Publication detail

QUALITATIVE EVALUATION OF KNOWLEDGE BASED MODEL OF PROJECT TIME-COST AS DECISION MAKING SUPPORT

DOSKOČIL, R. DOUBRAVSKÝ, K.

Original Title

QUALITATIVE EVALUATION OF KNOWLEDGE BASED MODEL OF PROJECT TIME-COST AS DECISION MAKING SUPPORT

Type

journal article in Web of Science

Language

English

Original 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.

Authors

DOSKOČIL, R.; DOUBRAVSKÝ, K.

Released

1. 2. 2017

Publisher

Academy of Economic Studies, Department of Economic Cybernetics

Location

Bucharest, Romania

ISBN

0424-267X

Periodical

Economic Computation and Economic Cybernetics Studies and Research

Year of study

51

Number

1

State

Romania

Pages from

263

Pages to

280

Pages count

17

URL

http://www.ecocyb.ase.ro/Articles2017_1.htm

BibTex

@article{BUT134523,
  author="Karel {Doubravský} and Radek {Doskočil}",
  title="QUALITATIVE EVALUATION OF KNOWLEDGE BASED MODEL OF PROJECT TIME-COST AS DECISION MAKING SUPPORT",
  journal="Economic Computation and Economic Cybernetics Studies and Research",
  year="2017",
  volume="51",
  number="1",
  pages="263--280",
  issn="0424-267X",
  url="http://www.ecocyb.ase.ro/Articles2017_1.htm"
}