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Wooden outdoor furniture is a worthwhile investment. When evaluating outdoor furniture, it is important to weigh up decision factors. In situations where there are many conflicting factors, decision-makers become undecided about determining the best furniture option. Hence, this study proposes an interval-valued Pythagorean fuzzy analytic hierarchy process-based model to prioritise the key factors influencing wooden outdoor furniture selection. In light of the aim, five main factors were determined: "safety and health properties", "comfort and appearance properties", "durability and mechanical properties", "economic aspects", and "environmental aspects". Each main factor was then subdivided into various subfactors. Pairwise comparisons were performed to obtain the priorities of the factors. According to the results, "safety and health properties" was the most significant main factor. The most important subfactors were found as "tipping resistance", "environmental friendliness", and "free of harmful substances". [ABSTRACT FROM AUTHOR]

In this study, the fuzzy analytic hierarchy process was employed to prioritize some factors affecting the surface roughness of wood and wood-based materials in CNC machining. Within the model, four main factors and eighteen subfactors were defined. After constructing the hierarchical structure, the factors were analyzed through experts' opinions. The results demonstrated that wood properties and machining parameters were the most significant main factors. Furthermore, density was found to be the most important subfactor. Consequently, the findings of this study will help the wood industry in enhancing the surface quality of final products. [ABSTRACT FROM AUTHOR]