Title :
Dynamic Balanced Scorecard with Rough Set and Fuzzy Evaluation
Author :
Zheng, Pei ; Lai, Kin Keung ; Zhang, Yuxiang
Author_Institution :
Coll. of Bus. Adm., Hunan Univ., Changsha, China
Abstract :
Supply chain is a dynamic system, which needs dynamic performance measurement methods. Traditional Balanced Scorecard is extended into 5 dimensions. According to it, incorporated with the Rough Set theory and fuzzy evaluation, the decision table of dynamic performance measurement is constructed. This method can obviously reduce the data processing scale, and can reduce computation complexity of measurement model. The decision rule set of performance measurement prediction is obtained by attribute reduct and value reduct of decision table. Finally, a calculation example is provided, which shows that the combined evaluation method is feasible and efficient for dynamic performance measurement and forecasts. Thus, it supplies reasonable analysis and policy making tools for supply chain management.
Keywords :
fuzzy set theory; rough set theory; supply chain management; data processing scale; decision table; dynamic balanced scorecard; dynamic performance measurement methods; fuzzy evaluation; policy making tools; rough set evaluation; rough set theory; supply chain management; Conference management; Current measurement; Educational institutions; Finance; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Supply chain management; Supply chains; Technological innovation; Dynamic Balanced Scorecard; Fuzzy Evaluation; Rough Set;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.14