Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A generalization of the symmetrical and optimal
  probability-to-possibility transformations   Possibility and probability theories are alternative and complementary ways
to deal with uncertainty, which has motivated over the last years an interest
for the study of ways to transform probability distributions into possibility
distributions and conversely. This paper studies the advantages and
shortcomings of two well-known discrete probability to possibility
transformations: the optimal transformation and the symmetrical transformation,
and presents a novel parametric family of probability to possibility
transformations which generalizes them and alleviate their shortcomings,
showing a big potential for practical application. The paper also introduces a
novel fuzzy measure of specificity for probability distributions based on the
concept of fuzzy subsethood and presents a empirical validation of the
generalized transformation usefulness applying it to the text authorship
attribution problem.

10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
29
The categories of this paper are: funct-an