Integration of fuzzy techniques in a CAD/CAM system

Francois, Florence; Bigeon, Jean

doi:10.1109/20.376434

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…The system had the capability to optimize the performance of permanent magnet generators by reducing the weight, minimizing total losses, and lowering total harmonic distortions. Francois et al [25] introduced a fuzzy expert system for designing electrical appearances. The proposed system permits imprecision and uncertainty to be included in the rules intended for the preliminary design stages.…”

Section: Application Of Soft Computing Approaches In the Design Of Electromagnetic Devicesmentioning

confidence: 99%

An Intelligent Decision Support System for Design of Brushless Direct Current Motors

Akbarzadeh¹

2021

Preprint

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Section: Application Of Soft Computing Approaches In the Design Of Electromagnetic Devicesmentioning

confidence: 99%

An Intelligent Decision Support System for Design of Brushless Direct Current Motors

Akbarzadeh¹

2021

Preprint

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“…The method in dealing with imprecision and uncertainty in the preliminary engineering design and calculation was proposed in [11,61,62,87]. A fuzzy expert system was developed in a CAD/CAM system for the preliminary design in [27]. The need for fuzzy logic in the development of CAD systems was identified in [64].…”

Section: Introductionmentioning

confidence: 99%

Extending engineering data model for web-based fuzzy information modeling

2013

ICA

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Being an information modeling language to support the STEP (Standard for Exchange of Product Model Data), EXPRESS has been developed to share and exchange product design, manufacturing and production data in product life cycle. Also being the de-facto standard of data representation and exchange over the Web, XML (eXtensible Markup Language) has been widely applied in Web-based engineering applications for product data exchange and share. It is essential to integrate EXPRESS data model and XML data model in engineering data modeling. EXPRESS-G is the graphical representation of EX-PRESS and can serve as the conceptual design of Web-based engineering data models. Fuzzy engineering information is inherent in many engineering activities. In order to explicitly represent and handle fuzzy engineering information, this paper introduces an extended EXPRESS-G data model for different kinds of fuzziness modeling. After presenting the formal descriptions and corresponding representations of the fuzzy EXPRESS-G data model, the paper investigates the formal transformation from the fuzzy EXPRESS-G data model to the fuzzy XML model. The formal transformation approaches proposed in the paper are demonstrated with engineering application examples.

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Information Imprecision and Uncertainty in Engineering

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

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Integration of fuzzy techniques in a CAD/CAM system

Cited by 8 publications

References 2 publications

An Intelligent Decision Support System for Design of Brushless Direct Current Motors

An Intelligent Decision Support System for Design of Brushless Direct Current Motors

Extending engineering data model for web-based fuzzy information modeling

Information Imprecision and Uncertainty in Engineering

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