Furthermore, in order to make proposed model closer to human way of reasoning, decision maker's point of view for successful project, is modelled with triangular fuzzy numbers.
As part of the evaluation, we illustrate the application of DO4MG for implementing a case-based reasoning decision support for emergency medical management in mass gatherings.
Objective: This paper studies the differences between controlled medical vocabularies that are designed as external artifacts and the mental concepts that are inside users' heads and used by users for reasoning, decision making, diagnosis, and treatment.
These tools include two statistical tools: multiple discriminant analysis and Logistic regression; and six artificial intelligence tools: artificial neural network, support vector machines, rough sets, case based reasoning, decision tree and genetic algorithm.
Results: It was found that there are significant mismatches between controlled medical vocabularies that are designed as external artifacts and the mental concepts that are inside users' heads and used by users for reasoning, decision making, diagnosis, and treatment.
Adapting its reasoning features, including forward reasoning, importance analysis and background reasoning, decision makers are provided with systematic and effective support for safety control in the overall work process.
More precisely, it aims to construct computing machines that execute core mental tasks such as reasoning, decision-making, problem solving, and so on.
One especially interesting application is based on what have come to be known as dual-system models of cognition, reasoning, decision-making, and behavior.
Consumers constantly seek convenience, choice, excellent service, information, and enjoyable experiences through reasoning, decision-making, problem-solving, and evaluation (Kim, 2012).
Yet we still have a tremendous amount to learn about how neural tissue accomplishes the tasks that it surely accomplishes: perception, reasoning, decision-making, language acquisition, and so on.
The computer revolution transformed discussion of these questions, offering our best prospects yet for machines that emulate reasoning, decision-making, problem solving, perception, linguistic comprehension, and other characteristic mental processes.
