A framework with reasoning capabilities for crisis response decision–support systems. (November 2015)

• Record Type: Journal Article
• Authors: Slam, Nady; Wang, Wenjun; Xue, Guixiang; Wang, Pei
• Is Part Of: Engineering applications of artificial intelligence. Volume 46:Part B(2015:Oct.)
• Page Start: 346
• Page End: 353
• Publication Date: 2015-11
• Subjects: Crisis response decision–support system -- Non-Axiomatic Reasoning system -- Non-Axiomatic Logic -- Artificial General Intelligence; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2015.06.017
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: 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.