Tree-based-domain decision table

Decision tables are a concise visual representation for specifying which actions to perform depending on given conditions wikipedia.

outlook	temperature	precipitation	wind	outcome
any	unbearable	any	any	don't play
overcast	any	any	stormy	don't play
sunny	positive	any	calm	play
any	positive	showers	any	don't play
Default	play

The columns in such table represent decision domains. Cells represent a predicate about such domain. This should be a node in the domain representation tree:

outlooks	temperatures	precipitations	winds
ANY Clear Cloudy Overcast	ANY 0˚ Negative Fresh (>-10˚) -1˚ -2˚ ... freezing (-10˚‑ -20˚) unbearable (<20˚) Positive cold (<+10˚) comfortable (+10˚‑ +20˚) warm (+10˚‑ +20˚) hot (+20˚‑ +30˚) smelting (>+30˚)	ANY Rainy SHOWERS MODERATE HEAVY FLOOD LIGHT SNOWY LIGHT MODERATE STORM NONE	ANY Calmy Calm Light air Breeze Light Gentle Moderate Fresh Strong gale moderate fresh Strong Stormy whole gale Violent storm Hurricane force

So we can always test with some exact (leaf in the tree) conditions:

1. overcast, +17˚C, light showers, light breeze – results in "don't play" since the 4th line
2. sunny, +5˚C, heavy showers, calm – results in "play" despite line 4, since matches line 3