Uncertainty Theory [electronic resource] / by Dr. Baoding Liu.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783540731658
- Engineering
- Artificial intelligence
- Mathematical optimization
- Operations research
- Distribution (Probability theory)
- Engineering mathematics
- Engineering
- Appl.Mathematics/Computational Methods of Engineering
- Artificial Intelligence (incl. Robotics)
- Optimization
- Operations Research, Mathematical Programming
- Probability Theory and Stochastic Processes
- Operations Research/Decision Theory
- 519 23
- TA329-348
- TA640-643
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-44395 |
Prerequisites -- Probability Theory -- Credibility Theory -- Chance Theory -- Uncertainty Theory -- Supplements.
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.
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