Secure Matchmaking of Fuzzy Criteria between Agents

A subjective evaluation of services and agents play a fundamental role in open systems. The vague nature of the personal criteria used in subjective evaluations justify the use of fuzzy sets. This distributed approach requires cooperation (information sharing) between agents with similar criteria to improve decision making process. So similarity between criteria is used to decide whether cooperate with a given agent or not. But since personal criteria of evaluation reflect users’ profile, this information should be protected, and not be disclosed to any agent. This paper presents an analytic study about the viability of applying distributed secure computations over the matching of fuzzy sets representing such personal criteria.