Project risk assessment model combining the fuzzy weighted average principle with a similarity measure

Title
Project risk assessment model combining the fuzzy weighted average principle with a similarity measure
Author(s)
장원석Pejman Rezakhani[Pejman Rezakhani]이상욱[이상욱]이동은[이동은]
Keywords
ASSESSMENT METHODOLOGY; CONSTRUCTION PROJECTS; SET APPROACH; NUMBERS; LOGIC; RANKING; UNCERTAINTIES; ALGORITHM; SYSTEM
Issue Date
201403
Publisher
KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
Citation
KSCE JOURNAL OF CIVIL ENGINEERING, v.18, no.2, pp.521 - 530
Abstract
This paper presents a fuzzy risk assessment model for construction projects. The model combines the fuzzy weighted average principle with a similarity measure of generalized fuzzy numbers. The failure probability of each project objective can be evaluated using a discrete fuzzy weighted average algorithm and translated into an appropriate fuzzy linguistic term by using a modified similarity measure determined by considering the area, perimeter, height, and geometric distance of generalized fuzzy numbers. This paper makes practical contributions by suggesting a model that can address the uncertainty associated with construction projects based on fuzzy set theory and facilitate the assessment of fuzzy risks by allowing for sophisticated computations and theoretical contributions by enabling researchers to expeditiously assess project risks. A test case verifies the usability and validity of the proposed method.
URI
http://hdl.handle.net/YU.REPOSITORY/32907http://dx.doi.org/10.1007/s12205-014-0053-x
ISSN
1226-7988
Appears in Collections:
공과대학 > 건설시스템공학과 > Articles
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