Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Forgetting-based Approach to Merging Knowledge Bases   This paper presents a novel approach based on variable forgetting, which is a
useful tool in resolving contradictory by filtering some given variables, to
merging multiple knowledge bases. This paper first builds a relationship
between belief merging and variable forgetting by using dilation. Variable
forgetting is applied to capture belief merging operation. Finally, some new
merging operators are developed by modifying candidate variables to amend the
shortage of traditional merging operators. Different from model selection of
traditional merging operators, as an alternative approach, variable selection
in those new operators could provide intuitive information about an atom
variable among whole knowledge bases.

24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math