Decisions, having the possibility to have important consequences on people's lives, are made every day. For this reason, there exists a great need for making good decisions in today's world. Because consistency has been assumed to be a rationality measure, inconsistent judgments are considered to lead to bad decisions. This study aims to introduce a new granular-based approach to deal with consistency, concretely multiplicative consistency, of reciprocal preference relations in decision-making. Firstly, we present a process of an optimal distribution of information granularity maximizing the consistency of the reciprocal preference relation. Secondly, based on it, we develop an interactive procedure for multiplicative consistency improvement with the implication of the decision maker. Several numerical examples are conducted to validate the effectiveness of this granular-based approach
