eprintid: 7650
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/76/50
datestamp: 2023-11-09 16:19:28
lastmod: 2023-11-09 16:19:28
status_changed: 2023-11-09 16:10:00
type: article
metadata_visibility: show
creators_name: Shuaib, K.
creators_name: Hussin, H.
creators_name: Abd Majid, M.A.
title: Fuzzy multi-criteria decision making model for risk assessment
ispublished: pub
note: cited By 0
abstract: Decision making and risk assessment are becoming a challenging task in oil and gas due to the risk related to the uncertainty and imprecision. This paper proposed a model for the risk assessment based on multi-criteria decision making (MCDM) method by integrating Fuzzy-set theory. In this model, decision makers (experts) provide their preference of risk assessment information in four categories; people, environment, asset, and reputation. A fuzzy set theory is used to evaluate likelihood, consequence and total risk level associated with each category. A case study is presented to demonstrate the proposed model. The results indicate that the proposed Fuzzy MCDM method has the potential to be used by decision makers in evaluating the risk based on multiple inputs and criteria. © 2006-2016 Asian Research Publishing Network (ARPN).
date: 2016
publisher: Asian Research Publishing Network
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007271655&partnerID=40&md5=4445fe280a3d2f7ebef26a782395104c
full_text_status: none
publication: ARPN Journal of Engineering and Applied Sciences
volume: 11
number: 22
pagerange: 13072-13077
refereed: TRUE
issn: 18196608
citation:   Shuaib, K. and Hussin, H. and Abd Majid, M.A.  (2016) Fuzzy multi-criteria decision making model for risk assessment.  ARPN Journal of Engineering and Applied Sciences, 11 (22).  pp. 13072-13077.  ISSN 18196608