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Towards a linear general type-2 fuzzy logic based approach for computing with words

Bilgin, Aysenur and Hagras, Hani and Malibari, Areej and Alhaddad, Mohammed J and Alghazzawi, Daniyal (2013) 'Towards a linear general type-2 fuzzy logic based approach for computing with words.' Soft Computing, 17 (12). pp. 2203-2222. ISSN 1432-7643

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Within the last two decades, the paradigm of Computing With Words (CWW) has been gaining more attention. Mainly, CWW has an exciting vision which tries to tackle the problem of human intelligence by taking the human mind as a role model. The human intelligence has been investigated by various disciplines including psychology, philosophy, neuroscience, linguistics, computer science, and cognitive sciences. Notably, it is not a straightforward task to map the human's brain reasoning into computer processes. In this paper, we propose to facilitate such mapping by investigating a key element, which is to identify the step-by-step formation of perceptual judgments. Herein, we first introduce an approach that employs general type-2 fuzzy logic to dynamically model the human perceptions based on the human experience. This approach can be regarded as a step to enable the CWW vision. We have deployed the proposed approach in real-world settings and we will present two sets of real-world experiments which were conducted in the intelligent apartment (iSpace) in the University of Essex. The first set of experiments demonstrates the results of the proposed approach for the adaptive modeling of ambient luminance perception. In the second set of experiments, we show that our approach performs better in the rule base evaluation processing time and in output accuracy with comparison to an interval type-2 fuzzy logic system. © 2013 Springer-Verlag Berlin Heidelberg.

Item Type: Article
Uncontrolled Keywords: General type-2 fuzzy logic; Computing with words; Modeling perceptions; Human perceptual judgment
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 25 Mar 2014 16:38
Last Modified: 15 Jan 2022 00:28

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