Data Envelopment Analysis on the Context of Spherical Fuzzy Inputs and Outputs

In this study, Data Envelopment Analysis (DEA) models are improved by employing spherical fuzzy sets (SFSs), which is an extension of generalized sets. SFSs were recently introduced as a novel type set that allows decision-makers to express their level uncertainty directly. As result, provide more preferred domain for decision-makers. Fundamental Charnes-Cooper-Rhodes (CCR) model discussed on the context trapezoidal numbers (STrFNs), consider each data value’s truth, indeterminacy, and falsehood degrees, unique solution technique implemented. This method converts DEA(SF-DEA) into three pair crisp DEA model, may then be solved using one many existing approaches. The largest optimal interval determined DMU such efficiency score lies inside interval. Furthermore, example demonstrates clearly explains DMUs’ ranking technique.