, considered the ship's powerhouse, is expected to be ready and well-maintained for efficient and safe operations. This study proposes a new methodology to analyze ship generator failures. This method includes a version of the best-worst multi-criteria decision-making method enriched with interval type-2 fuzzy logic (IT2FE-BWM). Enrichment with interval type-2 fuzzy numbers shows that a parameter about how much the decision-maker trusts the pairwise comparisons are added to the model. Thus, a more sensitive methodology has been proposed for the confidence of the maritime sector evaluators. A solid decision mechanism has been developed to prioritize generator failures. In addition, a comparison study with some other BWM derivatives and a creative sensitivity analysis were added to this study and its robustness was tested.
AtıfScopus25OpenAlex24İncele - MakaleYalnız künye2021Scopus SJRQ1Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment
Celik, Erkan; Gul, Muhammet
Undoubtedly, dams are one of the projects developed by people to make optimal water use and generate hydroelectric energy power. In addition to the importance of detailed project planning, faultless production, and optimal working conditions in dam constructions, it is equally important to identify and analyze the risks from the occupational health and safety (OHS) perspective that may arise during construction and operation. In this context, hazard identification, risk analysis, and control, which are the main issues of dam safety, have gained importance. In this study, a novel approach is developed for dam construction safety. Two newly proposed multi-criteria decision-making (MCDM) methods of “Best-Worst Method-BWM” and “measurement of alternatives and ranking to Compromise solution-MARCOS”, are merged under the context of interval type-2 fuzzy sets (IT2FSs). Severity and probability, two essential parameters of the risk score, have been weighted using BWM. Subsequently, the priority orders of hazards have been determined by the MARCOS. In implementing the approach to the blasting process in dam construction, several control measures are suggested for stakeholders. Some comparative works and sensitivity analyses are performed to test the approach's validity and solidity from the methodological viewpoint.
AtıfScopus140WoS113İncele - BildiriYalnız künye2020Design factors for sustainable university campus via interval type 2 fuzzy set
Kaya, Sema Kayapinar; Erginel, Nihal; Kahraman, C.; Cevik Onar, S.; Oztaysi, B.; Sari, I.U.; Cebi, S.; Tolga, A.C.
Sustainable development has gained importance in recent years as a development model that aims to create environmental awareness for future generations within the economic and social development goals of the countries. Sustainable development is concerned with the effective and efficient use of rapidly declining natural resources for the growing population. The achievement of the goals determined in sustainable development and the transfer to the next generations is realized through sustainable education. Due to the innovative and pioneering role of universities in society, they are the most important educational institutions that contribute to the spread of a sustainable lifestyle in society. In this study, Interval Type-2 Fuzzy Quality Function Deployment (IT2_FQFD) approach was developed to improve sustainable university attributes. Firstly, the most important 12 sustainability criteria (SRs) were weighted with Interval Type-2 Fuzzy Analytic Hierarchy Process (IT2_FAHP). Then QFD approach was used to determine the importance of sustainability factor of university campus, the relations between SRs and SDs, and the correlations matrix among SDs via interval type-2 fuzzy sets. After that, the design attributes were ranked with fuzzy trade-off method. The fuzzy trade-off is a novel ranking method covering all of the solution space in order to find an optimal solution in decision-making problems with conflict criteria. This paper is the first study that presents a new method of combined IT2_FQFD and IT2_FAHP, which evaluates the sustainable university model considering the needs of student and academicians. As a result of this study, the most appropriate SDs were determined and ranked according to their importance level.
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