Dynamic balanced scorecard with rough set and fuzzy evaluation

Pei Zheng; Kin Keung Lai; Yuxiang Zhang

doi:10.1109/CSO.2009.14

Dynamic balanced scorecard with rough set and fuzzy evaluation

Pei Zheng^*
, Kin Keung Lai
, Yuxiang Zhang

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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. © 2009 IEEE.

Original language	English
Title of host publication	Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Pages	853-855
Volume	2
DOIs	https://doi.org/10.1109/CSO.2009.14
Publication status	Published - 2009
Event	2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 - Sanya, Hainan, China Duration: 24 Apr 2009 → 26 Apr 2009

Publication series

Name
Volume	2

Conference

Conference	2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Place	China
City	Sanya, Hainan
Period	24/04/09 → 26/04/09

Access Output

10.1109/CSO.2009.14

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{4391f4ba3d394daea49e46f64d979564,

title = "Dynamic balanced scorecard with rough set and fuzzy evaluation",

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. {\textcopyright} 2009 IEEE.",

author = "Pei Zheng and Lai, \{Kin Keung\} and Yuxiang Zhang",

year = "2009",

doi = "10.1109/CSO.2009.14",

language = "English",

isbn = "9780769536057",

volume = "2",

pages = "853--855",

booktitle = "Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009",

note = "2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 ; Conference date: 24-04-2009 Through 26-04-2009",

}

Zheng, P, Lai, KK & Zhang, Y 2009, Dynamic balanced scorecard with rough set and fuzzy evaluation. in Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009. vol. 2, 5194078, pp. 853-855, 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009, Sanya, Hainan, China, 24/04/09. https://doi.org/10.1109/CSO.2009.14

Dynamic balanced scorecard with rough set and fuzzy evaluation. / Zheng, Pei; Lai, Kin Keung; Zhang, Yuxiang.
Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009. Vol. 2 2009. p. 853-855 5194078.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Dynamic balanced scorecard with rough set and fuzzy evaluation

AU - Zheng, Pei

AU - Lai, Kin Keung

AU - Zhang, Yuxiang

PY - 2009

Y1 - 2009

N2 - 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. © 2009 IEEE.

AB - 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. © 2009 IEEE.

UR - https://www.scopus.com/pages/publications/70449377824

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-70449377824&origin=recordpage

U2 - 10.1109/CSO.2009.14

DO - 10.1109/CSO.2009.14

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780769536057

VL - 2

SP - 853

EP - 855

BT - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009

T2 - 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009

Y2 - 24 April 2009 through 26 April 2009

ER -

Dynamic balanced scorecard with rough set and fuzzy evaluation

Abstract

Publication series

Conference

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this