A framework with reasoning capabilities for crisis response decision–support systems
| Autor: | Guixiang Xue, Pei Wang, Wenjun Wang, Nady Slam |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Reasoning system
Decision support system Qualitative reasoning Procedural reasoning system Knowledge representation and reasoning Artificial Intelligence Control and Systems Engineering Computer science Artificial general intelligence Management science Crisis management Electrical and Electronic Engineering Model-based reasoning |
| Zdroj: | Engineering Applications of Artificial Intelligence. 46:346-353 |
| ISSN: | 0952-1976 |
| DOI: | 10.1016/j.engappai.2015.06.017 |
| Popis: | This paper reviews the methods in decision-support systems for crisis management. While much research has been conducted in this field, little emphasis has been placed on the uncertainty representation, reasoning, learning and real time decision-making capabilities of system. The purpose of this paper is to explore the basic assumptions of constructing an intelligent decision-support system for crisis response management. A novel framework for crisis response decision-making system under the assumption of openness to various kinds of uncertainties, reasoning and learning with real-time response is proposed. We applied the Non-Axiomatic Logic in representing and reasoning the uncertainty knowledge in the framework and demonstrated the reasoning and learning mechanisms of the framework through an application in a case study in the field of urban firefighting. The results show that the framework provides a suitable model for intelligent crisis response decision support systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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