Title :
A study on the specification of knowledge granularity in knowledge management
Author_Institution :
Sch. of Safety & Environ. Eng., Capital Univ. of Econ. & Bus., Beijing, China
Abstract :
The granularity is used to describe decision knowledge based on the concept of rough degree in rough theory. The rule distance are put forward, and a feasible distance formula between different rules is constructed according to the requirement of describing the distance between different rules and the definition of attribute signification in information system. Both of the n-dimensional knowledge granularity decision space and the same construction mapping decision space based on multi-decision sorts are established, and the decision algorithm is further presented. As a result, the instance is introduced to explain the efficiency of new method.
Keywords :
knowledge management; information system; knowledge granularity decision space; knowledge management; mapping decision; rough theory; Algorithm design and analysis; Cognition; Construction industry; Knowledge based systems; Knowledge management; Planning; Set theory; knowledge granularity; knowledge management; rule dependent relation; rule distance;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569512