Research Article
Automatic Rule Generation for Decision-Making in Context-Aware Systems Using Machine Learning
Table 2
A sample of generated rules from the weather dataset.
| | Rules | IF-THEN rules |
| | R1 | IF outlook = overcast THEN play = yes | | R2 | IF outlook = rainy AND windy = false THEN play = yes | | R3 | IF outlook = rainy AND windy = true THEN play = no | | R4 | IF outlook = sunny AND humidity = high THEN play = no | | R5 | IF outlook = sunny AND humidity = normal THEN play = yes | | R6 | IF humidity = normal AND windy = false THEN play = yes | | R7 | IF humidity = high AND outlook = rainy AND windy = false THEN play = yes | | R8 | IF humidity = high AND outlook = rainy AND windy = true THEN play = no | | R9 | IF humidity = normal AND windy = true AND temperature = hot THEN play = yes | | R10 | IF humidity = normal AND windy = true AND temperature = cool AND outlook = overcast THEN play = yes |
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