An Application of Interval-Valued Intuitionistic Fuzzy Relation Predicting Scores in Game Theory

Abstract

Portend the scores of a match is inquisitive about match lovers and, owing to its complexity, becomes very interesting and meaningful as a research topic. In this paper, our work motive is to predict scores in a game from multi-observer data based on the knowledge of the min-max, max-product and max-average composition of intervalvalued intuitionistic fuzzy relations (IIFR). First, we accumulated an IIFR chart regarding an explicit emergency to obtain the required result and inspected it using the min-max, max-product and max-average composition of IIFR’s. Finally, we weigh up the three outcomes and discern that max product composition is more reliable among them.