A guide to expert systems
Representation and semiautomatic acquisition of medical knowledge in CADIAG-1 and CADIAG-2
Computers and Biomedical Research
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration
Fuzzy Sets and Systems
Integrating artificial neural networks with rule-based expert systems
Decision Support Systems - Special issue on neural networks for decision support
Expert Systems: Design and Development
Expert Systems: Design and Development
Simple computation for the defuzzifications of center of sum and center of gravity
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Expert Systems with Applications: An International Journal
A fuzzy statistics based method for mining fuzzy correlation rules
WSEAS Transactions on Mathematics
Design concept evaluation in product development using rough sets and grey relation analysis
Expert Systems with Applications: An International Journal
Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An intelligent simulation system for earthquake disaster assessment
Computers & Geosciences
Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Parallel and multistage fuzzy inference based on families of α-level sets
Information Sciences: an International Journal
Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods
Expert Systems with Applications: An International Journal
Computers and Operations Research
Using the TODIM-FSE method as a decision-making support methodology for oil spill response
Computers and Operations Research
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Most of the existing disaster assessment models are based on single method, such as expert system, or one of the multi-criteria decision making (MCDM) methods. This paper proposes an efficient disaster assessment expert system, which integrates fuzzy logic, survey questionnaire, Delphi method and MCDM methods. Two simulation experiments on typhoon and earthquake are introduced to validate the integrated expert system. The satisfaction degrees of the proposed model in both cases are 75% and 74.5%, respectively, which are close to the ideal rate (78%) of the proposed model. The experimental results show that the proposed expert system is not only efficient, fast and accurate, but also robust through self-adaptive study and has strong adaptability to different environments.