Developing a cloud-based service-oriented architecture for fuzzy logic systems

被引：3

作者：

Pandya, Bhavesh ^{[1
]}

Pourabdollah, Amir ^{[1
]}

Lotfi, Ahmad ^{[1
]}

Acampora, Giovanni ^{[2
,3
]}

机构：

[1] Nottingham Trent Univ, Sch Sci & Technol, Nottingham, England

[2] Univ Naples Federico II, Dept Phys Ettore Pancini, Naples, Italy

[3] Ist Nazl Fis Nucl, Sez Napoli, I-80126 Naples, Italy

来源：

IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE) | 2021年

关键词：

Fuzzy logic; Fuzzy Markup Language; Cloud Computing; MARKUP LANGUAGE;

D O I：

10.1109/FUZZ45933.2021.9494530

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy logic systems are customarily related to specific hardware or software systems. Nevertheless, it has been observed that distributed and cloud-based architectures of various intelligent systems are pouring intensifying attention. While the distributed architectures can potentially add values in developing fuzzy systems, a lack of standard methods and practices may limit their public use. This study aims to provide a standard solution for developing cloud-based service-oriented architectures for fuzzy logic systems, based on extending IEEE-1855 (2016) in the defining system and exchanging data. Experiments were performed employing simulation concerning collection, processing and monitoring of data in a distributed manner over the web. A real-time human activity recognition simulated scenario is also demonstrated through a cloud-based fuzzy system.

引用

页数：8

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