SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Yan H, Gao C, Elzarka H, Mostafa K, Tang W. Safety Sci. 2019; 118: 583-594.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.ssci.2019.05.042

PMID

unavailable

Abstract

Taken all factors into consideration regarding the uncertainties of urban rail transit projects construction and incompatibility of the assessment conclusion, this paper proposes a vague fuzzy matter-element model for the risk assessment by combining vague set and matter-element theory. The risk assessment index system is based on a Work Breakdown Structure (WBS) - Risk Breakdown Structure (RBS) risk identification matrix. Risk assessment indicators are features of the matter, and values of risk indicators are vague values; Correlation transformation is operated on optimal subordinate degree, and the weights of risk assessment indicators were defined by structure entropy weight method. The level of the risk matter evaluated was then determined, according to the principle of maximum proximity. At last, the practicability and effectiveness of the proposed model was verified by a case study.


Language: en

Keywords

Construction Risk Assessment; Fuzzy Matter-Element; Structure Entropy Weight; Urban rail transit projects; Vague Set

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print