Decision support for information systems selection

Ludmil Mikhailov; Audrey Masizana

doi:10.1109/ICSMC.2004.1400993

Decision support for information systems selection

Ludmil Mikhailov, Audrey Masizana

MSM Decision Sciences

Research output: Chapter in Book/Conference proceeding › Conference 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 language	English
Title of host publication	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics\|Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.
Pages	5044-5049
Number of pages	5
Volume	6
DOIs	https://doi.org/10.1109/ICSMC.2004.1400993
Publication status	Published - 2004
Event	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague Duration: 1 Jul 2004 → …

Conference

Conference	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
City	The Hague
Period	1/07/04 → …

Keywords

Analytic Hierarchy Process
Decision support systems
Fuzzy judgments
Information systems selection

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10.1109/ICSMC.2004.1400993

Cite this

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title = "Decision support for information systems selection",

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. {\textcopyright} 2004 IEEE.",

keywords = "Analytic Hierarchy Process, Decision support systems, Fuzzy judgments, Information systems selection",

author = "Ludmil Mikhailov and Audrey Masizana",

year = "2004",

doi = "10.1109/ICSMC.2004.1400993",

language = "English",

isbn = "0780385667",

volume = "6",

pages = "5044--5049",

booktitle = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.",

note = "2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 ; Conference date: 01-07-2004",

}

Mikhailov, L & Masizana, A 2004, Decision support for information systems selection. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.. vol. 6, pp. 5044-5049, 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004, The Hague, 1/07/04. https://doi.org/10.1109/ICSMC.2004.1400993

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T1 - Decision support for information systems selection

AU - Mikhailov, Ludmil

AU - Masizana, Audrey

PY - 2004

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N2 - 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.

AB - 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.

KW - Analytic Hierarchy Process

KW - Decision support systems

KW - Fuzzy judgments

KW - Information systems selection

U2 - 10.1109/ICSMC.2004.1400993

DO - 10.1109/ICSMC.2004.1400993

M3 - Conference contribution

SN - 0780385667

VL - 6

SP - 5044

EP - 5049

BT - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|Conf. Proc. IEEE Int. Conf. Syst. Man Cybern.

T2 - 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004

Y2 - 1 July 2004

ER -

Decision support for information systems selection

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