Joint Treatment of Imprecision and Randomness in the Appraisal of the Effectiveness and Risk of Investment Projects
This paper proposes a new method for evaluating the effectiveness and risk of investment projects in the presence of both fuzzy and stochastic uncertainty. The main novelty of the proposed approach is the ability to take into account dependencies between uncertain model parameters. Thanks to this extra feature, the results are more accurate. The method combines non-linear programming with stochastic simulation, which are used to model dependencies between stochastic parameters, and interval regression, which is used to model dependencies between fuzzy parameters (possibility distributions). To illustrate the general idea and the effectiveness of the proposed method, an example from metallurgical industry is provided.
KeywordsRisk of investment projects Fuzzy random variable Stochastic simulation Interval regression
- 1.Baraldi, P., et al.: Monte Carlo and fuzzy interval propagation of hybrid uncertainties on a risk model for the design of a flood protection dike. Advances in Safety, Reliability and Risk Management: ESREL (2011)Google Scholar
- 7.Dimova, L., Sevastiyanov, D., Sevastiyanov, P.: Application of fuzzy sets theory, methods for the evaluation of investment efficiency parameters. Fuzzy Econ. Rev. 5(1), 34–48 (2000)Google Scholar
- 18.Rębiasz, B., Gaweł, B., Skalna, I.: Hybrid framework for investment project portfolio selection, In: 2014 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1117–1122. IEEE (2014)Google Scholar
- 19.Skalna, I. et al.: Advances in Fuzzy Decision Making, pp. 75–77. Springer (2015)Google Scholar
- 21.Ward, T:, Discounted fuzzy cash flows analysis, In: Proceedings of the 1985 Fall Industrial Engineering Conference, pp. 476–481 (1985)Google Scholar