Abstract
Granulation can be though of as a conceptual grid based on given knowledge, while approximation is the process of forming new knowledge through an available conceptual grid. In a wider sense, approximating is an operation required when a “scale” is used to determine something which does not fit exactly with the “precision” enabled by that scale. One can find instances of this dialectic between granulation and approximation in different fields spanning from data mining to story understanding, from pattern recognition to machine learning. We use the term “scale” in a general sense. Granulation is a sort of “conceptual scale”. Granules are groups of items (or points) of a given universe of discourse formed by means of knowledge which has been acquired or hypothesized and stored, that is, an established knowledge. From now on, we use the terms “granule” and “neighbourhood”, as well as “granulation” and “neighbourhood system”, interchangeably.
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Notes
- 1.
In formal topology, it is called a basic pair or a Chu space.
- 2.
- 3.
Sometimes this term denotes what we call a relational system.
- 4.
The combination of quantifiers suggests an investigation of the relationships between the formal properties of the above operators and those in the hexagon of opposition which are obtained by similar combinations (see [2]).
- 5.
If \(R(U)=U'\) then R is said to be right-total, or surjective, or that \(R^\smile \) is serial. \(R^\smile (U')=U\) means that R is left-total or serial.
- 6.
From now on the interested reader is addressed to [12] and its bibliography.
- 7.
- 8.
Notice that if \(U'\ne U\) and one substitutes \(\wp (U')\) for \(\wp (U)\) then a more general picture is obtained. However, the result of the more specific case can be translated into the more general case by means of a map from U to \(U'\).
- 9.
- 10.
- 11.
Cf. [12], where a more complete notion of a pre-topological formal system is defined, together with a classification of such systems.
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Pagliani, P. (2018). What’s in a Relation? Logical Structures of Modes of Granulation. In: Nguyen, H., Ha, QT., Li, T., Przybyła-Kasperek, M. (eds) Rough Sets. IJCRS 2018. Lecture Notes in Computer Science(), vol 11103. Springer, Cham. https://doi.org/10.1007/978-3-319-99368-3_4
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