Title :
A genetic algorithm for total assessment of telecommunication sectors
Author :
Barzmpour, F. ; Izadbakhsh, H.R. ; Azadeh, A. ; Saben, M.
Author_Institution :
Dept. of Ind. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
This paper presents a genetic algorithm (GA) to assessment the decision making units (DMU). The Telecommunication sectors based on standards indicators identified by international telecommunication union (ITU) are considered for total assessment by the proposed approach. The indicators are categorized as telephone network size, other services, quality of service, traffic, tariffs, staff, demography, economy, information technology, broadcasting and mobile services. To present the applicability of the proposed approach, data for the year 2003 of 62 developed and developing countries are used. A total of 9 indicators are considered, out of which 4 are inputs and 5 are outputs respectively. The results of GA are verified by Principle Component Analysis (PCA) approach. The results show weak and strong points of each sector and identify the most efficient inputs or outputs, which can aid management in overall assessment. The proposed approach of this study may e easily used for assessment of other sectors.
Keywords :
decision making; genetic algorithms; principal component analysis; telecommunication industry; decision making units; genetic algorithm; international telecommunication union; principle component analysis; telecommunication sector total assessment; Broadcast technology; Broadcasting; Decision making; Demography; Genetic algorithms; Information technology; Quality of service; Telecommunication standards; Telecommunication traffic; Telephony; Genetic algorithm; Principle Component Analysis; Ranking; Telecommunication;
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
DOI :
10.1109/DEST.2009.5276748