IBM Journal of Research and Development
Knowledge-Based Systems
Designing a knowledge-based system for benchmarking: A DEA approach
Knowledge-Based Systems
A case-based knowledge system for safety evaluation decision making of thermal power plants
Knowledge-Based Systems
Extensible Prototyping for pragmatic engineering of knowledge-based systems
Expert Systems with Applications: An International Journal
A Conceptual Model for Knowledge Marts for Decision Making Support Systems
International Journal of Decision Support System Technology
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This paper develops a knowledge based decision support system (KBDSS) that acquires and quantifies the work-related risks on musculoskeletal disorder specifically, shoulder and neck pain (SNP) that is a prevalent pain complaint within the working environment. Quantifying SNP subjective risk factors helps the physician in decision making. The objective involves knowledge acquisition performed through literature analysis, traditional and concept mapping interviews with neurology, orthopedic, psychology and physiotherapy experts to identify risk factors that include mechanical, physical and psychosocial categories. The determination of ranking the relative factor importance has accomplished using analytic hierarchy processing (AHP) analysis. Capturing domain expert (DE) knowledge and quantifying risk factors produce KBDSS.