Establishing The Most Influencing Causes Of Companies’ Financial Health And Performance – A Grey Fuzzy Approach
AbstractThe core of our paperwork consists in construction of a model for determining a hierarchy of qualitative and quantitative causes that are influencing service companies’ financial health. While the quantitative causes are objectively measurable, the qualitative causes are mainly subjectively measurable, quantified based on some experts’ opinion. In order to reduce the degree of subjectivity, we took advantage of methods offered by fuzzy systems, mainly in construction of the expertons. Expertons are in fact intervals built using the ϕ-fuzzy sub-set and the opinion of several experts over a certain problem. Furthermore, after constructing the expertons, we use the methods offered by grey systems theory and fuzzy sub-sets arithmetic to determine the degree of influence of each qualitative and quantitative cause on company’s performance. By classifying the causes and acting on the most important of them, the activity of the analyst can be really improved and the company’s performance will rise.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by University of Craiova, Faculty of Economics and Business Administration in its journal Annals of Computational Economics.
Volume (Year): 1 (2010)
Issue (Month): 38 (May)
service companies; fuzzy sets; grey systems theory; fuzzy sub-sets arithmetic; financial health;
Find related papers by JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anca Bandoi).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.