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KLAPKA, J. PIŇOS, P. ŠEVČÍK, V.
Original Title
Multicriterial Projects Selection
Type
journal article - other
Language
English
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
decision support systems, multiple criteria analysis, project management and scheduling
Authors
KLAPKA, J.; PIŇOS, P.; ŠEVČÍK, V.
RIV year
2013
Released
1. 1. 2013
Publisher
Springer-Verlag Berlin Heidelberg
Location
Berlin Heidelberg
ISBN
1868-4394
Periodical
Intelligent Systems Reference Library
Year of study
38
Number
1
State
Federal Republic of Germany
Pages from
245
Pages to
261
Pages count
16
URL
http://dx.doi.org/10.1007/978-3-642-30504-7_10
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" }