$($a$)$ Define the following types of learning $($i$)$ Supervised $($ii$)$ Unsupervised $($iii$)$ Reinforcement and give an example of each learning technique. $(6$ marks$)$

$($b$)$ Draw a simple dataset that defines both $($i$)$ and $($ii$)$ in $($a$)$ above. $(4$ marks$)$

$($c$)$ With a supervised learning algorithm, we can specify target output values, but we may never get close to those targets at the end of learning. Give reasons why this might happen. $(5$ marks$)$

$($a$)$ Consider three fuzzy set $A$