|
|
|
|
LEADER |
02504nmm a2200385 u 4500 |
001 |
EB000354661 |
003 |
EBX01000000000000000207713 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
130626 ||| eng |
020 |
|
|
|a 9780387301778
|
100 |
1 |
|
|a Kaliszewski, Ignacy
|
245 |
0 |
0 |
|a Soft Computing for Complex Multiple Criteria Decision Making
|h Elektronische Ressource
|c by Ignacy Kaliszewski
|
250 |
|
|
|a 1st ed. 2006
|
260 |
|
|
|a New York, NY
|b Springer US
|c 2006, 2006
|
300 |
|
|
|a XX, 172 p. 48 illus
|b online resource
|
505 |
0 |
|
|a Preliminaries -- MCDM - Basic Tools -- MCDM Interactive Methods - An Overview -- Universal MCDM Interface -- Generic Interactive MCDM Support Scheme -- Bounds on Outcome Components -- Bounds on Global Trade-Offs -- Soft Computing for Complex MCDM Problems
|
653 |
|
|
|a Industrial Management
|
653 |
|
|
|a Operations Management
|
653 |
|
|
|a Operations research
|
653 |
|
|
|a Optimization
|
653 |
|
|
|a Computer science
|
653 |
|
|
|a Production management
|
653 |
|
|
|a Mathematical Modeling and Industrial Mathematics
|
653 |
|
|
|a Theory of Computation
|
653 |
|
|
|a Mathematical optimization
|
653 |
|
|
|a Operations Research and Decision Theory
|
653 |
|
|
|a Mathematical models
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a International Series in Operations Research & Management Science
|
028 |
5 |
0 |
|a 10.1007/0-387-30177-1
|
856 |
4 |
0 |
|u https://doi.org/10.1007/0-387-30177-1?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 658,403
|
520 |
|
|
|a There are numerous books on Multiple Criteria Decision Making. Soft Computing for Complex Multiple Criteria Decision Making concentrates on providing technical (meaning formal, mathematical, algorithmical) tools to make the user of Multiple Criteria Decision Making methodologies independent of bulky optimization computations. These bulky computations up to now have been a necessary, but limiting, characteristic of interactive MCDM methodologies and algorithms. This book removes these limitations of MCDM problems by reducing a problem's computational complexity. The book systematically applies the approximate — soft — treatments to major MCDM solving methodologies. As a result, it provides a wider and more functional general framework for presenting, teaching, implementing and applying a wide range of MCDM methodologies. The book seeks to provide a stimulus for a broader development and application of MCDM methods
|