Title

Fuzzy modeling and analytic hierarchy processing - Means to quantify risk levels associated with occupational injuries - Part II: The development of a fuzzy rule-based model for the prediction of injury

Abstract

This paper presents the second phase in a two-part research project to develop a fuzzy rule-based expert system for predicting occupational injuries of the forearm and hand. Analytic hierarchy processing (AHP) is used to assign relative weights to the identified risk factors. A fuzzy rule base is constructed with all of the potential combinations for the given factors. The input parameters are linguistic variables obtained in the first part of the research. These inputs are fuzzified and defuzzified to provide two system outputs: a linguistic value and a numeric value as a prediction of injury. The system provides linguistic risk levels as well as quantified risks in assessing the overall risk of injury. The system evaluation was conducted resulting in calculations for Type I and Type II errors. The contributions and limitations of the system are discussed. © 1996 IEEE.

Publication Date

12-1-1996

Publication Title

IEEE Transactions on Fuzzy Systems

Volume

4

Issue

2

Number of Pages

132-138

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/91.493907

Socpus ID

0030141470 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0030141470

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