Discrete Optimization with Interval Data Minmax Regret and Fuzzy Approach /
In operations research applications we are often faced with the problem of incomplete or uncertain data. This book considers solving combinatorial optimization problems with imprecise data modeled by intervals and fuzzy intervals. It focuses on some basic and traditional problems, such as minimum sp...
Main Author: | Kasperski, Adam (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
Series: | Studies in Fuzziness and Soft Computing,
228 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Fuzzy Multi-Criteria Decision Making Theory and Applications with Recent Developments /
Published: (2008) -
Fuzzy Preference Ordering of Interval Numbers in Decision Problems
by: Sengupta, Atanu, et al.
Published: (2009) -
Fuzzy Optimization Recent Advances and Applications /
Published: (2010) -
Uncertainty Theory
by: Liu, Dr. Baoding
Published: (2007) -
From Curve Fitting to Machine Learning An Illustrative Guide to Scientific Data Analysis and Computational Intelligence /
by: Zielesny, Achim
Published: (2016)