Szczegóły publikacji
Opis bibliograficzny
Hybrid framework for investment project portfolio selection / Bogdan RĘBIASZ, Bartłomiej GAWEŁ, Iwona SKALNA // W: Advances in business ICT: new ideas from ongoing research / eds. Tomasz Pełech-Pilichowski, Maria Mach-Król, Celina M. Olszak. — Switzerland : Springer, cop. 2017. — (Studies in Computational Intelligence ; ISSN 1860-949X ; vol. 658). — ISBN: 978-3-319-47207-2; e-ISBN: 978-3-319-47208-9. — S. 87–104. — Bibliogr. s. 102–104, Abstr.
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 104565 |
|---|---|
| Data dodania do BaDAP | 2017-04-03 |
| DOI | 10.1007/978-3-319-47208-9_6 |
| Rok publikacji | 2017 |
| Typ publikacji | fragment książki |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Studies in Computational Intelligence |
Abstract
Project selection is a complex multi-criteria decision making process with multiple and often conflicting objectives. The complexity of the project selection problems stems primarily from the large number of projects from among which an appropriate collection (an effective portfolio) of investment projects must be selected. This paper presents a new hybrid framework for construction of an effective portfolio of investment projects. The parameters of the considered model are described using both probability distributions and fuzzy numbers (possibility distributions). The proposed framework enables to take into account stochastic dependencies between model parameters and economic dependencies between projects. As a result, a set of Pareto optimal solutions is obtained. The framework is adapted for enterprises with multistage production cycle, i. e., for enterprises of a metallurgical or chemical industry. The performance of the proposed method is illustrated using an example from metallurgical industry.
