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Article

Emergency Service Provision Using a Novel Hybrid SOM-Spiral STC Model for Group Decision Support under Dynamic Uncertainty

by 1,* and 2
1
School of Information and Communication Technology, Hanoi University of Science and Technology, 1 Dai Co Viet, Le Dai Hanh, Hai Ba Trung, Hanoi 10000, Vietnam
2
School of Information Science and Engineering, Lanzhou University, Feiyun Building, 222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Lanzhou 730030, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(18), 3910; https://doi.org/10.3390/app9183910
Received: 5 August 2019 / Revised: 4 September 2019 / Accepted: 11 September 2019 / Published: 18 September 2019
In emergency scenarios service vehicles must identify potential route(s) and use the best available route. However, route identification requires intelligent decision-support systems which generally use non-traditional approaches with tools characterised by flexible non-hierarchical structures. Conventional models using group decision-support systems have been applied; however, when used in smart urban environments, emergency response services have limitations in their ability to identify unobstructed paths (routes) in dynamic operating environments. In this paper we introduce a novel path planning method for autonomous vehicle control in emergency situations. The proposed model uses self-organizing maps in an integrated Spiral STC algorithm termed the: Hybrid SOM-Spiral STC model which uses hedge algebras and Kansei evaluation in group decision-support. The proposed model has been designed to quantify qualitative factors using sensor derived data processed with human sensibilities and preferences in emergency decision support. The experimental results show that the proposed model achieves significant improvements in group decision-support under dynamic uncertainty. We posit that our novel approach holds the prospect of improvements in the provision of emergency services. View Full-Text
Keywords: self organizing maps; fuzzy rules; emergency planning and management; group decision support; autonomous robot control; smart-environments self organizing maps; fuzzy rules; emergency planning and management; group decision support; autonomous robot control; smart-environments
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MDPI and ACS Style

Van Pham, H.; Moore, P. Emergency Service Provision Using a Novel Hybrid SOM-Spiral STC Model for Group Decision Support under Dynamic Uncertainty. Appl. Sci. 2019, 9, 3910. https://doi.org/10.3390/app9183910

AMA Style

Van Pham H, Moore P. Emergency Service Provision Using a Novel Hybrid SOM-Spiral STC Model for Group Decision Support under Dynamic Uncertainty. Applied Sciences. 2019; 9(18):3910. https://doi.org/10.3390/app9183910

Chicago/Turabian Style

Van Pham, Hai, and Philip Moore. 2019. "Emergency Service Provision Using a Novel Hybrid SOM-Spiral STC Model for Group Decision Support under Dynamic Uncertainty" Applied Sciences 9, no. 18: 3910. https://doi.org/10.3390/app9183910

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