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A Gentle Introduction and Survey on Computing with Words (CWW) Methodologies

K. Gupta, Prashant and Andreu-Perez, Javier (2022) 'A Gentle Introduction and Survey on Computing with Words (CWW) Methodologies.' Neurocomputing, 500. pp. 921-937. ISSN 0925-2312

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Abstract

Human beings have an inherent capability to use linguistic information (LI) seamlessly even though it is vague and imprecise. Computing with Words (CWW) was proposed to impart computing systems with this capability of human beings. The interest in the field of CWW is evident from a number of publications on various CWW methodologies. These methodologies use different ways to model the semantics of the LI. However, to the best of our knowledge, the literature on these methodologies is mostly scattered and does not give an interested researcher a comprehensive but gentle guide about the notion and utility of these methodologies. Hence, to introduce the foundations and state-of-the-art CWW methodologies, we provide a concise but a wide-ranging coverage of them in a simple and easy to understand manner. We feel that the simplicity with which we give a high-quality review and introduction to the CWW methodologies is very useful for investigators or especially those embarking on the use of CWW for the first time. We also provide future research directions to build upon for the interested and motivated researchers.

Item Type: Article
Uncontrolled Keywords: Augmented Extension Principle based CWW methodology; Extension Principle based CWW methodology; General Type-2 Fuzzy Sets based CWW methodology; Intuitionistic Fuzzy Sets based CWW methodology; Linear General Type-2 Fuzzy Sets based CWW methodology; Perceptual Computing; Rough Sets based CWW methodology; Symbolic Method based CWW methodology; 2-tuple based CWW methodology
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: 20 Jun 2022 21:06
Last Modified: 20 Jun 2022 21:10
URI: http://repository.essex.ac.uk/id/eprint/32924

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