Success Evaluation Model for Project Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F16%3APU121275" target="_blank" >RIV/00216305:26510/16:PU121275 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ekonomie-management.cz/download/1480960693_702e/12_SUCCESS+EVALUATION+MODEL.pdf" target="_blank" >http://www.ekonomie-management.cz/download/1480960693_702e/12_SUCCESS+EVALUATION+MODEL.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15240/tul/001/2016-4-012" target="_blank" >10.15240/tul/001/2016-4-012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Success Evaluation Model for Project Management

Popis výsledku v původním jazyce

The 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 verified and further specified. 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.

Název v anglickém jazyce

Success Evaluation Model for Project Management

Popis výsledku anglicky

The 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 verified and further specified. 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

E a M: Ekonomie a Management

ISSN

1212-3609

e-ISSN

—

Svazek periodika

19

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

19

Strana od-do

167-185

Kód UT WoS článku

000393198000012

EID výsledku v databázi Scopus

2-s2.0-85006013729