Abstract
The set of all knowledge spaces on a given set of items or questions is investigated with respect to order theoretic and metrical properties. It is argued that a generalization of properties of the subspaces of a finite dimensional Euclidean vector space yields the material for defining a metric which satisfies certain requirements. The fact that the lattice of knowledge spaces is not modular is the reason for most of the difficulties. It turns out that a Hausdorff metric based on the Hamming distance satisfies the postulated conditions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
