A Novel Framework for Dealing with Uncertainty Problems: A Soft Set Based Approach

When any kind of uncertainty exists in the data collected, such data is known as uncertain data. There are many real world applications such as sensor networks which produce uncertain data. Data mining methods have been around for discovering know how from uncertain data. However, soft sets are special kind of information systems that are meant for dealing with uncertain data. In our previous paper we introduced many soft set based techniques for mining uncertain data. In this paper we proposed framework that deals with uncertainty problems and extracts business intelligence which helps in making well informed decisions. The framework is based on soft sets and can be used in decision support systems of real world. We proposed an algorithm which is part of the underlying framework. Our analytical study reveals that the proposed framework is useful to solve real world uncertainty problems.

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