Elements for a Theory of Decision in Uncertainty
By: by Jaime Gil-Aluja
Series: Applied Optimization -- 32; Applied optimization -- 32.
Publisher: Springer US
Published: 1999
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 350
ISBN-13: 9781441948175; 9781475730111
Subjects: Computational complexity; Symbolic and mathematical Logic; Economics; Methodology; Operations research; Social sciences
Description: 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.
Notes: Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.