FUZZY ST MODEL FOR DATA ENVELOPMENT ANALYSIS

Traditional data envelopment analysis (DEA) models for evaluating the relative efficiency of a set of entities called decision making units (DMUs) are limited to precise data. In practical evaluation problems, input and output data which are collected from observation or investigation are often imprecise. In the case, many fuzzy DEA models are proposed, and previous research focused on solving the fuzzy DEA model under the constant returns to scale or the variable returns to scale. In this work, the fuzzy DEA model with nondecreasing returns to scale is studied. Imprecise input and output data are represented by fuzzy sets, and the centroid formula is introduced to evaluate DMUs. In order to illustrate the proposed fuzzy model, an illustrative example is provided.