Assessing E-waste recycling programs by developing preference selection index under interval type-2 fuzzy uncertainty

End-of-life electronic and electrical waste, referred to as e-waste, has recently formed the rapidest increasing group of waste streams worldwide. Having some well-designed plans for managing this waste is essential. One of the most effective ways is to assess and select the most effective e-waste recycling programs. Since these plans require considering different aspects and criteria, applying multi-criteria decision-making method could provide practical results. Another important factor in this process is uncertainty that should be properly addressed. This paper presents a novel decision-making method to effectively assess e-waste recycling programs under uncertainty. The proposed model applies triangular interval type-2 fuzzy sets (TIT2FSs) to handle the uncertain environment of the process and extends the concept of preference selection index to type-2 fuzzy uncertainty to increase effectiveness of the process. Eventually, to present the applicability of the proposed model, an existing example from the literature is solved by the proposed model.