Natural language, cognitive models, and simulation
Qualitative simulation modeling and analysis
Fuzzy set methods for qualitative and natural language oriented simulation
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Design of the integrated information system, business, and production process by simulation
Journal of the American Society for Information Science and Technology
Similarities in fuzzy data mining: from a cognitive view to real-world applications
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Towards linguistic descriptions of phenomena
International Journal of Approximate Reasoning
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As we know that human intellectual activities are performed by the use of language; a human being thinks and reasons with language. In this paper, we propose a new simulation method which imitates human information processing based on the use of language. -An ordinary simulation method uses mathematical equations to estimate the future trends of a dynamic system, however, we propose a new simulation method which uses a model consists of natural language, which is called a linguistic model. A linguistic model does not have a fixed structure, but the structure of the model itself will be generated so that the model should become the most appropriate model to estimate the future behavior of a dynamic system. We regard that human intellectual activities such as thinking, reasoning, etc. are also texts realized by context as well as a linguistic text is done by context. We show a human linguistic reasoning model generation with an example of forecast of foreign exchange rate (FER) changes.