Solving Fuzzy Slack-based Measure Model by Possibilistic Programming Approach

Evaluating performance is an important issue, which is participated in every operation. In the context of performance evaluation, data envelopment analysis (DEA) is a pioneer tool and in the DEA models, slack-based measure of efficiency (SBM) model is the best. Yet in fuzzy slack based measure of efficiency, there was not a method that can evaluate systems with more than one fuzzy inputs and outputs. By considering this, that estimating all activities with crisp numbers is not available in each activity therefor, there is an acute need for a method which can work on this type of data for evaluating performance of these systems. In this paper, by converting fuzzy SBM model to an linear fuzzy model and imposing possibilistic programming approach, a new method for solving fuzzy slack- based measure of efficiency has been offered

کلیدواژه ها:

Data envelopment analysis ، fuzzy linear programming ، possibilistic programming ، fuzzy SBM model