Ebrahim Moradi Shahrivar - School of Electrical and Computer Engineering, University of Tehran,
Behzad Moshiri - IEEE Senior Member, Control & Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran
Mehdi Rezagholizadeh - School of Electrical and Computer Engineering, University of Tehran

Successful organization needs effective decision making as one of its essential step. Nowadays, companies are growing in size and scope. These developments need control and managing at higher levels. With cooperative decision making, we can dissect the complexity into manageable pieces for eachorganizational decision maker which we call synonymously agent or expert. These agents collaborate and aggregate witheach other, in order to achieve the most efficient decision. This paper presents a multi-agent framework for distributed fuzzy decision making. Interdependency and relation between these experts have been modeled with a directed/undirected graph. Each expert solves the problem of decision making with its own point of view and criteria. The question that arise here, is that under what conditions these agents reach to an agreement? This problem has also been addressed by the authors. A numerical example demonstrates the functionality and capability of the new method.

Multi-criteria decision making, Fuzzy systems, Cooperative decision making, Consensus