rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Development of mathematical model of fuzzy risk analysis in construction projects
  name:
    name part: Chaher, Zid
    role:
      role term: creator
  name:
    name part: International Islamic University Malaysia
    name part: Department of Architecture
  genre: Theses, IIUM local
  origin info:
    place:
      place term: my
    place:
      place term: Gombak, Selangor
    publisher: Kulliyyah of Architecture and Environmental Design, International Islamic University Malaysia
    date issued: 2017
  language:
    language term: eng
  physical description:
    extent: xv, 182 leaves : ill. ; 30cm.
  abstract: Construction projects are more subjective and risky compared to other projects due to the unique characteristics of construction activities and high level of uncertainty such as topographical factors of project, changing of weather, sort of project, the effects of economy, sub-contractor accessibility, and the impacts of politics, etc. Risk analysis and management of the project is the first key to achieve adequate level of project success. Previous few studies have been done to quantify risk analysis utilizing different methods, for example, Monte Carlo, Event Tree Analysis (ETA), Failure Mode and Effect Analysis, Risk Matrix. However, some of those methods are either limited and hard to be used or do not support the quantitative method because of the required measure of information to quantify and analyse the risk factors. Moreover, modern construction and new sophisticated design have shown significant obstacles and uncertainties to complete the project safely with success; thereby it is inevitable to search for a new approach to deal with uncertainties. The fuzzy system has the ability to convert the natural verbal human thoughts to computational comprehensive intervals, deliver the accurate reasoning process, and deal with inexact and vague information. Thus, this leads to an absolute result, fewer failures, and a lower tolerance for risk in construction projects. This research defines the critical factors in construction project success, namely the iron triangle time-cost-quality in the projects, reviews some techniques and methods in engineering construction projects, conducts an original contribution to develop a quantitative risk analysis method using fuzzy logic and validate the result in software Matlab. This research also describes the stages of the fuzzy risk analysis model which is developed to assess the risks related to construction projects and their uncertainties based on evaluations of the criteria of project success which represents the iron tria…
  note: by Zid Chaher
  note: Thesis (MSBE)--International Islamic University Malaysia, 2017.
  note: Includes bibliographical references (leaves 137-148).
  subject:
    geographic code: a-my---
  classification: TH438
  identifier: http://studentrepo.iium.edu.my/handle/123456789/2624
  record info:
    record content source: UIAM
    record creation date: 171123
    language of cataloging:
      language term: eng