Validation of Decision Support System (DSS) through simulation games or serious game is one way of validating the cognitive capability models through expert opinion. Here, this technique is used to validate PREDIS as a model for DISaster response supplier selection (PREDIS), previously introduced by authors. This DSS is a combination of a PREDictive component (PRED) for predicting the disaster human impact, an estimation component to Estimate the DISaster (EDIS) needs and optimised for supplier based resource allocation. This paper aims to test the suitability of the PREDIS model further for decision-making in the disaster situation. A quasi-experiment design embedded in a participatory simulation game is conducted to compare the opinion of...
Purpose This paper describes a knowledge-based Decision Support System to improve the preparedness, ...
This paper presents the use of Human Behavior Modeling for Disaster Relief and Emergency...
Efficient response to natural disasters has an increasingly important role in limiting the toll on h...
In this paper, we validate PREDIS, a decision support system for disaster management using serious g...
The extraordinary conditions of a disaster require the mobilisation of all available resources, indu...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
This paper describes the overall architecture of a simulator developed by Simulation Team and Genova...
The presentation will describe an innovative collaborative research effort between a university, ind...
Resource management and conflict resolution skills are essential to navigating decisions in life, bu...
The asymmetric policy and science domains, face a number of challenges when it comes to managing dis...
This paper presents the use of Human Behavior Modeling for Disaster Relief and Emergency...
In very low-frequency, high-consequence events such as earthquakes or those resulting from malfuncti...
The research reported here is relevant to human decision making in disaster, emergency, and generall...
Because of the continuous burst of emergency events (EEs) recently, emergency decision making (EDM) ...
This paper describes a knowledge-based decision support system (KB-DSS) to improve the preparedness ...
Purpose This paper describes a knowledge-based Decision Support System to improve the preparedness, ...
This paper presents the use of Human Behavior Modeling for Disaster Relief and Emergency...
Efficient response to natural disasters has an increasingly important role in limiting the toll on h...
In this paper, we validate PREDIS, a decision support system for disaster management using serious g...
The extraordinary conditions of a disaster require the mobilisation of all available resources, indu...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
This paper describes the overall architecture of a simulator developed by Simulation Team and Genova...
The presentation will describe an innovative collaborative research effort between a university, ind...
Resource management and conflict resolution skills are essential to navigating decisions in life, bu...
The asymmetric policy and science domains, face a number of challenges when it comes to managing dis...
This paper presents the use of Human Behavior Modeling for Disaster Relief and Emergency...
In very low-frequency, high-consequence events such as earthquakes or those resulting from malfuncti...
The research reported here is relevant to human decision making in disaster, emergency, and generall...
Because of the continuous burst of emergency events (EEs) recently, emergency decision making (EDM) ...
This paper describes a knowledge-based decision support system (KB-DSS) to improve the preparedness ...
Purpose This paper describes a knowledge-based Decision Support System to improve the preparedness, ...
This paper presents the use of Human Behavior Modeling for Disaster Relief and Emergency...
Efficient response to natural disasters has an increasingly important role in limiting the toll on h...