DocumentCode :
2906081
Title :
A Proactive Fuzzy Cognitive Balanced Scorecard
Author :
Chytas, Panagiotis ; Glykas, Michael ; Valiris, Georgo
Author_Institution :
Dept. of Bus. Adm., Aegean Univ., Chios
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
1331
Lastpage :
1338
Abstract :
This paper describes a methodology for the development of a proactive balanced scorecard (PBSCM). The balanced scorecard is one of the most popular approaches developed in the field of performance measurement. However, in spite of its reputation, there are issues that require further research. The present research addresses the problems of the balanced scorecard by utilizing the soft computing characteristics of fuzzy cognitive maps (FCMs). By using FCMs, the proposed methodology generates a dynamic network of interconnected key performance indicators (KPI), simulates each KPI with imprecise relationships and quantifies the impact of each KPI to other KPIs in order to adjust targets of performance.
Keywords :
directed graphs; fuzzy set theory; inference mechanisms; fuzzy cognitive maps; key performance indicators; performance measurement; proactive fuzzy cognitive balanced scorecard; Analytical models; Computational modeling; Conference management; Customer relationship management; Financial management; Fuzzy cognitive maps; Fuzzy systems; Measurement; Predictive models; Signal generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7584
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2008.4630545
Filename :
4630545
Link To Document :
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