Study on Fuzzy Semantic Controlling for Machinery and Equipment Manufacturing

Heng Sun; Shu Bin Cai; Richard Happson Joseph Massawe; Ling Chen

doi:10.4028/www.scientific.net/AMR.711.495

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 711Study on Fuzzy Semantic Controlling for Machinery...

Study on Fuzzy Semantic Controlling for Machinery and Equipment Manufacturing

Abstract:

Machinery and equipment descriptions play an important role in the design and manufacturing of industrial machinery devices and help reducing the design time and manufacturing costs of machinery devices. However, one of the main obstacles to realize efficient device design and manufacturing is the lack of effective semantic description method because of the surprisingly increasing volume and semantically fuzzy natures of the industrial device descriptions. To overcome this problem, this paper presents a novel fuzzy ontology-based device description method and implements the intelligent device retrieval and representation system based on the fuzzy ontology. The fuzzy inference and semantic fusion mechanisms of this approach are demonstrated.

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Periodical:

Advanced Materials Research (Volume 711)

Pages:

495-499

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.711.495

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Online since:

June 2013

Authors:

Heng Sun, Shu Bin Cai, Richard Happson Joseph Massawe, Ling Chen

Keywords:

Device Description, Equipment Manufacturing, Fuzzy Ontology, Machinery

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