|
|
|
|
| LEADER |
03149nmm a2200397 u 4500 |
| 001 |
EB000382443 |
| 003 |
EBX01000000000000000235495 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
130626 ||| eng |
| 020 |
|
|
|a 9783642021879
|
| 100 |
1 |
|
|a Rakus-Andersson, Elisabeth
|e [editor]
|
| 245 |
0 |
0 |
|a Recent Advances in Decision Making
|h Elektronische Ressource
|c edited by Elisabeth Rakus-Andersson, Ronald R. Yager, Nikhil Ichalkaranje
|
| 250 |
|
|
|a 1st ed. 2009
|
| 260 |
|
|
|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2009, 2009
|
| 300 |
|
|
|a XI, 179 p
|b online resource
|
| 505 |
0 |
|
|a Advances in Decision Making -- Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives -- Fuzzy Rule Base Model Identification by Bacterial Memetic Algorithms -- Discovering Associations with Uncertainty from Large Databases -- Dempster-Shafer Structures, Monotonic Set Measures and Decision Making -- The Development of Interpretable Decision-Making Models: A Study in Information Granularity and Semantically Grounded Logic Operators -- A General Methodology for Managerial Decision Making Using Intelligent Techniques -- Supporting Decision Making via Verbalization of Data Analysis Results Using Linguistic Data Summaries -- Computational Intelligence in Medical Decisions Making
|
| 653 |
|
|
|a Industrial Management
|
| 653 |
|
|
|a Operations Research, Management Science
|
| 653 |
|
|
|a Operations research
|
| 653 |
|
|
|a Engineering mathematics
|
| 653 |
|
|
|a Management science
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Engineering / Data processing
|
| 653 |
|
|
|a Operations Research and Decision Theory
|
| 653 |
|
|
|a Mathematical and Computational Engineering Applications
|
| 700 |
1 |
|
|a Yager, Ronald R.
|e [editor]
|
| 700 |
1 |
|
|a Ichalkaranje, Nikhil
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Studies in Computational Intelligence
|
| 028 |
5 |
0 |
|a 10.1007/978-3-642-02187-9
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-642-02187-9?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 658.403
|
| 520 |
|
|
|a Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making A new method of ranking intuitionistic fuzzy alternatives Fuzzy rule base model identification by bacterial memetic algorithms Discovering associations with uncertainty from large databases Dempster-Shafer structures, monotonic set measures and decision making Interpretable decision-making models A General methodology for managerial decision making Supporting decision making via verbalization of data analysis results using linguistic data summaries Computational intelligence in medical decisions making This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making
|