Real-world utility of non-singleton fuzzy logic systems: a case of environmental management

Pourabdollah, A ORCID: https://orcid.org/0000-0001-7737-1393, Wagner, C, Smith, M and Wallace, K, 2015. Real-world utility of non-singleton fuzzy logic systems: a case of environmental management. In: Yazici, A, Pal, NR, Kaymak, U, Martin, T, Ishibuchi, H, Lin, C-T, Sousa, JMC and Tütmez, B, eds., 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Istanbul, Turkey, 2-5 August 2015. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 1496-1503. ISBN 9781467374286

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Abstract

The potentials of non-singleton fuzzy logic systems (NSFLSs) in dealing with uncertainties are widely known. However, their utilities and possible challenges in real-world applications, particularly beyond fuzzy controls, are still not widely examined. This paper presents some user-centric design approaches in making NSFLSs usable in a real-world problem of environmental management. In previous work, a singleton FLS was developed based on an established environmental management framework. After further investigation of the users’ requirements, it was realized that the effective capture, representation and visualization of the system’s inputs and outputs are critical, particularly when there are uncertainties involved in data collection and decision-making processes. For addressing the new requirements, the system has been extended to a NSFLS, so it can make use of non-singleton fuzzification in handling uncertain (e.g., noisy) environmental data. Inspired by the user-centric design of this particular system extension, the contribution of this paper is the development of some practical methods to capture/represent input/output uncertainties in NSFLSs. Subject to further users evaluation, the explained methods have potential to be employed in many similar real-world applications, thus extending the NSFLSs applicability to a wider context than the present.

Item Type:	Chapter in book
Creators:	Pourabdollah, A., Wagner, C., Smith, M. and Wallace, K.
Publisher:	Institute of Electrical and Electronics Engineers
Place of Publication:	Piscataway, NJ
Date:	2015
ISBN:	9781467374286
Identifiers:	Number Type 10.1109/FUZZ-IEEE.2015.7338007 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	05 Apr 2018 15:25
Last Modified:	05 Apr 2018 15:59
URI:	https://irep.ntu.ac.uk/id/eprint/33205

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