Hesitant Triangular Fuzzy Generalized Geometric Heronian Mean in MCDM

Abstract

This paper introduces a new aggregator the Hesitant Triangular Fuzzy Generalized Geometric Heronian Mean (HTFGGHM). The hesitant triangular fuzzy set (HTFS) combined with the GGHHM, makes the HTFGGHM operator capable of ensuring reasonable
aggregation through desirable indexes such as idempotency monotonicity and boundedness. As it will be shown, it manages to retain the inherent uncertainty and correlation of the criteria while offering clear and coherent rankings. Incorporating the carefulness of hesitant fuzzy sets and the compute-intensive power of GGHM, the HTFGGHM operator improves the decision accuracy and hence serve as handy tool to tackle vague situation in a multi-attribute decision-making process.