Detail publikace

Multicriterial Projects Selection

KLAPKA, J. PIŇOS, P. ŠEVČÍK, V.

Anglický název

Multicriterial Projects Selection

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

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

Vydáno

2013-01-01

Nakladatel

Springer-Verlag Berlin Heidelberg

Místo

Berlin Heidelberg

ISSN

1868-4394

Časopis

Intelligent Systems Reference Library

Ročník

38

Číslo

1

Strany od–do

245–261

Počet stran

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"
}