Analyzing Complexities in Decision-Making using Rough Intuitionistic Fuzzy Diagraphs

Abstract

This research article introduces a hybrid approach which integrates a rough set with an intuitionistic fuzzy set. A rough intuitionistic fuzzy architecture is formed to study the vagueness, incompleteness, and ambiguity based information systems in some real life problems by using this hybridization. This study basically extends the existing rough fuzzy hybrid approach by generalizing some of its definitions and theorems. Finally, application of the proposed hybrid mechanism to decision-making problems underscores the potential of our method. Present article provides an efficient and effective tool for dealing complexities in decision-making. In particular, an efficient algorithm is developed to solve decision-making problem. Time complexity of proposed algorithm is also computed.