Fuzzy Based Multi-Agent System Offering Cost Effective Corporate Envi- ronment

We propose a general framework of a hierarchical structure, consisting of several levels of activities, for typical software related corporate hierarchy using multi-agent system. This work identifies the functionality of each level. Each and every level is considered as agent who is described further using fuzzy analysis. Our framework consists of six levels within which first five levels are considered as agents followed by the human interaction at the lowermost level. These agents interact with each other to produce a desired result for the client based on autonomous decisions which are decided through fuzzy reasoning with the help of predefined databases. A layered architecture has been proposed in this paper for showing a corporate office hierarchy in a cost effective manner. In general, management employees of the corporate system draw a huge amount of money for their activities. Our ultimate aim is to reduce the cost of the existing corporate system by observing and controlling the behavioral characteristics of each level of hierarchy by replacing typical manual operations with agents [1,2]. We have presented a case study or practical engineering example along with the description of each agent.