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Applications of Decision Making with Uncertain Information

Applications of Decision Making with Uncertain Information In the process of decision making, a variety of unpredictable factors can result in imprecise information, which can be classified into randomness, fuzziness, and uncertainty within mathematical frameworks. Accordingly, probability theory, fuzzy set theory, and uncertainty theory, respectively, have been used to describe and handle these types of uncertainties. Moreover, as multifold uncertainties can often occur simultaneously in a complicated system, fuzzy random theory and uncertain random theory have also been developed to handle mixed models of uncertainty. Typically, all these approaches can provide efficient methodologies to handle real‐world uncertain information. This special issue aims to cover all aspects of employing uncertain technologies to find optimal solutions and assist in making the best possible decisions. It also intends to provide the readership with the recent and significant research on the theoretical results in the framework of uncertain technologies and their applications to a variety of real‐world problems, including transportation, management, information systems, economics, supply chain, finance, among others. After the call for papers was announced in late January 2013, this special issue has been attracted tremendous attentions from a number of researchers. Totally, we had received 15 manuscripts before the submission deadline. After a rigorous review process, only http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Intelligent Systems Wiley

Applications of Decision Making with Uncertain Information

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Publisher
Wiley
Copyright
Copyright © 2014 Wiley Periodicals, Inc.
ISSN
0884-8173
eISSN
1098-111X
DOI
10.1002/int.21677
Publisher site
See Article on Publisher Site

Abstract

In the process of decision making, a variety of unpredictable factors can result in imprecise information, which can be classified into randomness, fuzziness, and uncertainty within mathematical frameworks. Accordingly, probability theory, fuzzy set theory, and uncertainty theory, respectively, have been used to describe and handle these types of uncertainties. Moreover, as multifold uncertainties can often occur simultaneously in a complicated system, fuzzy random theory and uncertain random theory have also been developed to handle mixed models of uncertainty. Typically, all these approaches can provide efficient methodologies to handle real‐world uncertain information. This special issue aims to cover all aspects of employing uncertain technologies to find optimal solutions and assist in making the best possible decisions. It also intends to provide the readership with the recent and significant research on the theoretical results in the framework of uncertain technologies and their applications to a variety of real‐world problems, including transportation, management, information systems, economics, supply chain, finance, among others. After the call for papers was announced in late January 2013, this special issue has been attracted tremendous attentions from a number of researchers. Totally, we had received 15 manuscripts before the submission deadline. After a rigorous review process, only

Journal

International Journal of Intelligent SystemsWiley

Published: Jan 1, 2015

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