<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This article describes the problem of using fuzzy logic in the forecasts of variants of the results of implemented investment projects. It also shows the possibility of using calculations with the application of fuzzy triangular numbers L-R in the variants of results: an optimistic result, a pessimistic result and the most probable result (the central result). Moreover, the article draws attention to the possibility of using fuzzy numbers to estimate fuzzy risk of a forecasted financial result of a company. In addition, the article presents how a dividend may be shaped in consideration of multiplicity of variants if dividend policy takes into account dependence on company results as well as implemented investment projects.</p></abstract>

This article describes the problem of using fuzzy logic in the forecasts of variants of the results of implemented investment projects. It also shows the possibility of using calculations with the application of fuzzy triangular numbers L-R in the variants of results: an optimistic result, a pessimistic result and the most probable result (the central result). Moreover, the article draws attention to the possibility of using fuzzy numbers to estimate fuzzy risk of a forecasted financial result of a company. In addition, the article presents how a dividend may be shaped in consideration of multiplicity of variants if dividend policy takes into account dependence on company results as well as implemented investment projects.

Influence of Investment Projects on Dividend Policy of a Company in Conditions of Fuzzy Information

Ph.D. University of Economics in Katowice Faculty of Finance and Insurance Department of Investments and Real Estate 1 Maja 50, 40-287 Katowice, Poland

Folia Oeconomica Stetinensia

This article describes the problem of using fuzzy logic in the forecasts of variants of the results of implemented investment projects. It also shows the...

Influence of Investment Projects on Dividend Policy of a Company in Conditions of Fuzzy Information

Published Online: Mar 15, 2013

Page range: 86 - 96

DOI: https://doi.org/10.2478/v10031-012-0016-7

This content is open access.