ENHANCEMENT OF ASSESSMENT OF THE INTANGIBLE ASSETS OF THE COMPANIES BY MEANS OF SUBTLE SETS

  • Andrei Diamandescu ”Nicolae Titulescu” University, Bucharest, Romania,
  • Ion Ioniță Bucharest University of Economic Studies, Bucharest, Romania
DOI: https://doi.org/10.12955/cbup.v5.910
Keywords: goodwill, fuzzy sets theory, subtle sets theory, movable assets, tangible assets

Abstract

The reason for approaching this topic in our article starts from the fact that the value of goodwill (GW), which is an indicator that expresses the intangible value of the company, that is a factor with essential contribution to the company’s market value, is determined through a method which we consider to be imprecise – respectively as difference between the price of sale of the asset and the value estimated by the evaluator. Or, the result obtained by this method is not accurate, and it does not answer the knowledge and information needs of the manager. In this article, we refer to the fact that managers also want to know, besides the GW, the factors that contributed to its achievement and factors that contributed to its achievement and in what percentage. The need appears more important in cases of the sale of companies when both the buyer and the seller are interested in establishing a fair price, based on the market value of the company in question. Starting from this practical requirement, the authors plan to elaborate econometric models based fuzzy set, by which they would determine the right level of the goodwill and to provide information in connection with the generating factors

References

Cardano G. (1554). De subtilitate (About subtlety), Basileae, per Ludouicum Lucium

Ioniță, I. (2008). Evaluarea afacerilor. (Business Assessment) Editura ASE, București

Ioniță, I., Banacu, C., Stoica, M. (2004). Evaluarea organizațiilor. (Assessment of Organizations) Editura Economică, București

Ioniță, I., Stoica, M., (2009). A New Approach Method of Company Valuation. Romanian Journal of Economic Forecasting, Vol. X, nr. 1

Mordeson, J.N., Davender, S. Malik, Terry D. Clark (2014). Application of Fuzzy Logic to Social Choice Theory. Series: Monographs and Research Notes in Mathematics

Stoica, M., Nicolae, D., Cantau, D., Andreica, M. (2006). Metode și modele de previziune economica. (Methods and Models of Economic Forecasting) Editura Universitară, București

Zadeh, L. (1965). Fuzzy Sets. Information and Control, nr. 8

Published
2017-09-22
Issue
Vol 5 (2017): CBU International Conference Proceedings 2017
Section
Economics and Business
Copyright (c) 2017 Andrei Diamandescu, Ion Ioniță

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