Qualitative Evaluation of Knowledge Based Model of Project Time-Cost as Decision Making Support

Radek Doskočil () and Karel Doubravský ()
Additional contact information
Karel Doubravský: Department of Informatics Faculty of Business and Management Brno University of Technology

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 1, 263-280

Abstract: An integral part of effective project management is the knowledge management. Knowledge analyses are based on deep information(equations)or shallow information (verbal description). The paper presents a quantitative evaluation of qualitative knowledge model. Qualitative quantifications are based on three words (increasing, constant, decreasing).Any qualitative model M has a discrete set of qualitative scenarios S. An algorithm is used to generate all possible transitions O among the set of S. A transitional graph T has as nodes scenarios S and as arcs transitions O. Any behaviour of the model M can be described by a sequence of scenarios.A tree R, which is sub-graph of the T graph and can be taken for any qualitative forecasting, is used to evaluate probabilities of different branches of the tree. The presented evaluation provides new knowledge analysis and its main advantage is that no numerical values are needed. The qualitative model shows a seven-dimensional project management problem.

Keywords: equation less model; quantitative evaluation; qualitative tree; decision support; knowledge management; project management. (search for similar items in EconPapers)
JEL-codes: C63 E60 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
ftp://www.eadr.ro/RePEc/cys/ecocyb_pdf/ecocyb1_2017p263-280.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cys:ecocyb:v:50:y:2017:i:1:p:263-280

Access Statistics for this article

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH is currently edited by Gheorghe RUXANDA

More articles in ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH from Faculty of Economic Cybernetics, Statistics and Informatics Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ().