Question: Old MathJax webview Table 1 shows a rule base with four rules about boiler maintenance and their prior probabilities and Bayes factors obtained from historical
Old MathJax webview

Table 1 shows a rule base with four rules about boiler maintenance and their prior probabilities and Bayes factors obtained from historical data. No probability value is provided for R4 because it is a production rule, and P(H2) = P(13) because H2 = H3 (valve is stuck). Table 1. A rule base for boiler maintenance (CR - FCFS) Rule E H P(H) LS 1 temp is high 20 0.1 0.2 AND level is high pressure is high 2 0.5 2 pressure is high valve is stuck 40 0.1 0.05 warning is on valve is stuck 0.4 valve is stuck valve needs cleaning (Production rule) LN 8 3 4 Do we need to clean the valve, given that: level is definitely) low (i.e. not high); warning is (definitely) on; temp is (definitely) high? Make a decision based on the posterior probability. Table 1 shows a rule base with four rules about boiler maintenance and their prior probabilities and Bayes factors obtained from historical data. No probability value is provided for R4 because it is a production rule, and P(H2) = P(13) because H2 = H3 (valve is stuck). Table 1. A rule base for boiler maintenance (CR - FCFS) Rule E H P(H) LS 1 temp is high 20 0.1 0.2 AND level is high pressure is high 2 0.5 2 pressure is high valve is stuck 40 0.1 0.05 warning is on valve is stuck 0.4 valve is stuck valve needs cleaning (Production rule) LN 8 3 4 Do we need to clean the valve, given that: level is definitely) low (i.e. not high); warning is (definitely) on; temp is (definitely) high? Make a decision based on the posterior probability
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