A Comprehensive Platform for Dynamic Decision Support in Warning Systems through Better Management of Uncertain Information

Funding: 2008: $69,000
2009: $63,000
2010: $59,000

Project Member(s): Lu, J., Zhang, G.

Funding or Partner Organisation: Australian Research Council (Other funds for ARC projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2008

Summary: Some warning systems for nonphysical threats are often ineffective because uncertain information influences decisions about whether to activate warnings. This project will develop methodologies and software for fusing multi-source uncertain information and integrate them with improved dynamic decision support software within a comprehensive platform of warning systems, by applying computerized intelligence techniques. The developed methodologies and software can be used directly to improve the effectiveness and reliability of existing warning systems through better management of uncertain information and support dynamic decision making. The platform can be used in the development of new warning systems and related theoretical research.

Publications:

Naderpour, M, Lu, J & Zhang, G 2016, 'A safety-critical decision support system evaluation using situation awareness and workload measures', RELIABILITY ENGINEERING & SYSTEM SAFETY, vol. 150, pp. 147-159.
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Amailef, K & Lu, J 2013, 'Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services', DECISION SUPPORT SYSTEMS, vol. 55, no. 1, pp. 79-97.
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Lu, J, Niu, L & Zhang, G 2013, 'A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems', IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 60, no. 3, pp. 1059-1069.
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Niu, L, Lu, J, Zhang, G & Wu, D 2013, 'FACETS: A cognitive business intelligence system', INFORMATION SYSTEMS, vol. 38, no. 6, pp. 835-862.
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Amailef, K & Lu, J 2012, 'Mobile-Based Emergency Response System Using Ontology-Supported Information Extraction' in Lu, J, Jain, LC & Zhang, G (eds), Intelligent Systems Reference Library, Springer Berlin Heidelberg, Berlin; New York, pp. 429-449.
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Niu, L, Lu, J & Zhang, G 2009, Cognition-Driven Decision Support for Business Intelligence, 1st, Springer Berlin Heidelberg, Berlin/Heidelberg.
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Lu, J, Zhu, Y, Zeng, X, Koehl, L, Ma, J & Zhang, G 2009, 'A linguistic multi-criteria group decision support system for fabric hand evaluation', FUZZY OPTIMIZATION AND DECISION MAKING, vol. 8, no. 4, pp. 395-413.
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Wang, C, Lu, J & Zhang, G 2009, 'Web ontology data matching for integration: method and framework', International Journal of Web Information Systems, vol. 5, no. 2, pp. 220-238.
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Zhang, G, Dillon, TS, Cai, K-Y, Ma, J & Lu, J 2009, 'Operation properties and delta-equalities of complex fuzzy sets', INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 50, no. 8, pp. 1227-1249.
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Zhang, G, Ma, J & Lu, J 2009, 'Emergency management evaluation by a fuzzy multi-criteria group decision support system', STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, vol. 23, no. 4, pp. 517-527.
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Lu, N, Lu, J & Zhang, G 1970, 'An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems', KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II, PROCEEDINGS, International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Springer, Santiago, Chile, pp. 372-379.
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Lu, N, Lu, J & Zhang, G 1970, 'Maintaining Footprint-Based Retrieval for Case Deletion', NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, International Conference on Neural Information Processing, Springer, Bangkok, Thailand, pp. 318-325.
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Keywords: Uncertainty information processing, Decision support systems, Computational intelligence, Fuzzy sets, Fuzzy decision making, eService intelligence,

FOR Codes: Neural Networks, Genetic Alogrithms and Fuzzy Logic, Information Systems Management, Information processing services, Application packages, Computer software and services not elsewhere classified, Decision Support and Group Support Systems, Information Processing Services (incl. Data Entry and Capture), Neural, Evolutionary and Fuzzy Computation, Evolutionary computation, Information systems organisation and management, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.