Title :
Dealing with imperfect information in telecommunication operator knowledge management information systems
Author_Institution :
HT-Hrvatski Telekom d.d., Hungary
Abstract :
Modern information systems often contain functionalities such as outcome prediction for certain events and actions or autonomous decision making on the course of future actions with no human interaction. A cornerstone of such systems is knowledge, stored inside of them and evolving from information acquired and organised in a certain manner. Telecommunication operator information systems, as well as many others, face imperfect information on daily basis. Those systems have difficulties to profit from such information, and are unable to properly classify and organise it. Granular approach to organizing information is one of the approaches that can efficiently address the challenge of dealing with imperfect information.
Keywords :
fuzzy set theory; information systems; knowledge management; rough set theory; telecommunication computing; fuzzy sets; granular approach; imperfect information; rough sets; telecommunication operator knowledge management information systems; Approximation methods; Broadband communication; Customer services; Fuzzy sets; Information systems; Internet; fuzzy sets; granular structures; granules; imperfect information; knowledge; rough sets;
Conference_Titel :
Telecommunications (ConTEL), 2013 12th International Conference on
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-5984-9