Yazar "Jaller, Miguel" seçeneğine göre listele

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    A novel pythagorean fuzzy AHP and TOPSIS method for the wind power farm location selection problem
    (Ios Press, 2020) Otay, Irem; Jaller, Miguel
    This paper proposes an Integrated Fuzzy Analytic Hierarchy Process (AHP) with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method using Pythagorean fuzzy sets for the wind farm location selection problem. The method combines the advantages of the two methodologies to consider uncertainties and lack of information in the decision-making process (human expert capacities) and enables better representation of membership and non-membership functions, and at the same time, allows for the evaluation of large numbers of alternatives and criteria. The authors implement the method to evaluate four potential sites near cities located in the west and north-west regions of Turkey, using seven main criteria and twenty-five sub-criteria. The analyses are based on the judgements of three experts/decision-makers. Moreover, the authors compare the results (site ranking) of the methodology, with those from a Pythagorean Fuzzy AHP and an interval-valued Type-2 fuzzy AHP method. With the additional consideration of the sub-criteria, the proposed method generates slight differences in the ranking compared to the previously evaluated methods.
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    Evaluating Hydrogen Production Technologies for Transportation in California Using Decomposed Fuzzy Sets
    (Springer International Publishing Ag, 2024) Jaller, Miguel; Otay, Irem
    Rapid decarbonization of our economies is imperative if we want to get a chance to curb climate change. Different nations and entities have been developing strategies and plans to decarbonize. The transportation sector, especially freight, is a vital component of everyday life, and the economy is one of the largest contributors to negative externalities such as greenhouse gases and local pollutants. It has also received increased pressure to mitigate its impacts. In California, for example, different policies are promoting the use of cleaner vehicle technologies and fuels. Battery electric and fuel cell (hydrogen) trucks are among the most prominent zero-emission truck technologies for transitioning various freight vocations. Today, technologies and fuels are at different stages of market readiness for mass adoption, and research is trying to identify the best uses for each technology. However, there has been a realization that the supporting infrastructure will play a key role in determining the various options' technical, operational, and financial viability. For hydrogen, there are various production processes with different costs, environmental impacts, technical requirements, and uncertainties, and there is an urgency to invest in developing those technologies and increasing production capacity. Therefore, this paper evaluates different hydrogen production technologies (e.g., electrolysis, biomass gasification, steam methane reforming, pyrolysis, and water splitting) and their potential role in California plans. The study implements an expert-based assessment using the Decomposed Fuzzy Sets (DFS)-based Analytic Hierarchy Process (AHP) methodology to evaluate the technologies' performance against various criteria (environmental, economic, technical, transport and delivery, and social). The study's results provide additional information to address a real-life hydrogen production technologies prioritization problem and perform sensitivity analysis to test the robustness and applicability of the method.
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    Multi-expert disaster risk management & response capabilities assessment using interval-valued intuitionistic fuzzy sets
    (Ios Press, 2020) Otay, Irem; Jaller, Miguel
    This study focuses on the evaluation of disaster risk management and response (DRMR) processes and capabilities using a multi-expert multi-criteria decision making (MCDM) framework. The proposed framework considers four sets of evaluation and performance criteria: risk knowledge and organization, risk reduction, disaster response management, and disaster response support; and 22 sub-criteria such as regulating risk management, financial management, energy, and public safety. To contend with random perception and utility, lack of information and subjectivity in the human (expert) judgment processes that could be present in expert-based models, the authors propose an interval-valued intuitionistic fuzzy sets (IVIFSs) approach. IVIFSs can handle high levels of uncertainty and define appropriate membership functions. Specifically, the proposed approach incorporates score judgement and possibility degree matrices, and estimates the local and global weights for each assessment criteria. And finally, evaluates the overall performances of the alternatives using intuitionistic fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach. The authors implemented the framework to the Atlantico State of Colombia, and assessed the disaster risk management and response processes for each for the State's 23 municipalities. The authors discuss sensitivity analysis that illustrates the robustness of the results.