Exploring q-rung Orthopair fuzzy sets based on multi criteria decision making: A systematic literature review

Abstract

This study conducts an in-depth exploration of the q-Rung Orthopair Fuzzy (q-ROF) literature within the context of Multi Criteria Decision Making (MCDM) methods. Comprising four sections, the research investigates studies based on MCDM environments utilizing q-ROFs. The paper introduces three research questions aiming to elucidate the key characteristics, challenges, and application domains of q-ROFs in MCDM. The study employs a systematic approach, conducting a meticulous literature review using databases such as Web of Science, Scopus, and Google Scholar. Notably, 119 studies meeting specific criteria are analyzed, revealing significant trends and patterns. The findings showcase the prevalence of q-ROFs in MCDM since 2020, emphasizing their flexibility and diverse applications. The study concludes by offering insights for future research directions, highlighting the most utilized weighting and ranking methods and suggesting unexplored avenues.