JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016

Soto-Hidalgo, J. M.; Alonso, José M.; Acampora, Giovanni; Alcalá‐Fdez, Jesús

doi:10.1109/access.2018.2872777

Cited by 50 publications

(19 citation statements)

References 29 publications

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“…After the introduction of the IEEE Standard for Fuzzy Markup Language for the definition of fuzzy sets and systems in a "human-readable and hardware independent way" [25], new software libraries adhering to the novel standard have been developed such as JFML [26] and VisualJFML [27].…”

Section: Related Workmentioning

confidence: 99%

Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java

D'Alterio

Garibaldi

John

et al. 2020

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Constrained interval type-2 (CIT2) fuzzy sets are a class of type-2 fuzzy sets that has been recently proposed as a way to extend type-1 membership functions to interval type-2 (IT2) while keeping a semantic connection between the IT2 fuzzy set and the concept it models. Recent work has shown how their mathematical properties can be used to design CIT2 fuzzy logic systems that are able to provide explanations for their outputs. Although the CIT2 representation can be a valuable alternative to the IT2 one, no software library for their implementation is available for the research community. The aim of this paper is to introduce a new Java library, Juzzy Constrained, that has been developed as an extension of the popular type-1 and type-2 Java toolkit Juzzy, adding support for CIT2 sets and systems. Throughout the paper, the main classes and the structure of the new library are described, together with a working example that illustrates how to build a CIT2 fuzzy system from scratch and how it can be used to produce explanations for the output.

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Section: Related Workmentioning

confidence: 99%

Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java

D'Alterio

Garibaldi

John

et al. 2020

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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“…In [25], an adaptive FLC based on Arduino DUE was presented to manage a DC motor with flexible shaft. In [13], Acampora et al proposed an extension of the IEEE Std 1855-2016 [26] to allow the definition of an FLC in a fully interoperable manner with Arduino architectures.…”

Section: Id:p0155mentioning

confidence: 99%

“…ID:p0110 In spite of JFML benefits, FLCs and FRBSs, in general, implemented by means of JFML library could be not suitable to be run on some hardware systems such as embedded systems. In detail, an embedded device is a strongly specialized piece of hardware meant for one or very few specific purposes and it is usually included (embedded) within another object or as a component of a larger system [13]. The main components of an embedded device are an actuator, a sensor, an embedded processor, and often a communication network.…”

Section: Introductionmentioning

confidence: 99%

Design of Fuzzy Controllers for Embedded Systems With JFML

Soto-Hidalgo¹,

Vitiello²,

Alonso³

et al. 2019

IJCIS

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Fuzzy Rule-Based Systems JFML Embedded systems IEEE Std 1855-2016 Open source software Open hardware ID:p0085 Fuzzy rule-based systems (FRBSs) have been successfully applied to a wide range of real-world problems. However, they suffer from some design issues related to the difficulty to implement them on different hardware platforms without additional efforts. To bridge this gap, recently, the IEEE Computational Intelligence Society has sponsored the publication of the standard IEEE Std 1855-2016 which is aimed at providing the fuzzy community with a well-defined approach to model FRBSs in a hardwareindependent way. In order to provide a runnable version of an FRBS that is designed in accordance with the IEEE Std 1855-2016, the open source library Java Fuzzy Markup Language (JFML) has been developed. However, due to hardware and/or software limitations of embedded systems, it is not always possible to run an IEEE Std 1855-2016 FRBS on this kind of systems. The aim of this paper is to overcome this drawback by developing a new JFML module that assists developers in the design and implementation of FRBSs for open hardware-embedded systems. In detail, the module supports several connection types (WiFi, Bluetooth, and USB) in order to make feasible running FRBSs in a remote computer when, due to hardware limitations, it is not possible that they run locally in the embedded systems. The new JFML module is ready for Arduino TM and Raspberry Pi, but it can be easily extended to other hardware architectures. Moreover, the new JFML module allows to automatically generate runnable files on Arduino TM or Raspberry Pi in order to support nonexpert users, that is, users without specific knowledge about embedded systems or without strong programming skills. The use of the new JFML module is illustrated in two case studies. A B S T R A C T

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“…The new standard defines a new W3C eXtensible Markup Language (XML) based language, named Fuzzy Markup Language (FML) [ 29 ] aimed at providing a unified and well-defined representation of interoperable FLS [ 30 ]. Additionally, in order to make the IEEE standard operative and useful for the fuzzy community, the library JFML [ 31 ] has been developed to offer a complete implementation of the new IEEE standard. Some hardware/sensor developments based on JFML have also been successfully done [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects

Martínez-Rojas

Gacto

Vitiello

et al. 2021

Sensors

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The Internet of Things (IoT) paradigm is establishing itself as a technology to improve data acquisition and information management in the construction field. It is consolidating as an emerging technology in all phases of the life cycle of projects and specifically in the execution phase of a construction project. One of the fundamental tasks in this phase is related to Health and Safety Management since the accident rate in this sector is very high compared to other phases or even sectors. For example, one of the most critical risks is falling objects due to the peculiarities of the construction process. Therefore, the integration of both technology and safety expert knowledge in this task is a key issue including ubiquitous computing, real-time decision capacity and expert knowledge management from risks with imprecise data. Starting from this vision, the goal of this paper is to introduce an IoT infrastructure integrated with JFML, an open-source library for Fuzzy Logic Systems according to the IEEE Std 1855-2016, to support imprecise experts’ decision making in facing the risk of falling objects. The system advises the worker of the risk level of accidents in real-time employing a smart wristband. The proposed IoT infrastructure has been tested in three different scenarios involving habitual working situations and characterized by different levels of falling objects risk. As assessed by an expert panel, the proposed system shows suitable results.

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JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016

Cited by 50 publications

References 29 publications

Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java

Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java

Design of Fuzzy Controllers for Embedded Systems With JFML

An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects

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