Rough decision support method

Traditional rough analysis method can produce a set of reduced decision rules from a decision table by attribute reduction and value reduction. These rules can provide decision support to some extent. However, the process of attribute reduction and value reduction is at the cost of many decision support abilities, so that the obtained rules remain just some part of the whole decision support abilities of the original decision table. In many cases, the set of reduced rules is often unable to offer decision support, which could be offered by the original decision table. A family of Rough analysis methods for decision support, called Rough Decision Support Method (RDSM), is proposed in this paper. RDSM can make the best use of the decision support abilities of decision table, and provide powerful decision support. RDSM is essentially an error tolerable method. RDSM and the traditional method can be combined into a hybrid decision support model, which can offer powerful decision support at high speed.