Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Similarity measure for aggregated fuzzy numbers from interval-valued
  data   This paper presents a method to compute the degree of similarity between two
aggregated fuzzy numbers from intervals using the Interval Agreement Approach
(IAA). The similarity measure proposed within this study contains several
features and attributes, of which are novel to aggregated fuzzy numbers. The
attributes completely redefined or modified within this study include area,
perimeter, centroids, quartiles and the agreement ratio. The recommended
weighting for each feature has been learned using Principal Component Analysis
(PCA). Furthermore, an illustrative example is provided to detail the
application and potential future use of the similarity measure.

29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat