Multi-Attribute Reliability and Maintainability Engineering Assessment Methodology

The ability of humans to make complex decisions is one of the most interesting aspects of human intelligence, especially when judgemental, ambiguous, absense, or erratic knowledge is concerned. This project focuses on the development of a methodology to classify multi-attribute alternatives into evidence blocks for evaluation in automated decision support processes. Anautics developed approach combines both fuzzy set theory and grey system to provide knowledge units to decision makers and systems in the most complex supply system environments. BENEFIT: The developed methodology will be ideal for any organization who has the need for automating processes of their decision methodology using uncertain and dispersed information. As industries including automobile, aerospace and medical progress toward standardized rule-based decision systems, requirements and specifications must be configured from imperfect knowledge. Anautics methodology would insure that availability and performance attributes are available to support systems engineers in the ultimate goal of product improvement.