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The strategic selection of facility locations plays a critical role in optimizing operational efficiency, reducing costs, and enhancing customer satisfaction, thereby contributing significantly to the success and competitiveness of businesses. In this study, an interval-valued Pythagorean fuzzy decision-making framework is proposed to select the best location for the lumber drying industry. A four-level hierarchical model is devised with four main criteria, 16 subcriteria, and five alternatives. The opinions of different experts are gathered to obtain input data. The weights of the criteria are calculated using the interval-valued Pythagorean fuzzy analytic hierarchy process (AHP) method. The interval-valued Pythagorean fuzzy weighted aggregated sum product assessment (WASPAS) method is employed to evaluate the alternative locations. A sensitivity analysis is conducted to support the validity of the model results. The study concludes by revealing the optimal location for the lumber drying industry in Turkey. This study presents its novelty by formulating the lumber drying facility location selection problem as a complex fuzzy multicriteria decision-making problem and integrating the Pythagorean fuzzy AHP and WASPAS methods to solve the problem. [ABSTRACT FROM AUTHOR]

Laminate flooring selection is an important phase in the design and construction of a building. Owing to the subjectivity and conflicting factors, the fuzzy multicriteria decision-making technique can be used for handling the problem. In this study, it is aimed to prioritize laminate flooring selection criteria from experts' perspectives. Five main criteria and twenty subcriteria are determined with the help of experts. A three-level hierarchy is devised for comparisons. The spherical fuzzy analytic hierarchy process is used to determine the importance of each criterion. According to the results, 'safety and health properties' (29.0%) and 'durability properties' (20.6%) are the most significant main criteria. Furthermore, 'walking safety' (10.7%), 'free of harmful substances' (8.6%), and 'scratch resistance' (6.7%) are found as the most important subcriteria. The proposed approach presents a different view because it contributes to analyzing the key attributes of laminate flooring. The findings of this study will help building owners, architects, and designers in making informed choices. [ABSTRACT FROM AUTHOR]

This study examined metallic biomaterials via a decision-making approach combining the fuzzy analytic hierarchy process (AHP), the fuzzy failure modes and effects analysis (FMEA), and the fuzzy evaluation based on distance from an average solution (EDAS) method. In the study, stainless steel, titanium, and cobaltchromium alloys were assessed by employing six main criteria, thirty-one subcriteria, and three risk factors. The fuzzy AHP method was used to determine the importance of the evaluation criteria and risk factors, while the fuzzy EDAS method was employed to analyze the risk priority numbers obtained from the fuzzy FMEA method. According to the results, the first three important criteria were infection, carcinogenicity, and tensile strength. Furthermore, the ranking of the materials in the descending order of the crisp scores was titanium, stainless steel, and cobalt-chromium alloys. Consequently, this study established a foundation for the unbiased assessment and prioritization of current materials. [ABSTRACT FROM AUTHOR]

This paper focuses on the prioritization of factors having substantial effects on the surface roughness of wood and wood-based materials in the sawing process. Within the model, four main factors were defined: cutting tool properties, machining parameters, wood structure and properties, and cutting phenomena. Furthermore, each main factor was subdivided into various subfactors. The analytic hierarchy process method was proposed to obtain the priorities of the factors. The results showed that feed speed, tooth shape and geometry, and cutting speed are the most important factors. Based on the obtained results, it can be said that the most important factors can be easily determined by the proposed method. Consequently, this study presents a road map for the wood industry to achieve a high quality surface. [ABSTRACT FROM AUTHOR]