• DocumentCode
    2823846
  • 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
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    853
  • Lastpage
    855
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.14
  • Filename
    5194078