Abstract
Elementary knowledge: relation between objects and attributes. When exploring an unknown domain of interest, the primarily observable data are in the form of a collection of relevant objects (minerals, animals, cities, documents, etc.), attributes that may apply to the objects (to be hard, to be warm-blooded, to be a capital city, to have many inhabitants, etc.), 1 and a relationship between objects and attributes specifying what objects have what attributes (some minerals are hard, some not; a city is either a capital or not; etc.). Most of empirical attributes are vague—a given attribute applies to a given object to a certain (truth) degree (mineral is hard to a certain degree).
A concept is a basic unit for representing knowledge. —John Sowa (Conceptual Structures, 1984)
Everything is a matter of degree. —Anonymous
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© 2002 Springer Science+Business Media New York
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Bělohlávek, R. (2002). Object-Attribute Fuzzy Relations and Fuzzy Concept Lattices. In: Fuzzy Relational Systems. International Federation for Systems Research International Series on Systems Science and Engineering, vol 20. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0633-1_5
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DOI: https://doi.org/10.1007/978-1-4615-0633-1_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5168-9
Online ISBN: 978-1-4615-0633-1
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