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6 - Rough set theory

Published online by Cambridge University Press:  05 July 2012

M. E. Müller
Affiliation:
Hochschule Bonn-Rhein-Sieg
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Summary

All of the algorithms we have come across so far make several (severe) assumptions on the domain. Together with the knowledge we feed into our learning systems, the representation itself and the implementation of algorithms may result in heavy biases. But what if we just look at the objects we are given and their relational properties? Why should we try to discriminate indistinguishable objects instead of interpreting indiscernability as “being-of-the-same-breed” – whatever our current knowledge of different existing breeds is?

At the beginning of the last chapter we discovered that features induce equivalence relations and that equivalence relations create blocks of indiscernible objects, that is, “small groups of similar, equal, or equivalent things”. Any two objects in an equivalence class cannot be distinguished from each other, but two objects from different classes can be well discriminated. For our information systems that usually provide a large number of features, we also have many equivalence relations. Furthermore, any intersection of any subset of such equivalence relations also forms a new equivalence relation. And because equivalence relations are relations, and because relations are sets, it appears to be an interesting idea to consider the intersection of equivalence relations as a much finer and more detailed partitioning of our base set.

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Publisher: Cambridge University Press
Print publication year: 2012

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  • Rough set theory
  • M. E. Müller
  • Book: Relational Knowledge Discovery
  • Online publication: 05 July 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139047869.007
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  • Rough set theory
  • M. E. Müller
  • Book: Relational Knowledge Discovery
  • Online publication: 05 July 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139047869.007
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Rough set theory
  • M. E. Müller
  • Book: Relational Knowledge Discovery
  • Online publication: 05 July 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139047869.007
Available formats
×