Fuzzy Modeling And Analytic Hierarchy Processing - Means To Quantify Risk Levels Associated With Occupational Injuries .2. The Development Of A Fuzzy Rule-Based Model For The Prediction Of Injury

    Authors

    P. McCauleyBell;A. B. Badiru

    Comments

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    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 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.

    Journal Title

    Ieee Transactions on Fuzzy Systems

    Volume

    4

    Issue/Number

    2

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    132

    Last Page

    138

    WOS Identifier

    WOS:A1996UL09200005

    ISSN

    1063-6706

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