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Abstract
Starting from individual fuzzy preference relations, some (sets of) socially best acceptable options are determined, directly or via a social fuzzy preference relation. A fuzzy majority rule is assumed to be given by a fuzzy linguistic quantifier, e.g., “most, ” Zadeh's conventional approach to linguistic quantifiers, based on the cardinalities of fuzzy sets, yields a consensory-like pooling of individual opinions. Some solution concepts are considered: cores, minimax (opposition) sets, consensus winners, etc. In Part II the same problem will be discussed using a competitive-like pooling.
