Ergonomic Room Selection with Intuitive Fuzzy TOPSIS Method

Abstract

The study investigates the suitability of the study rooms in universities in terms of ergonomics by considering the physical risk factors. During this study, the most convenient ergonomic room for academicians working in the same environment has been selected. This selection has been achieved by extending the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to the intuitive fuzzy environment.The physical risk factors of ergonomics have been reviewed in the evaluation of the working environment. For the purpose of this study, five chambers with different characteristics of a university have been chosen as alternatives. The alternatives have been evaluated by three decision-maker academicians in terms of only the physical risk factors (noise and sound, lighting, thermal comfort and ventilation, etc.) criteria of ergonomics. As a result of this study, the most convenient room selection for this group has been provided. TOPSIS method, which is one of the multi-criteria decision-making methods which provide group decision in fuzzy environments, has been used as the methodology of this study.At the end of this study, it has also been shown how the most appropriate room, chosen by using intuitive fuzzy TOPSIS for the academicians participating in the study, has met the expectations of the decision makers. According to the results of the study, the room, chosen according to the decision of the group, has been found to be good for one of the decision-makers and a moderate for the other two.Fuzzy logic is a field that tries to think like a human being and transforms these statements into mathematical functions. Through the use of fuzzy logic, that is one of the artificial intelligence techniques entered into our lives along with developing technology, in several study fields of ergonomic, the development of artificial intelligence in ergonomics will contribute immensely to ergonomics.