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Graded Concepts for Collaborative Intelligence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages2589-2594
Number of pages6
ISBN (Electronic)9781538666500
DOIs
DateAccepted/In press - 20 Jul 2018
DatePublished (current) - 16 Jan 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 7 Oct 201810 Oct 2018

Publication series

NameIEEE International Conference on Systems, Man, and Cybernetics (SMC)
PublisherIEEE
ISSN (Print)1062-922X

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
CountryJapan
CityMiyazaki
Period7/10/1810/10/18

Abstract

Collaborative intelligence involves a combination of human and machine-based analysis, in which humans focus on higher-level tasks involving insight and understanding, whilst machines deal with gathering, filtering and processing data into a convenient and understandable form. We have proposed the use of graded concept lattices as a representation for exchanging information between machine and human in a collaborative intelligent system. Graded concepts allow summarization at multiple levels of discernibility (granularity). In this paper, we outline a new interpretation of fuzzy concept lattices as graded sets of crisp lattices. In addition, we prove equivalence between graded (fuzzy) formal concept analysis and the standard crisp framework. Consequently, any software tools developed for crisp data can be extended to the graded case without change.

Additional information

Export Date: 5 July 2019

Event

2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Duration7 Oct 201810 Oct 2018
CityMiyazaki
CountryJapan

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via OSA at https://doi.org/10.1364/OL.44.000275 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 962 KB, PDF document

    Licence: Other

DOI

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