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Fuzzy system design for security and environment control applications


Heyman, A and Reznik, L and Negnevitsky, M and Hoffman, A, Fuzzy system design for security and environment control applications, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 23, (Supplement 1) pp. 43-56. ISSN 0218-4885 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 World Scientific Publishing Company

DOI: doi:10.1142/S0218488515400048


As the amount of data available to researchers continues to grow, sharp class distinctions generated through Boolean logic fundamentally limit researchers’ abilities to adequately process data into useable information. The application of fuzzy systems to real world problems allows us to synthesize this raw data into meaningful results. This paper demonstrates how fuzzy theory can be applied to real life application’s design where rules can be generated explicitly through an expert system, or implicitly derived through a hybrid neural-fuzzy system. The paper illustrates the success of the fuzzy system use in applications by providing examples in the context of mobile device security evaluation and air quality evaluation and prediction. The examples represent important application areas within engineering and information technology domains.

Item Details

Item Type:Refereed Article
Keywords:fuzzy system design, mobile security, environmental analysis
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:105800
Year Published:2015
Deposited By:Engineering
Deposited On:2016-01-14
Last Modified:2017-11-06

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