Best product end-of-life scenario selection by a new decision-making process under Atanassov fuzzy uncertainty

Each year, larger amounts of worn out products are generated and their disposal has made the problem of best product end-of-life (EOL) scenario selection an important problem. Due to uncertain markets and technological advancements, uncertainty plays a vital role in any production related decision-making process. Here, EOL selection problem under uncertainty is addressed through introducing a new decision-making process based on the concept of preference selection index and Atanassov (intuitionistic) fuzzy sets. This model can effectively solve complex problems under uncertainty by allowing the decision makers and experts to express their hesitation and lack of knowledge as well as their expertise. To illustrate the presented approach, an example in the literature is solved; then, the results are presented and discussed.