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This book provides tools for making decisions in an environment of uncertainty. In Chapter 1 the author explains the most important aspects of the concept of relation. From this start arise the other three concepts that cover practically all processes from which decisions stem. These three concepts are: attribution from which the concept of assignment arises; and grouping, which includes the concept of an original function. The techniques presented, as well as the models and algorithms developed, constitute an invaluable aid for those who must make decisions. Audience: Researchers and graduate students interested in mathematics applied to economics and management.
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Subjects
Computational complexity, Symbolic and mathematical Logic, Economics, Methodology, Operations research, Social sciences, Decision making, Uncertainty, Economics/Management Science, Operation Research/Decision Theory, Methodology of the Social Sciences, Mathematical Logic and Foundations, Discrete Mathematics in Computer ScienceEdition | Availability |
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1
Elements for a Theory of Decision in Uncertainty
1999, Springer US
electronic resource /
in English
1441948171 9781441948175
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2
Elements for a Theory of Decision in Uncertainty
1999, Island Press
in English
1475730128 9781475730128
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Mode of access: World Wide Web.
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- Created June 30, 2019
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March 28, 2025 | Edited by ImportBot | Redacting ocaids |
September 28, 2024 | Edited by MARC Bot | import existing book |
February 27, 2022 | Edited by ImportBot | import existing book |
October 4, 2021 | Edited by ImportBot | import existing book |
June 30, 2019 | Created by MARC Bot | Imported from Internet Archive item record |