A fuzzy analytic hierarchy processing decision support system to analyze occupational menace forecasting the spawning of shoulder and neck pain

Authors:
T. Padma;P. Balasubramanie
Affiliations:
Department of Computer Applications, Sona College of Technology, Salem 636005, Tamilnadu, India;Department of Computer Science, Kongu Engineering College, Perundurai, Erode 638052, Tamilnadu, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 7
Cited 0

A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness

Computers and Industrial Engineering
Computer-aided machine-tool selection based on a Fuzzy-AHP approach

Expert Systems with Applications: An International Journal
Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP

Expert Systems with Applications: An International Journal
Computer aided rapid tooling process selection and manufacturability evaluation for injection mold development

Computers in Industry
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management

Information Sciences: an International Journal
Fuzzy Analytical Hierarchy Process in Maintenance Problem

IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
A fuzzy linguistic model for the prediction of carpal tunnel syndrome risks in an occupational environment

IBM Journal of Research and Development

Quantified Score

Hi-index	12.05

Visualization

Abstract

This research provides an analytical tool, fuzzy decision support system (FDSS), to find the precedence of jeopardy in occupations spawning shoulder and neck pain (SNP), an important musculoskeletal disorder and the most ubiquitous pain complaint in an occupational environment. FDSS evaluates and prioritizes the relative importance of the imprecise, uncertain and vague nature of risk factors causing occupational SNP. The objective involves derivation of mechanical-, physical- and psychosocial-related risk categories using knowledge acquisition implemented by identifying the risk factors through literature analysis, conventional and concept mapping interviews with expert neurologists, orthopedists, psychologists and physiotherapists. Fuzzy analytic hierarchy process is applied as an evaluation tool to measure the significance of the risk factors in each occupation. The results indicate that the proposed system supplements SNP diagnosis experts with more precise key decision support information. This assists health care organizations to systematically identify appropriate occupations that grounds high risk for the occurrence of SNP and so the curative practices can be executed effectively.