Fuzzy set theory for cumulative trauma prediction.

Daniel J. Fonseca; Thomas W. Merritt; Gary P. Moynihan

Mathware and Soft Computing (2001)

  • Volume: 8, Issue: 2, page 129-135
  • ISSN: 1134-5632

Abstract

top
A widely used fuzzy reasoning algorithm was modified and implemented via an expert system to assess the potential risk of employee repetitive strain injury in the workplace. This fuzzy relational model, known as the Priority First Cover Algorithm (PFC), was adapted to describe the relationship between 12 cumulative trauma disorders (CTDs) of the upper extremity, and 29 identified risk factors. The algorithm, which finds a suboptimal subset from a group of variables based on the criterion of priority, was adopted to enable the inference mechanism of a constructed knowledge-based system to predict CTD occurrence.

How to cite

top

Fonseca, Daniel J., Merritt, Thomas W., and Moynihan, Gary P.. "Fuzzy set theory for cumulative trauma prediction.." Mathware and Soft Computing 8.2 (2001): 129-135. <http://eudml.org/doc/39218>.

@article{Fonseca2001,
abstract = {A widely used fuzzy reasoning algorithm was modified and implemented via an expert system to assess the potential risk of employee repetitive strain injury in the workplace. This fuzzy relational model, known as the Priority First Cover Algorithm (PFC), was adapted to describe the relationship between 12 cumulative trauma disorders (CTDs) of the upper extremity, and 29 identified risk factors. The algorithm, which finds a suboptimal subset from a group of variables based on the criterion of priority, was adopted to enable the inference mechanism of a constructed knowledge-based system to predict CTD occurrence.},
author = {Fonseca, Daniel J., Merritt, Thomas W., Moynihan, Gary P.},
journal = {Mathware and Soft Computing},
keywords = {Procesos difusos; Traumatología; Músculo esquelético; Ergonomía; Enfermedades laborales; Diagnóstico clínico; fuzzy reasoning algorithm; expert system},
language = {eng},
number = {2},
pages = {129-135},
title = {Fuzzy set theory for cumulative trauma prediction.},
url = {http://eudml.org/doc/39218},
volume = {8},
year = {2001},
}

TY - JOUR
AU - Fonseca, Daniel J.
AU - Merritt, Thomas W.
AU - Moynihan, Gary P.
TI - Fuzzy set theory for cumulative trauma prediction.
JO - Mathware and Soft Computing
PY - 2001
VL - 8
IS - 2
SP - 129
EP - 135
AB - A widely used fuzzy reasoning algorithm was modified and implemented via an expert system to assess the potential risk of employee repetitive strain injury in the workplace. This fuzzy relational model, known as the Priority First Cover Algorithm (PFC), was adapted to describe the relationship between 12 cumulative trauma disorders (CTDs) of the upper extremity, and 29 identified risk factors. The algorithm, which finds a suboptimal subset from a group of variables based on the criterion of priority, was adopted to enable the inference mechanism of a constructed knowledge-based system to predict CTD occurrence.
LA - eng
KW - Procesos difusos; Traumatología; Músculo esquelético; Ergonomía; Enfermedades laborales; Diagnóstico clínico; fuzzy reasoning algorithm; expert system
UR - http://eudml.org/doc/39218
ER -

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

                
Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.