Decision support for information systems selection

Ludmil Mikhailov, Audrey Masizana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The main objective of this paper is to explore the applicability of a new procedure to the decision process of information systems selection, the major aspect of which is tackling the uncertainty and imprecision of data, while using the risk as a trade-off measure to prioritize alternative systems. The new procedure consists in a modification of the Analytic Hierarchy Process, where the imprecise decision-maker's judgments are represented as fuzzy numbers. A non-linear optimization method is applied, which derives crisp weights from inconsistent and consistent fuzzy comparison matrices. The weights of the risk factors are then used in an aggregation procedure for selecting the best alternative system. © 2004 IEEE.
Original languageEnglish
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.
Pages5044-5049
Number of pages5
Volume6
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague
Duration: 1 Jul 2004 → …

Conference

Conference2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
CityThe Hague
Period1/07/04 → …

Keywords

  • Analytic Hierarchy Process
  • Decision support systems
  • Fuzzy judgments
  • Information systems selection

Fingerprint

Dive into the research topics of 'Decision support for information systems selection'. Together they form a unique fingerprint.

Cite this