Evaluation of services using a fuzzy analytic hierarchy process

L. Mikhailov, P. Tsvetinov

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a new approach for tackling the uncertainty and imprecision of the service evaluation process. Identifying suitable service offers, evaluating the offers and choosing the best alternatives are activities that set the scene for the consequent stages in negotiations and influence in a unique manner the following deliberations. The pre-negotiation problem in negotiations over services is regarded as decision-making under uncertainty, based on multiple criteria of quantitative and qualitative nature, where the imprecise decision-maker's judgements are represented as fuzzy numbers. A new fuzzy modification of the analytic hierarchy process is applied as an evaluation technique. The proposed fuzzy prioritisation method uses fuzzy pairwise comparison judgements rather than exact numerical values of the comparison ratios and transforms the initial fuzzy prioritisation problem into a non-linear program. Unlike the known fuzzy prioritisation 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 service evaluation is given. © 2004 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)23-33
Number of pages10
JournalApplied Soft Computing Journal
Volume5
Issue number1
DOIs
Publication statusPublished - Dec 2004

Keywords

  • Analytic hierarchy process
  • Decision support
  • Fuzzy decision-making
  • Multi-criteria decision-making
  • Service pre-negotiations

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