Heterogeneous Fuzzy Group Decision‐Making Model With Mixed Criteria

Organizational decisions, often originating from diverse groups of managers with varying criteria, encounter challenges due to the inherent ambiguity in human judgments, particularly those involving preferences. This paper proposes a nuanced solution using a heterogeneous fuzzy group decision‐making method, accommodating diverse criteria based on real numbers, interval numbers, triangular fuzzy numbers, trapezoidal fuzzy numbers, and intuitive fuzzy numbers. Two numerical examples validate the method’s effectiveness, demonstrating noteworthy consistency. Utilizing Spearman’s rank correlation coefficient as a metric underscores its robust agreement with established methods. The subsequent analysis underscores the method’s adeptness in handling decision‐making complexities within diverse groups, thereby contributing significantly to the understanding and management of organizational relationships in today’s context.