Yazar "Tas, Mehmet Ali" seçeneğine göre listele

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    A New Circular Intuitionistic Fuzzy MCDM: A Case of Covid-19 Medical Waste Landfill Site Evaluation
    (IEEE, 2021) Cakir, Esra; Tas, Mehmet Ali; Ulukan, Ziya
    Since the beginning of the COVID-19 pandemic, the use of protective medical products has tremendously increased. The wastes generated by used products pose a threat to public health. Selection of alternative landfill sites to be determined for medical waste is a challenging task as there are several criteria to consider. Fuzzy multi-criteria decision making (MCDM) approaches can be employed to overcome this problem. In this study, the landfill sites evaluation for Covid-19 pandemic medical waste is investigated. Decision-makers give their judgments with intuitionistic fuzzy numbers and a novel circular intuitionistic fuzzy MCDM approach is developed for evaluating sites. As a contribution to the literature, this study extends the usage of circular intuitionistic fuzzy sets (C-IFS) in MCDM approaches by proposing defuzzification functions. The application of the proposed method is intended to guide future C-IFS MCDM methodologies.
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    A New Weighting Method in Fuzzy Multi-criteria Decision Making: Selected Element Reduction Approach (SERA)
    (Springer International Publishing Ag, 2023) Cakir, Esra; Tas, Mehmet Ali; Demircioglu, Emre
    In this study, Selected Element Reduction Approach (SERA) is proposed for weighting criteria in decision-making problems. The new method is based on the change caused by the reduction of a criterion in a fuzzy decision matrix. An overall ranking is obtained with the fuzzy evaluations of the decision-makers. After, the effect of a selected criterion on the results is calculated by excluding it from the evaluation. Accordingly, the criterion that creates the greatest change becomes the criterion with the highest weight. The values obtained as a result of the method are directly proportional to the weights of the criteria. The new method has been introduced to the literature with the application of personnel selection case.
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    Circular Intuitionistic Fuzzy Analytic Hierarchy Process for Remote Working Assessment in Covid-19
    (Springer International Publishing Ag, 2022) Cakir, Esra; Tas, Mehmet Ali
    The Covid-19 pandemic has caused many revolutionary changes in business life. Thanks to the remote working opportunity in some sectors and limited areas, some leading companies were able to continue their activities and aimed to prevent the spread of the epidemic in the business environment. Although remote working is very advantageous due to economic and health conditions, some challenges can also be mentioned in terms of efficient and effective business management. Evaluation of these challenges may enable the pursuit of a holistic management strategy. In this study, the challenges of the remote working method for businesses are evaluated. Circular Intuitionistic Fuzzy Sets (C-IFS), which is a fairly new fuzzy set concept, and the Analytic Hierarchy Process (AHP), which is a widely used multi-criteria decision making (MCDM) method, are proposed as a novel hybrid methodology. IFS is used to reflect linguistic expressions of decision makers' assessments. The proposed methodology is implemented to investigate the compliance of tourism enterprises with the concept of remote work and to increase the use of the C-IFS AHP methodology.
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    Evaluating Sustainable Management of Cultural Heritage using Interval-valued Pythagorean Fuzzy AHP
    (Elsevier B.V., 2024) Tas, Mehmet Ali; Alptekin, S. Emre
    Cultural heritage is one of the most important universal values reflected by past societies to the present day. It is essential to establish management strategies in order to carry out many activities such as protection, renovation, maintenance and repair of cultural heritage effectively and efficiently. For this purpose, cultural heritage management strategies should be created in accordance with sustainable development. Existing strategies can be improved or new ones can be structured by measuring the importance levels of sustainability criteria that should be taken into account in these strategies. This study includes an examination of the sustainability criteria in determining the management strategy of cultural heritage in the city of Istanbul. 18 criteria under the main economic, social and environmental criteria are listed with literature review and decision makers' opinions. Decision makers' linguistic responses are converted into interval-valued Pythagorean fuzzy number equivalents. The interval-valued Pythagorean fuzzy AHP method, which is a fuzzy Multi-Criteria Decision Making (MCDM) approach, is applied to calculate the weights of the criteria. According to the results of the method, it is revealed that the most important main sustainability criterion is economic (0.5217). Based on the computed results, the most important criteria are ranked as number of foreign tourists visited (0.1223), total income generated (0.0988) and level of economic contribution to local wealth (0.0916), respectively. The aim of this study is to contribute to the determination of qualifications in the creation of cultural heritage management strategies. © 2024 The Authors.
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    Evaluation of major cities in terms of smart cities: A developing country perspective
    (Elsevier B.V., 2023) Tas, Mehmet Ali; Alptekin, S. Emre
    Today, slightly more than half of the people live in urban areas and this rate is increasing over the years. The enormously rising population in cities brings with it numerous problems that need to be deeply addressed. New approaches are required in solving many issues such as the management of scarce resources in the city, and the access of city residents to clean air and water. The smart city concept, which freshly emerged with the approach of adapting advanced technological facilities to city administrations, may be able to assist to cope with these problems. The levels of embracement and implementation of the smart city concept play a fundamental role in the well-being of people living in urban areas. Measuring smart city performances, especially in metropolitan cities, can guide the management of local or national investments to improve society's quality of life. In this study, the smart city performance assessment of 30 metropolitan municipalities in Türkiye using a two-stage methodology is included. The scores of smart city index indicators determined by the literature review for Türkiye were calculated using MEthod based on the Removal Effects of Criteria (MEREC), which is a recent multi-criteria decision-making (MCDM) approach. In the second part of the methodology, 30 metropolitan municipalities were ranked based on weighted criteria using another MCDM approach Measurement Alternatives and Ranking according to the COmpromise Solution (MARCOS). The methodology is compared with different MCDM approaches. As a result of the study, it has been revealed that the best city according to the methodology is Istanbul. Also, Antalya, Izmir and Konya have also been among the prominent cities with high smart city scores. The aim of this study is to contribute to the analysis of the issues where the investment should be focused on by measuring the smart city performances of metropolitan cities. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
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    Investigating Smart City Applications: A Case Study from Istanbul
    (Springer International Publishing Ag, 2024) Tas, Mehmet Ali; Alptekin, S. Emre
    The smart city concept stands for a sign of progress towards improving the quality of urban residents' lives, improving urban infrastructures and promoting sustainable development. Smart city applications contribute to the deployment of comprehensive management strategy models that prioritize sustainability and agility as well as the use of technology. Smart city projects can facilitate create solutions to achieve the Sustainable Development Goals (SDGs). Smart mobility applications can be used to achieve SDG11, especially Sustainable Cities and Communities. International and national organizations are investing in many smart city projects in Istanbul, Turkiye's most populous and economically prominent city. This study includes the evaluation of smart mobility projects associated with SDG11 in Istanbul. Five smart mobility projects in the database of the Istanbul Metropolitan Municipality are ranked taking into account six determined criteria. The feedback of decision-makers is utilized in the assessment of projects. The linguistic responses of decision-makers are incorporated into the fuzzy AHP-MARCOS method, a multi-criteria decision making (MCDM) model using Pythagorean fuzzy numbers. This study aims to contribute to the analysis of smart city applications.
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    Neutrosophic Fuzzy MARCOS Approach for Sustainable Hybrid Electric Vehicle Assessment
    (IEEE, 2021) Cakir, Esra; Tas, Mehmet Ali; Ulukan, Ziya
    In smart city planning, activities that minimize the damage to the environment are important for a sustainable environment. Therefore, municipalities have tended to change their vehicle preferences for sustainable environmental goals. In recent years, the use of hybrid electric vehicles has been on the agenda in terms of reducing environmental pollution. Municipalities need some criteria and expert opinion to choose among the alternatives. The contribution of this paper is to propose a new single valued neutrosophic fuzzy integrated MARCOS method for fuzzy multi-criteria decision making problems. The uncertain decisions of experts are included to MARCOS method to express the uncertainties in human opinions, therefore, the single valued neutrosophic fuzzy numbers are preferred in terms of truth, indeterminacy and falsity membership. The method is used to rank the alternatives keeping determined criteria by DMs in consideration. It finds ideal and anti-ideal solutions by decision matrix, and it uses these values to generate the utility degrees of the alternatives. The proposed methodology is applied on sustainable hybrid electric vehicle selection problem for a municipality in Turkey. The results are comparatively represented.
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    Ranking Triangular and Trapezoidal Fuzzy MARCOS Methods on Road Risk
    (Institute of Electrical and Electronics Engineers Inc., 2021) Tas, Mehmet Ali; Cakir, Esra
    Road risk analysis studies provide a benefit to reduce and prevent traffic accidents. In addition to many techniques, multi-criteria decision making methods and fuzzy logic have been implemented to handle the uncertainties and assess the risks. In this study, a fuzzy MARCOS method, which is a recent multi-criteria decision making method, is applied in the road risk analysis study. Trapezoidal fuzzy numbers are adapted to express the fuzziness in linguistic expressions. 38 alternative sections are evaluated for risk according to six criteria. The results of the proposed method are compared to the results of the triangular fuzzy MARCOS method in the literature. It is observed that the eight ranks with the highest risk in the rankings of the alternatives of two fuzzy methods are preserved. It is aimed that this study increases the use of fuzzy MARCOS method in multi-criteria decision making studies. © 2021 IEEE.