loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shakhnaz Akhmedova ; Eugene Semenkin and Vladimir Stanovov

Affiliation: Siberian State Aerospace University, Russian Federation

Keyword(s): Fuzzy Rule-based Classifiers, Bionic Algorithms, Optimization, Opinion Mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computation and Control ; Fuzzy Control ; Fuzzy Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Soft Computing

Abstract: Automatically generated fuzzy rule-based classifiers for opinion mining are presented in this paper. A collective nature-inspired self-tuning meta-heuristic for solving unconstrained real-valued optimization problems called Co-Operation of Biology Related Algorithms and its modification with a biogeography migration operator for binary-parameter optimization problems were used for the design of classifiers. The basic idea consists in the representation of a fuzzy classifier rule base as a binary string and the parameters of the membership functions of the fuzzy classifier as a string of real-valued variables. Three opinion mining problems from the DEFT’07 competition were solved using the proposed classifiers. Experiments showed that the fuzzy classifiers developed in this way outperform many alternative methods at the given problems. The workability and usefulness of the proposed algorithm are confirmed.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.196.184

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Akhmedova, S.; Semenkin, E. and Stanovov, V. (2016). Fuzzy Rule-based Classifier Design with Co-Operative Bionic Algorithm for Opinion Mining Problems. In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-198-4; ISSN 2184-2809, SciTePress, pages 68-74. DOI: 10.5220/0005974700680074

@conference{icinco16,
author={Shakhnaz Akhmedova. and Eugene Semenkin. and Vladimir Stanovov.},
title={Fuzzy Rule-based Classifier Design with Co-Operative Bionic Algorithm for Opinion Mining Problems},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2016},
pages={68-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005974700680074},
isbn={978-989-758-198-4},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Fuzzy Rule-based Classifier Design with Co-Operative Bionic Algorithm for Opinion Mining Problems
SN - 978-989-758-198-4
IS - 2184-2809
AU - Akhmedova, S.
AU - Semenkin, E.
AU - Stanovov, V.
PY - 2016
SP - 68
EP - 74
DO - 10.5220/0005974700680074
PB - SciTePress