[BOOK][B] Uncertainty theory
DB Liu, DB Liu - 2007 - Springer
A classical measure is essentially a set function satisfying nonnegativity and countable
additivity axioms. However, the additivity axiom of classical measure theory has been …
additivity axioms. However, the additivity axiom of classical measure theory has been …
Strategic capacity planning for smart production: Decision modeling under demand uncertainty
Semiconductor manufacturing is a capital-intensive industry that capital utilization rate
significantly affect the capacity effectiveness and final profit. Capacity portfolio planning …
significantly affect the capacity effectiveness and final profit. Capacity portfolio planning …
Mean-variance model for portfolio optimization problem in the simultaneous presence of random and uncertain returns
Z Qin - European Journal of Operational Research, 2015 - Elsevier
The determination of security returns will be associated with the validity of the corresponding
portfolio selection models. The complexity of real financial market inevitably leads to …
portfolio selection models. The complexity of real financial market inevitably leads to …
Consensus modeling with cost chance constraint under uncertainty opinions
X Tan, Z Gong, F Chiclana, N Zhang - Applied Soft Computing, 2018 - Elsevier
Goal programming is often applied into uncertain group decision making to achieve the
optimal solution. Exiting models focus on either the minimum cost (guaranteeing negotiation …
optimal solution. Exiting models focus on either the minimum cost (guaranteeing negotiation …
[HTML][HTML] Reliability analysis for the fractional-order circuit system subject to the uncertain random fractional-order model with Caputo type
Introduction According to the competing failure theorem, the fractional-order Resistor
Capacitance (RC) circuit system suffers not only from internal degradation but also from …
Capacitance (RC) circuit system suffers not only from internal degradation but also from …
Chance constraints and machine learning integration for uncertainty management in virtual power plants operating in simultaneous energy markets
The management of uncertainty is one of the most important issues affecting the optimal
operation of Distributed Energy Resources (DERs). Virtual Power Plants (VPPs) aggregate …
operation of Distributed Energy Resources (DERs). Virtual Power Plants (VPPs) aggregate …
Risk assessment of uncertain random system—Level-1 and level-2 joint propagation of uncertainty and probability in fault tree analysis
Uncertainty analysis plays a significant role in risk assessment, which consists of two tasks:
uncertainty expressions of input variables in the model and their propagations through the …
uncertainty expressions of input variables in the model and their propagations through the …
Law of large numbers for uncertain random variables
The law of large numbers in probability theory states that the average of random variables
converges to its expected value in some sense under some conditions. Sometimes, random …
converges to its expected value in some sense under some conditions. Sometimes, random …
Reliability analysis in uncertain random system
Reliability analysis of a system based on probability theory has been widely studied and
used. Nevertheless, it sometimes meets with one problem that the components of a system …
used. Nevertheless, it sometimes meets with one problem that the components of a system …
Uncertain programming model for multi-item solid transportation problem
H Dalman - International Journal of Machine Learning and …, 2018 - Springer
In this paper, an uncertain Multi-objective Multi-item Solid Transportation Problem (MMSTP)
based on uncertainty theory is presented. In the model, transportation costs, supplies …
based on uncertainty theory is presented. In the model, transportation costs, supplies …