Fuzzy Modeling And Analytic Hierarchy Processing To Quantify Risk Levels Associated With Occupational Injuries .1. The Development Of Fuzzy-Linguistic Risk Levels

    Authors

    P. McCauleyBell;A. B. Badiru

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    IEEE Trans. Fuzzy Syst.

    Keywords

    CARPAL-TUNNEL SYNDROME; REPETITIVE TRAUMA DISORDERS; WORKERS; DESIGN; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

    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.

    Journal Title

    Ieee Transactions on Fuzzy Systems

    Volume

    4

    Issue/Number

    2

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    124

    Last Page

    131

    WOS Identifier

    WOS:A1996UL09200004

    ISSN

    1063-6706

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