Title: Disaster management of information resources using fuzzy and attitudinal modelling

Authors: Kurt J. Engemann, Holmes E. Miller, Ronald R. Yager

Addresses: Department of Information and Decision Technology Management, Iona College, New Rochelle, NY 10801, USA. ' Department of Accounting, Business and Economics, Muhlenberg College, Allentown, PA 18104, USA. ' Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, USA

Abstract: In this paper we provide a methodology for disaster management in information technology. We provide a framework to explore the relationship among threats, events, control alternatives and losses. In evaluating a control alternative, we look beyond the traditional expected value as a summary measure of expectation and the traditional variance as a measure of dispersion. A new measure of dispersion is introduced which incorporates the decision maker|s disposition. This generalised variance can be used in conjunction with an attitudinal expected value of an alternative|s payoffs in order to allow the decision maker to assess the overall value of alternatives.

Keywords: disaster management; information resources; information technology; IT investment; risk management; bias; optimism; ordered weighted averaging operators; attitudinal variance; attitudinal expected value; attitudinal standard deviation; decision attitude; fuzzy sets; decision making; fuzzy logic; investment decisions; investment risk.

DOI: 10.1504/IJTPM.2005.008637

International Journal of Technology, Policy and Management, 2005 Vol.5 No.4, pp.388 - 406

Published online: 12 Jan 2006 *

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