Building a fuzzy system for ranking telecommunication access network projects

Author

Liu, James N K ; Lee, Raymond S T ; Chan, Alan B H

Author_Institution

Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong

Volume

2

fYear

2000

fDate

2000

Firstpage

598

Abstract

The selection of projects for implementation in the competitive telecommunications market is difficult after deregulation. Most projects are governed by the complexity of a firm´s policy structure and the inexactness of the database behind them. This research studies project ranking with a fuzzy expert system in order to help practising managers to prioritize projects for deploying telecommunication nodes to target buildings in an efficient and effective manner. A criterion function is constructed by which the relative merits of the projects in achieving a set of objectives are evaluated for assessment. Fuzzy theory with linguistic characterization of the projects´ entries and a compositional interference set are employed for the assessment of the value, cost and risk associated with project compatibility. The problem domain is confined to access-network project ranking issues of the competitive fixed telecommunication network services industry in Hong Kong, where the monopoly industry was deregulated in the second half of 1995. A prototype of a fuzzy rule-based inference system called TANPR (Telecommunication Access Network Project Ranking) is developed to evaluate the importance of a pool of compatible projects meeting the objective specifications

Keywords

expert systems; fuzzy logic; project management; subscriber loops; telecommunication computing; telecommunication network management; telecommunication network planning; Hong Kong telecommunication industry; TANPR; competitive telecommunications market; compositional interference set; cost assessment; criterion function; deregulation; fixed telecommunication network services; fuzzy expert system; fuzzy rule-based inference system; inexact database; linguistic characterization; objective specifications; policy structure; project compatibility; project prioritization; project selection; relative project merit evaluation; risk assessment; target buildings; telecommunication access network project ranking; telecommunication node deployment; value assessment; Buildings; Communication industry; Costs; Databases; Fuzzy set theory; Fuzzy systems; Hybrid intelligent systems; Interference; Monopoly; Project management;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on

Conference_Location

Brighton

Print_ISBN

0-7803-6400-7

Type

conf

DOI

10.1109/KES.2000.884119

Filename

884119