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USING TREND MODELLING TO SUPPORT PROJECT SCHEDULING, MANAGEMENT, AND PREDICTION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F23%3APU149977" target="_blank" >RIV/00216305:26510/23:PU149977 - isvavai.cz</a>

  • Result on the web

    <a href="https://ecocyb.ase.ro/nr2023_4/05_RadekDoskocil_KarelDoubravsky.pdf" target="_blank" >https://ecocyb.ase.ro/nr2023_4/05_RadekDoskocil_KarelDoubravsky.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24818/18423264/57.4.23.05" target="_blank" >10.24818/18423264/57.4.23.05</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    USING TREND MODELLING TO SUPPORT PROJECT SCHEDULING, MANAGEMENT, AND PREDICTION

  • Original language description

    Project management is implemented as a finite sequence of diverse decisions. Every decision-making is based on information. The broad spectrum of information contains various types of data. Data having an exact representation, e.g. phenomena described by equations. Data that cannot have such a representation, e.g. experience, intuition, feelings. Such trend modelling allows us to work with this type of data. The article deals with the use of trend modelling as a support for project management and prediction under uncertainty. The solution of a trend model is a set of scenarios. These scenarios represent possible project states. A multi-criteria trend decision process allows one to identify the optimal project state(s). Based on the set of scenarios, a transition graph can be created, which can be used to determine all possible paths to get to this optimal state. The application of trend modelling is shown in a model of a project based on a six-pointed star.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Economic Computation and Economic Cybernetics Studies and Research

  • ISSN

    0424-267X

  • e-ISSN

    1842-3264

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    RO - ROMANIA

  • Number of pages

    15

  • Pages from-to

    75-90

  • UT code for WoS article

    001150158300011

  • EID of the result in the Scopus database

    2-s2.0-85180426734