A satisficing method of introducing the concepts of fuzzy goal and fuzzy constraints into the DEA

Evaluation of efficiency of the DMUs (Decision Making Units) in a company can be carried out with the help of DEA (Data Envelopment Analysis). The efficiency calculated for a DMUo with the help of DEA is, however, higher than the maximum efficiency among the single object-single output results. It can be postulated that total efficiency is constrained between the limits thus obtained. Within this context we introduce the concepts of fuzzy goal and fuzzy constraints into the DEA formulation, propose the satisficing method following the precepts of the maximizing decision introduced by Bellman and Zadeh, and the improvement procedure for the satisficing solution using the dialogue with the DM over the tradeoff rate for two inputs, developed by Sakawa.