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This paper studies a class of fuzzy-stochastic resource-allocation (fSRA) problems which involve both subjective and objective uncertainty (i.e., fuzziness and randomness). In the FSRA, the capability of a resource to complete a task is characterized by a probability parameter which is uncertain and stochastic while the reward of a task is expressed as a fuzzy number. The FSRA problem is formulated...
This Congestion tolls provide an efficient way to mitigate traffic congestion. In deterministic networks, an optimal routing of traffic can arise as a user equilibrium by levying marginal-cost toll. In reality, traffic demands vary day in day out. The uncertainty of demand brings difficulties to design transport policies in theory and to implement the traffic coordination in practice. The expected...
This paper analyzes laws of disaster evolution and characteristics of disaster situation information and divides the problem into two phases. Under the background of two phases and multi kinds of warehouses, this paper studies how to distribute relief supplies in an effectively and fairly manner to meet the needs of disaster victims and reduce the loss. In black decision phase, without the determining...
This paper deals with the observer design for the Lur'e differential inclusion system with Markovian jump parameters. The information of transition probabilities is partially unknown. The stochastic observer is designed to make the error system exponentially stable in mean square. The condition for the existence of the stochastic observer is given by a set of linear matrix inequalities and linear...
In this paper, we are interested in the Robust Sensor Placement Problem (RSPP) in municipal water networks. As the contamination source and time are rather random and almost impossible to forecast, we aim to minimize the maximum population exposed over all contamination scenarios by placing a limited number of sensors into the network. We formulate a mixed-integer program model based on an absolute...
Casualty relief in a disaster is one of the most important issues in emergency management. After the occurrence of a natural disaster, such as earthquakes, it is difficult to determine the precise casualty number due to lack of useful and effective information. In order to describe the uncertainty feature of the casualty, Scenario Analyze Method (SAM) is adopted, and multi-period robust optimization...
It is a rational assumption that travelers would not be completely in compliance with the guidance by advanced traveler information systems (ATIS). This paper presents a dynamic programming model for investigating the day-to-day receiving and adjusting process to the information released by ATIS. The dynamic model aims at seeking an optimal information release strategy for minimizing the overall disutility...
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