A Novel Balanced Scorecard Design Based on Fuzzy Analytic Network Process and its Application

In this paper, we propose a novel balanced scorecard design based on fuzzy analytic network process and then conduct performance evaluation through a case study. After analyzing the related works about balanced scorecard design and the algorithm of fuzzy analytic network process, we illustrate the improved balanced scorecard design. Firstly, the basic concepts for the balanced scorecards are introduced. Secondly, four perspectives of the balanced scorecards design are provided. Thirdly, the method to promote the performance of balanced scorecard design through the fuzzy analytic network process is demonstrated. In the proposed design, a fuzzy number is represented by the left and right formation of each degree of membership in fuzzy analytic network process. Furthermore, the degree possibility for a convex fuzzy number to be larger than a given convex fuzzy numbers can be represented by an effective scheme. Particularly, the basic structure in the fuzzy analytic network process model is organized hierarchically, and the local weights of the strategies, balanced scorecard perspectives and performance indicators can be obtained by matrix computing. Finally, a case study of college English classroom teaching quantitative evaluation is given to demonstrate the performance of the proposed balanced scorecard design. Experimental results show that the proposed balanced scorecard design is quite effective.