|
|
|
|
| LEADER |
02439nmm a2200421 u 4500 |
| 001 |
EB000378939 |
| 003 |
EBX01000000000000000231991 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
130626 ||| eng |
| 020 |
|
|
|a 9783540731658
|
| 100 |
1 |
|
|a Liu, Baoding
|
| 245 |
0 |
0 |
|a Uncertainty Theory
|h Elektronische Ressource
|c by Baoding Liu
|
| 250 |
|
|
|a 2nd ed. 2007
|
| 260 |
|
|
|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2007, 2007
|
| 300 |
|
|
|a X, 255 p
|b online resource
|
| 505 |
0 |
|
|a Prerequisites -- Probability Theory -- Credibility Theory -- Chance Theory -- Uncertainty Theory -- Supplements
|
| 653 |
|
|
|a Operations Research, Management Science
|
| 653 |
|
|
|a Operations research
|
| 653 |
|
|
|a Optimization
|
| 653 |
|
|
|a Engineering mathematics
|
| 653 |
|
|
|a Management science
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Probability Theory
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Engineering / Data processing
|
| 653 |
|
|
|a Applications of Mathematics
|
| 653 |
|
|
|a Mathematics
|
| 653 |
|
|
|a Mathematical optimization
|
| 653 |
|
|
|a Mathematical and Computational Engineering Applications
|
| 653 |
|
|
|a Probabilities
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Studies in Fuzziness and Soft Computing
|
| 028 |
5 |
0 |
|a 10.1007/978-3-540-73165-8
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-73165-8?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 620
|
| 520 |
|
|
|a Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference
|