PARTNER ASSESSMENT USING MADM AND ONTOLOGY FOR TELECOM OPERATORS

Long Zhang, Xiaoyan Chen

Abstract

Nowadays, the revenue of telecom operators generated by traditional services declined dramatically while the value added services involving 3rd party value added service providers (partners) are becoming the most prominent source of revenue growth. To regulate the behaviours of the partners and make the operators be able to select best service for end users, a flexible partner assessment framework is required. This paper 1) presents a flexible partner assessment framework based on Multiple Attribute Decision Making (MADM) method for telecom operators to adapt to the changing requirements of value-added services; 2) proposes ontology to model the complicated relationship in the assessment factors to achieve high extensibility for the increasing decision knowledge. From our study, the method adopted and the system proposed can handle the partner assessment problem and support service selection reasonably in telecom industry.

References

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Paper Citation


in Harvard Style

Zhang L. and Chen X. (2006). PARTNER ASSESSMENT USING MADM AND ONTOLOGY FOR TELECOM OPERATORS . In Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-972-8865-69-6, pages 232-237. DOI: 10.5220/0001313802320237


in Bibtex Style

@conference{icsoft06,
author={Long Zhang and Xiaoyan Chen},
title={PARTNER ASSESSMENT USING MADM AND ONTOLOGY FOR TELECOM OPERATORS},
booktitle={Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2006},
pages={232-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001313802320237},
isbn={978-972-8865-69-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - PARTNER ASSESSMENT USING MADM AND ONTOLOGY FOR TELECOM OPERATORS
SN - 978-972-8865-69-6
AU - Zhang L.
AU - Chen X.
PY - 2006
SP - 232
EP - 237
DO - 10.5220/0001313802320237