It is now adopted widely and becoming an alternative to the decision tree which typically suffers from exponential growth in number of branches with each variable modeled .
ID was first developed in the mid-1970s by decision analysts with an intuitive semantic that is easy to understand .
ID is now adopted widely and becoming an alternative to the decision tree which typically suffers from exponential growth in number of branches with each variable modeled .
ID was first developed in the mid-1970s by decision analysts with an intuitive semantic that is easy to understand .