the concept of fuzzy linguistic variables. The system accepts Boolean queries whose terms
weighted simultaneously by means of ordinal linguistic values according to three possible
semantics: a symmetrical threshold semantic, a quantitative semantic, and an importance
semantic.Besides, a bottom-up evaluation mechanism of queries is presented in his papers.
In this paper ,we present a fuzzy information retrieval model based on two quantifiers:
Ordered Weighted Averaging Operator proposed by Yager[
16–19] and Geometric-Mean
Averaging Operator proposed by Shi-Jay Chen and Shyi-Ming Chen.In this model,the key
terms in the query is number weighted to represent a relative importance to other key terms
in the query. When matching the documents and the query,we use the two operators and
Herrera’s bottom-up matching concept used for semantic retrieval[12, 14, 15].
The rest of this paper is organized as follows.In Section 2,we briefly review two
aggregation operators would be used in the model:OWA and Geometric-Mean Averaging
Operator.In section 3,we build an information retrieval model based on the two operators.
Section 4 is an example experiment .The conclusions are discussed in section 5.
2. Preliminary
In this section,two operators:Geometric-Mean Averaging Operator and Ordered
Weighted Averaging Aggregation operator which will be both used in our information
retrieval model are described in details.
2.1 Geometric-Mean Averaging Operator
The Geometric-Mean Averaging Operator is proposed by Shi-Jay Chen and Shyi-Ming
Chen[
11]based on the Geometric Mean.The Geometric Mean of positive numbers
a
1
, a
2
, . . . , a
n
is defined as
n
v
u
u
t
n
Y
i=1
(a
i
) (1)
4
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