On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Database Systems Concepts
DM-AMS: employing data mining techniques for alert management
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A DSS Design Model for complex problems: Lessons from mission critical infrastructure
Decision Support Systems
Field Experiences with eXtreme Programming: Developing an Emergency Response System
Journal of Management Information Systems
The role of data warehousing in bioterrorism surveillance
Decision Support Systems
Using AI and games for decision support in command and control
Decision Support Systems
Efficiency of critical incident management systems: Instrument development and validation
Decision Support Systems
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
The use of grey relational analysis in solving multiple attribute decision-making problems
Computers and Industrial Engineering
Transportation security decision support system for emergency response: A training prototype
Decision Support Systems
Information Sciences: an International Journal
Instantiating global crisis networks: The case of SARS
Decision Support Systems
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Design and evaluation of an intelligent decision support system for nuclear emergencies
Decision Support Systems
Beauty and the beast: the theory and practice of information integration
ICDT'07 Proceedings of the 11th international conference on Database Theory
Least squares quantization in PCM
IEEE Transactions on Information Theory
Comparison of weights in TOPSIS models
Mathematical and Computer Modelling: An International Journal
Multiple criteria decision making and decision support systems - Guest editor's introduction
Decision Support Systems
Shall we dance? - The effect of information presentations on negotiation processes and outcomes
Decision Support Systems
The role of centrality in ambulance dispatching
Decision Support Systems
Measurement of analytical knowledge-based corporate memory and its application
Decision Support Systems
The Journal of Supercomputing
A FTA-based method for risk decision-making in emergency response
Computers and Operations Research
Analytic network process in risk assessment and decision analysis
Computers and Operations Research
An integrated expert system for fast disaster assessment
Computers and Operations Research
Risk decision analysis in emergency response: A method based on cumulative prospect theory
Computers and Operations Research
Community-based collaborative information system for emergency management
Computers and Operations Research
Hi-index | 0.00 |
An effective incident information management system needs to deal with several challenges. It must support heterogeneous distributed incident data, allow decision makers (DMs) to detect anomalies and extract useful knowledge, assist DMs in evaluating the risks and selecting an appropriate alternative during an incident, and provide differentiated services to satisfy the requirements of different incident management phases. To address these challenges, this paper proposes an incident information management framework that consists of three major components. The first component is a high-level data integration module in which heterogeneous data sources are integrated and presented in a uniform format. The second component is a data mining module that uses data mining methods to identify useful patterns and presents a process to provide differentiated services for pre-incident and post-incident information management. The third component is a multi-criteria decision-making (MCDM) module that utilizes MCDM methods to assess the current situation, find the satisfactory solutions, and take appropriate responses in a timely manner. To validate the proposed framework, this paper conducts a case study on agrometeorological disasters that occurred in China between 1997 and 2001. The case study demonstrates that the combination of data mining and MCDM methods can provide objective and comprehensive assessments of incident risks.