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Fuzzy approach to outsourcing of information technology services
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Proceedings of the 2005 ACM symposium on Applied computing table of contents
Santa Fe, New Mexico
SESSION: Agents, interactions, mobility, and systems (AIMS): poster paper table of contents
Pages: 94 - 98  
Year of Publication: 2005
ISBN:1-58113-964-0
Authors
Ludmil Mikhailov  The University of Manchester, Manchester, United Kingdom
Petco Tsvetinov  Queensland University of Technology, Brisbane, Australia
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The paper proposes a new approach for tackling the uncertainty and imprecision in outsourcing and evaluating Information Technology services. Identifying suitable outsourcing options, evaluating them and choosing the best one are regarded as multiple decision criteria decision making problems under uncertainty, where the imprecise decision-maker's judgments are represented as fuzzy numbers. A fuzzy modification of the Analytic Hierarchy Process is applied as an evaluation technique. Unlike the known fuzzy prioritization techniques, the proposed method derives crisp weights from consistent and inconsistent fuzzy comparison matrices, which eliminates the need of additional aggregation and ranking procedures. A detailed numerical example, illustrating the application of our approach to outsourcing evaluation and selection is given.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Ludmil Mikhailov: colleagues
Petco Tsvetinov: colleagues