By Topic

Fuzzy modeling and analytic hierarchy processing to quantify risk levels associated with occupational injuries. I. The development of fuzzy-linguistic risk levels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
McCauley-Bell, P. ; Dept. of Ind. Eng. & Manage. Syst., Central Florida Univ., Orlando, FL, USA ; Badiru, A.B.

This paper presents the 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 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

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:4 ,  Issue: 2 )