Uncertainty modelling in the selection of climate control system manufacturers for preconstruction of hydroelectric power plants

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dc.authoridBulut, Merve/0000-0002-4412-9071
dc.contributor.authorBulut, Merve
dc.contributor.authorOzcan, Evrencan
dc.date.accessioned2025-01-21T16:55:45Z
dc.date.available2025-01-21T16:55:45Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractHeating, ventilation, air conditioning, and refrigeration systems, the critical intersection point of low environmental impact, neutral thermal comfort and acceptable indoor air quality are technologies that directly affect the electricity generation of hydroelectric power plants on the axis of sustainability. Addressing challenges in decision-making for pre-construction system selection, this study employs fuzzy set theory, specifically Pythagorean and q-Rung Orthopair fuzzy sets, to model uncertainty in hydroelectric power plant specific considerations. Utilizing Analytic Hierarchy Process, Technique for Order of Preference by Similarity to Ideal Solution and the Complex Proportional Assessment the model evaluates ten global climate control system manufacturers. Sensitivity and comparative analysis ensure result validity, offering valuable insights for industry professionals and decision-makers, streamlining the complex process of selecting the most suitable manufacturer.
dc.identifier.doi10.1016/j.engappai.2023.107652
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85179587569
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.107652
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25832
dc.identifier.volume129
dc.identifier.wosWOS:001141339100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectClimate control system; Pythagorean fuzzy numbers; Hydroelectric power plants; Multi criteria decision making; HVAC &
dc.titleUncertainty modelling in the selection of climate control system manufacturers for preconstruction of hydroelectric power plants
dc.typeArticle

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