The inverse Data Envelopment Analysis (InvDEA) is an exciting and significant topic in the DEA area. Also, uncertain data various real-life applications can degrade efficiency results. current work addresses InvDEA presence of stochastic data. Under maintaining score, inputs/outputs-estimation problem investigated when some or all its outputs/inputs increase. A novel optimality concept for mult...

This paper establishes some perturbation analysis for the tensor inverse, Moore-Penrose and system based on t-product. In settings of structured perturbations, we generalize Sherman-Morrison-Woodbury (SMW) formula to t-product scenarios. The SMW can be used perform sensitivity a multilinear equations.