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Revisiting Postulates for Inconsistency Measures

Logics in Artificial Intelligence, 2014, Vol.8761, p.383-396 [Peer Reviewed Journal]

Springer International Publishing Switzerland 2014 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0302-9743 ;ISBN: 331911557X ;ISBN: 9783319115573 ;EISSN: 1611-3349 ;EISBN: 3319115588 ;EISBN: 9783319115580 ;DOI: 10.1007/978-3-319-11558-0_27

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  • Title:
    Revisiting Postulates for Inconsistency Measures
  • Author: Besnard, Philippe
  • Subjects: Belief Base ; Classical Logic ; Computer Science ; Consistent Subset ; Knowledge Base ; Logic in Computer Science ; Logical Content ; Machine Learning
  • Is Part Of: Logics in Artificial Intelligence, 2014, Vol.8761, p.383-396
  • Description: Postulates for inconsistency measures are examined, the set of postulates due to Hunter and Konieczny being the starting point. Objections are raised against a few individual postulates. More general shortcomings are discussed and a new series of postulates is introduced.
  • Publisher: Cham: Springer International Publishing
  • Language: English
  • Identifier: ISSN: 0302-9743
    ISBN: 331911557X
    ISBN: 9783319115573
    EISSN: 1611-3349
    EISBN: 3319115588
    EISBN: 9783319115580
    DOI: 10.1007/978-3-319-11558-0_27
  • Source: Hyper Article en Ligne (HAL) (Open Access)
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