The utilisation of Fuzzy Logic in Corporate Governance assessment in business economics

Kevin Lock-Teng Low and Wai-Ching Poon

International Journal of Corporate Governance, 2008, vol. 1, issue 2, 146-161

Abstract: Rankings in CG become an important issue to oversee/judge companies who practice governance. Fuzzy Logic (FL) is a powerful tool that has been used in diverse fields of applications ranging from engineering to business or finance. This paper applies the tools of FL to design an approach that will rate the level of application of CG. Financial Disclosure (FD) and Board Structure (BS) will be the key variables that would be employed to achieve this task. The integration of an FL model to CG will be highlighted graphically to enhance the findings of the research.

Keywords: corporate governance; fuzzy logic; financial disclosure; board structure. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=20628 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcgov:v:1:y:2008:i:2:p:146-161

Access Statistics for this article

More articles in International Journal of Corporate Governance from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().