  Rough Set based concepts of Span and Spanning Sets were recently proposed to
deal with uncertainties in data. Here, this paper, presents novel concepts for
generic decision-making process using Rough Set based span for a decision
table. Majority of problems in Artificial Intelligence deal with decision
making. This paper provides real life applications of proposed Rough Set based
span for decision tables. Here, novel concept of span for a decision table is
proposed, illustrated with real life example of flood relief and rescue team
assignment. Its uses, applications and properties are explored. The key
contribution of paper is primarily to study decision making using Rough Set
based Span for a decision tables, as against an information system in prior
works. Here, the main contribution is that decision classes are automatically
learned by the technique of Rough Set based span, for a particular problem,
hence automating the decision-making process. These decision-making tools based
on span can guide an expert in taking decisions in tough and time-bound
situations.
