Title
Fuzzy modeling and analytic hierarchy processing to quantify risk levels associated with occupational injuries - Part I: The development of fuzzy-linguistic risk levels
Abstract
This paper presents Part I in a two-phase research project to develop a fuzzy-linguistic expert system for quantifying and predicting the risk of occupational injury, specifically, cumulative trauma disorders (CTD's) of the forearm and hand. This aspect of the research focuses on the development and representation of linguistic variables to qualify risk levels. These variables are then quantified using fuzzy-set theory, thus allowing the model to evaluate qualitative and quantitative data. These linguistic risk variables may be applied to other potentially hazardous environments. The three phases of the knowledge acquisition and variable development are covered, as well as the feasibility of the linguistic variables. © 1996 IEEE.
Publication Date
12-1-1996
Publication Title
IEEE Transactions on Fuzzy Systems
Volume
4
Issue
2
Number of Pages
124-131
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/91.493906
Copyright Status
Unknown
Socpus ID
0030148928 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0030148928
STARS Citation
McCauley-Bell, Pamela and Badiru, Adedeji B., "Fuzzy modeling and analytic hierarchy processing to quantify risk levels associated with occupational injuries - Part I: The development of fuzzy-linguistic risk levels" (1996). Scopus Export 1990s. 2655.
https://stars.library.ucf.edu/scopus1990/2655