Elements for a Theory of Decision in Uncertainty - Info and Reading Options
By Jaime Gil-Aluja

"Elements for a Theory of Decision in Uncertainty" was published by Springer US in 1999 - Boston, MA, it has 350 pages and the language of the book is English.
“Elements for a Theory of Decision in Uncertainty” Metadata:
- Title: ➤ Elements for a Theory of Decision in Uncertainty
- Author: Jaime Gil-Aluja
- Language: English
- Number of Pages: 350
- Publisher: Springer US
- Publish Date: 1999
- Publish Location: Boston, MA
“Elements for a Theory of Decision in Uncertainty” Subjects and Themes:
- 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 Science
Edition Specifications:
- Format: [electronic resource] /
- Pagination: 1 online resource (350 p.)
Edition Identifiers:
- The Open Library ID: OL27035596M - OL19846651W
- Online Computer Library Center (OCLC) ID: 851761481
- ISBN-13: 9781441948175 - 9781475730111
- ISBN-10: 1441948171 - 147573011X
- All ISBNs: 1441948171 - 147573011X - 9781441948175 - 9781475730111
AI-generated Review of “Elements for a Theory of Decision in Uncertainty”:
"Elements for a Theory of Decision in Uncertainty" Description:
The Open Library:
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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