Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2006-07-25
2006-07-25
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S045000, C706S047000
Reexamination Certificate
active
07082423
ABSTRACT:
A methodology for prioritizing between a number of anticipated problems employs a mathematical formula that considers probability and seriousness for each of a plurality of identified problems. Each of a plurality of problems is assigned a value for its seriousness, a value for its coefficient of seriousness, and a value for the probability of its occurrence. Once each of the identified problems is assigned these numerical values, then for each problem, the values of probability (P), coefficient of seriousness (σ) and seriousness (S) are entered into the following formula: [P×S]+[σ×S]=RP. The relative priority (RP) value that is calculated by this formula for each rated problem is then ranked to enable the decision-maker to decide which problems deserve to receive the most attention in the shortest period of time.
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Knight Anthony
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