Automated Multiagent Preference Aggregation Using Fuzzy Quantifiers

Ronald R. Yager

An issue that is of considerable interest in distributed systems is the selection of a solution acceptable to a collection agents when each agent has their own preferences among a set of alternative possible solutions. Recently Rosenchein and Zlotkin have presented a comprehensive work discussing this issue. The process of finding such a solution can be seen as a kind of negotiation amongst these agents. This class of problems have a long history in the economic literature. In the fuzzy set literature one finds a considerable body of literature devoted to the closely related problem of multi-criteria aggregation starting with the classic work of Bellman and Zadeh. The goal of the work presented here is to provide mechanisms to enable automated negotiations, aggregation of preference functions, between multiple agents in he spirit of the framework initiated by Bellman and Zadeh.


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