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A SELECTION FUZZY MODEL INVOLVING ASSETS<br />

AND PROJECTS<br />

Adrian Victor BĂDESCU 1 ,<br />

Radu Nicolae CRISTEA & Dana-Maria BOLDEANU<br />

Bucharest Academy of Economic Studies, Romania<br />

ABSTRACT<br />

The last decade has brought on an increase and dynamic diversification of the investments,<br />

most of them focused on traditional securities, with an alert orientation towards alternative<br />

means of investment, like private shares, private debt and real estate investments. By<br />

diversifying various types of assets, the overall risk of the portfolio can be reduced, while the<br />

medium and long term potential benefits may increase. If we consider the transaction costs as<br />

being proportional, we shall use the expected net return and standard deviation as objective<br />

functions. We propose a bi-objective programming model for solving the mixed assets<br />

portfolio selection problem within developed research, by resorting to a series of remarkable<br />

results of the fuzzy theory.<br />

KEYWORDS: Fuzzy model, securities portfolio, expected net return, investment decision<br />

INTRODUCTION<br />

The fuzzy approaches are used frequently for describing and treating uncertain and<br />

imprecise elements from a decision problem. Similarly, fuzzy theory facilitates the<br />

uncertainty analysis of systems in which it is caused by elements of unclear origin,<br />

rather than its random nature, and may be applied in order to mathematically quantify<br />

imprecise observation values, linguistically data or verbal decisions. The group<br />

membership function, a central model of any fuzzy model, is thought as being the<br />

strongest landmark of fuzzy set theory (Munda et al., 1992). In practical applications<br />

concerning set theory, the construction of membership functions is usually<br />

accomplished thru iterations (McNeil and Freiberger, 1994), (Bardossy and<br />

Duckstein, 1995), (Klir and Yuan, 1996).<br />

Together with fuzzy theory and probability analysis, the existing approach methods<br />

for uncertainty and imprecision also include another version, based on using interval<br />

mathematics. In many cases, using intervals for expressing the variation of certain<br />

coefficients may serve the purpose of research to a greater extent. (Alefeld and Mayer,<br />

1996)<br />

It has been frequently suggested that the origin of modern mathematical models in<br />

finances resides in Louis Bachelier’s dissertation over speculation theory. However<br />

true that may be, there is no doubt that Markowitz’s research regarding portfolio<br />

1 Correspondence address: Adrian Victor BĂDESCU, Bucharest Academy of Economic Studies,<br />

Romania; email: badescuadi@gmail.com<br />

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