Fuzzy Multiple Attribute Decision Making Model for Choosing Environmental Education Method in Vocational and Technical Schools

Due to the presence of vocational and technical graduates in all economic activities, they should be trained in such a way that to be aware of the impact of their work and decision on the environment. In this regard, in this study we try to offer a fuzzy multiple attribute decision making model based on the environmental competency criteria for choosing an environmental education method in vocational and technical schools. For this purpose in the first by searching scientific resources, as well as discussions with experts, environmental competency criteria of technical and vocational graduates were identified, then three different questionnaires were designed for data collection and after distributing and collecting questionnaires among research experts, entropy Shanon method and hybrid DEMATEL-ANP approach were used for weighting and prioritizating of mentioned criteria. The results were used for ranking of environmental education methods using fuzzy Electre, fuzzy Topsis and fuzzy Saw. Since the results of the above-mentioned methods are not consistent with each other in some cases, for reaching a general consensus, the POSET method was used and finally, a fuzzy multiple attribute decision making model was proposed to select the best environmental education method in technical and vocational schools. The results show that prioritizing of environmental competency criteria is vary depending on the type of weighting techniques and group discussion is the most appropriate teaching method of environmental education.