Determination of the Risk Factors Impact on the Construction Projects Implementation Using Fuzzy Sets Theory

Nabi Ibadov

Abstract

The complexity of construction projects increases the likelihood of hazards affecting their successful implementation. There are many risk factors that lead to the failure of the project. These factors should be identified and ordered both because of their degree of importance (significance) and level (volume) of a given factors. This is very important in order to determine their effect on the construction project. Typically, the threats for the construction project include the extension of the project duration, the increase of the project cost and/or the reduce of the quality of the works. This article aims (1) to identify risk factors that may affect the construction project in Poland in the above-mentioned aspects and (2) to prioritize the significance of those risk factors. Due to the uniqueness of individual construction projects, the potential hazards and their effects are usually characterized by different levels of uncertainty. Unfortunately, it is often a non-statistical uncertainty. For this reason, the degree of significance of risk factors is described and modelled using linguistic variables and elements of the theory of fuzzy sets. This method allows to evaluate the risk of construction projects prior to their implementation.
Author Nabi Ibadov IIB
Nabi Ibadov,,
- The Institute of Civil Engineering
Journal seriesActa Physica Polonica A, ISSN 0587-4246
Issue year2016
Vol130
No12
Pages107-111
Publication size in sheets0.5
DOIDOI:10.12693/APhysPolA.130.10
Languageen angielski
File
Ibadov N..pdf (file archived - login or check accessibility on faculty) Ibadov N..pdf 349.13 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 15.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 0.469 (2) - 2016=0.489 (5)
Citation count*0
Cite
Share Share



* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back