Fuzzy logic as-a-service for Ambient Intelligence Environments

Pourabdollah, A. ORCID: 0000-0001-7737-1393, Wagner, C., Acampora, G. ORCID: 0000-0003-4082-5616 and Lotfi, A. ORCID: 0000-0002-5139-6565, 2018. Fuzzy logic as-a-service for Ambient Intelligence Environments. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio De Janeiro, Brazil, 8-13 July 2018.

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Abstract

Fuzzy Logic Systems (FLSs) are normally associated with dedicated hardware/software systems. However, the distributed and pervasive architecture of many modern hardware/software systems is driving increasing interest in pervasive, distributed FLSs. Achieving this vision will require the design of FLS implementations which support client-server models and more specifically, cloud-computing and service-oriented solutions. Here, FLSs become a globally accessible service that enables openness, device independence, load balancing, resource sharing and ultimately cost effectiveness. In this paper, the recently standardised fuzzy mark-up language (IEEE-1855) and proposed extensions are used for designing Web Services for FLS computations. The novelty of this approach is in integrating different FLS components (input collection, processing and output) into a single web service platform which uses a well specified language for communication over the Web via HTTP request/responses. The utility of this approach is shown in the context of implementing FLSs in Ambient Intelligent Environments.

Item Type: Conference contribution
Creators: Pourabdollah, A., Wagner, C., Acampora, G. and Lotfi, A.
Date: July 2018
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 27 Jun 2018 08:51
Last Modified: 27 Jun 2018 09:08
URI: http://irep.ntu.ac.uk/id/eprint/33924

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