A Study of Fuzzy Multi-Criteria Decision Making Model for ICT Resource Planning

  • 周 瑋千

Student thesis: Doctoral Thesis

Abstract

It is critical for information and communications technology (ICT) companies to carry our effective power planning in order to support the growing number of services they provide and this traditionally relies on the tacit knowledge and experience of senior staff The loss of such domain knowledge resulting from the retirement of older staff is thus an important issue for organizations such as Chunghwa Telecomm (CHT) the largest ICT operator in Taiwan This study therefore develops a novel power planning model using a multi-criteria operational performance evaluation based on the senior staff’s tacit domain knowledge and experience A group version of the repertory grid and fuzzy TOPSIS approaches is applied to elicit a set of evaluation criteria that senior staff agree on and then the priorities of the telecom rooms are evaluated against this In extending TOPSIS to a group decision environment the implementation of aggregation in the TOPSIS procedure would vary the final decision A novel decision aggregation strategy with respect to the degree of variation among decision makers is thus proposed: (1) first aggregation: aggregating the individual decisions into a group (2) last aggregation: aggregating the individual separation measures to a group In addition a new factor reflecting the attitudes of the decision makers with respect to the degree of strictness is defined to determine the superiority and inferiority of each alternative compared to the others Furthermore a quantitative assessment is carried out to analyze its impact on the ranking results objectively The proposed model may help ICT organizations to more effectively manage their power resources and thus obtain competitive advantages
Date of Award2016 Dec 27
Original languageEnglish
SupervisorSheng-Tun Li (Supervisor)

Cite this

A Study of Fuzzy Multi-Criteria Decision Making Model for ICT Resource Planning
瑋千, 周. (Author). 2016 Dec 27

Student thesis: Doctoral Thesis