Model for evaluating the enterprise performance with triangular fuzzy information

Abstract

In the new knowledge-based economy era when the information technology have the rapid development and play an important role, the enterprise management environment facing great changes and it has entered the era of strategic management theme. Traditional performance evaluation focuses on the interests of stockholder, takes financial data as base and pays attention to the reflection of material assets and the result, therefore it is not capable and enough in a new economy era. Focus on enterprise business strategies, reflecting the interests of shareholders, taking into account the needs of stakeholders are more and more important in the future furious competition. In this paper, we investigate the multiple attribute decision making (MADM) problems for enterprise performance evaluation with triangular fuzzy information. We utilize the triangular fuzzy weighted Einstein Bonferroni mean (TFWEBM) operator to develop the procedure for multiple attribute decision making under the triangular fuzzy environments. Finally, a practical example for enterprise performance evaluation is given to verify the developed approach.