An experimental comparison of various aggregation operators in a fuzzy information retrieval model

Abstract

In this paper, we present the results of an experimental comparison of various aggregation operators used in a fuzzy information retrieval model we have recently proposed. The essence of this model is the use of Zadeh's linguistic statements to represent the documents and queries and then to determine their degree of matching. This leads to the use of the minimum operator but in computational experiments it does not work well. Thus other operators are proposed to replace the minimum and the computational results are shown and discussed.