| Name : R-RoughSetKnowledgeReduction
| |
| Version : 0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:04:03
|
| Group : Development/Libraries/Other
| Source RPM : R-RoughSetKnowledgeReduction-0.1-lp153.2.13.src.rpm
|
| Size : 0.58 MB
| |
| Packager : (none)
| |
| Summary : Simplification of Decision Tables using Rough Sets
|
Description :
Rough Sets were introduced by Zdzislaw Pawlak on his book \"Rough Sets:
Theoretical Aspects of Reasoning About Data\". Rough Sets provide a
formal method to approximate crisp sets when the set-element belonging
relationship is either known or undetermined. This enables the use of
Rough Sets for reasoning about incomplete or contradictory knowledge. A
decision table is a prescription of the decisions to make given some
conditions. Such decision tables can be reduced without losing
prescription ability. This package provides the classes and methods for
knowledge reduction from decision tables as presented in the chapter 7
of the aforementioned book. This package provides functions for
calculating the both the discernibility matrix and the essential parts
of decision tables.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
