International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 206 - 218

IBA-based framework for modeling similarity

Authors
Pavle Milošević1, pavle.milosevic@fon.bg.ac.rs, Ana Poledica1, ana.poledica@fon.bg.ac.rs, Aleksandar Rakićević1, aleksandar.rakicevic@fon.bg.ac.rs, Vladimir Dobrić1, vdobric@fon.bg.ac.rs, Bratislav Petrović1, bratislav.petrovic@fon.bg.ac.rs, Dragan Radojević2, dragan.radojevic@automatika.imp.bg.ac.rs
1Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia
2Mihajlo Pupin Institute, Volgina 15, 11000 Belgrade, Serbia
Received 16 May 2017, Accepted 18 October 2017, Available Online 1 January 2018.
DOI
10.2991/ijcis.11.1.16How to use a DOI?
Keywords
Multi-attribute object comparison; IBA similarity measure; Logical aggregation; Modeling similarity; Similarity-based classification
Abstract

In this paper, we introduce a logic-driven framework for modeling similarity based on interpolative Boolean algebra (IBA). It consists of two main steps: data preprocessing and similarity measuring by means of IBA similarity measure and logical aggregation. The purpose of these steps is to detect dependencies and model interactions among attributes and/or similarities using an appropriate operator. The proposed framework is general, providing different approaches to multi-attribute object comparison: attribute-by-attribute comparison, object-level comparison and their combination. It is also a generic framework since various similarity measures can be easily derived. The proposed IBA-based similarity framework has a solid mathematical background, which ensures all necessary properties of similarity measure are satisfied. It is interpretable and close to human perception. The framework’s applicability is illustrated by two numerical examples that confirm the need for a different level of aggregations. Furthermore, the example of similarity-based classification demonstrates the descriptive power and transparency of the framework on real financial data.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
206 - 218
Publication Date
2018/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.16How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Pavle Milošević
AU  - Ana Poledica
AU  - Aleksandar Rakićević
AU  - Vladimir Dobrić
AU  - Bratislav Petrović
AU  - Dragan Radojević
PY  - 2018
DA  - 2018/01/01
TI  - IBA-based framework for modeling similarity
JO  - International Journal of Computational Intelligence Systems
SP  - 206
EP  - 218
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.16
DO  - 10.2991/ijcis.11.1.16
ID  - Milošević2018
ER  -