Multi-soft sets-based decision making using rank and fix valued attributes

Soft set theory is used as an effective mathematical tool for handling different operations with vague data including decision making. Decision making in soft sets is almost fully dependent on accuracy of input values. Obtaining incorrect values as input from various sources through different methods can badly effect the decision making and resulting in huge financial loss to organizations and individuals due to wrong decisions. Multi-soft set is one of those sources for providing input data for decision, but there is no existing proper technique for converting multi-soft set categorical values to numerical values. In this paper we present a technique for obtaining precise numerical data from multi-soft set. We categorize multi-soft set attributes to two types and present the method for representation of both types in a combined information system. We also present the concept of forward and reverse order in attribute values and discuss its effect on decision making.