Publication detail

Multicriterial Projects Selection

KLAPKA, J. PIŇOS, P. ŠEVČÍK, V.

English title

Multicriterial Projects Selection

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

Decision support system described here makes it possible to carry out multicriterial selection of hundreds of projects simultaneously, with tens of criterion functions with bivalent variables including polynomial ones and quotients of linear functions, and tens of resources limitations. Stewart's idea (1991) of the special scalarizing function based on the modified reference point approach, which has been hitherto applied for linear benefits and for balance criteria functions only, and its optimization by effective gradient method is used here in the situation described by Santhanam and Kyparisis (1995), involving synergistic effects of second- and third-orders in benefit and cost criterion function, and in resource requirements respecting resource sharing and hierarchical contingency relationships among candidate projects. In addition, the system enables us making the dialogue of the solution in a way of adaptive creation of weights of criterion functions and also flexible projects portfolio changes. A test of efficiency is presented. In the present chapter an actualized explication of our method published in [Klapka, Piňos 2002] is given.

Keywords in English

decision support systems, multiple criteria analysis, project management and scheduling

Released

2013-01-01

Publisher

Springer-Verlag Berlin Heidelberg

Location

Berlin Heidelberg

ISSN

1868-4394

Journal

Intelligent Systems Reference Library

Volume

38

Number

1

Pages from–to

245–261

Pages count

16

BIBTEX


@article{BUT92890,
  author="Jindřich {Klapka} and Petr {Piňos} and Vítězslav {Popovský}",
  title="Multicriterial Projects Selection",
  journal="Intelligent Systems Reference Library",
  year="2013",
  volume="38",
  number="1",
  pages="245--261",
  doi="10.1007/978-3-642-30504-7\{_}10",
  issn="1868-4394",
  url="http://dx.doi.org/10.1007/978-3-642-30504-7_10"
}