Success evaluation model for project management

dc.contributor.authorDoskočil, Radek
dc.contributor.authorŠkapa, Stanislav
dc.contributor.authorOlšová, Petra
dc.date.accessioned2016-12-15T06:17:22Z
dc.date.available2016-12-15T06:17:22Z
dc.date.issued2016
dc.description.abstract-translatedThe article presents an expert fuzzy model for evaluation of the project success rate. The model is implemented with the use of fuzzy logic. First, fundamental theoretical principles related to the problems of project success rate, fuzzy sets and fuzzy logic are introduced, after which a fuzzy model for project success rate evaluation, including partial sub-models, is presented in the form of a case study which represents the main goal of the article. The fuzzy model is implemented in the MATLAB software environment with the use of the Fuzzy Logic Toolbox application, where it is also veri fi ed and further speci fi ed. The fuzzy model consists of six input variables which are divided according to their character into three categories in each block (RB1, RB2, RB3) and are separately evaluated. Partial outputs from the blocks (RB1, RB2, RB3) are simultaneously inputs for block RB4, from which there is a single output variable – project success (PS). The RB1 rule block evaluates the situation from the point of view of the state of the project. The RB2 rule block evaluates the total value of project risk. The RB3 rule block evaluates project quality. The RB4 rule block evaluates the total project success rate. Experimenting with the fuzzy model allows simulation of the uncertainty that is always involved in projects. The case study introduces an overall diagram of the fuzzy model, the input and output variables, including their attributes, and the evaluation rules of the four rule blocks. The proposed fuzzy model is used to evaluate project success primarily in the implementation phase, then repeatedly after each phase of the project is completed. This provides project managers with a tool that allows relatively rapid evaluation of the success of the project and the opportunity of applying appropriate measures in good time if necessary.en
dc.format19 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2016, č. 4, s. 167-185.cs
dc.identifier.doi10.15240/tul/001/2016-4-012
dc.identifier.doidx.doi.org/10.15240/tul/001/2016-4-012
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/22057
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.rights.accessopenAccessen
dc.subjectprojektový managementcs
dc.subjectúspěšnostcs
dc.subjecthodnocenícs
dc.subjectfuzzy logikacs
dc.subjectrozhodovánícs
dc.subject.translatedproject managementen
dc.subject.translatedsuccessen
dc.subject.translatedevaluationen
dc.subject.translatedfuzzy logicen
dc.subject.translateddecision makingen
dc.titleSuccess evaluation model for project managementen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
Doskocil.pdf
Size:
3.33 MB
Format:
Adobe Portable Document Format
Description:
Plný text
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
OPEN License Selector