350 rub
Journal Science Intensive Technologies №12 for 2014 г.
Article in number:
Synthesis collectives hybrid fuzzy evaluation model of the complex systems
Keywords:
decision rules
fuzzy logic
hybrid models
condition of complex systems
fuzzy classification
Authors:
N.A. Korenevskiy - Dr. Sc. (Eng.), Professor, Head of Department of Biomedical Engineering, Southwest State University (Kursk). E-mail: kstu-bmi@yandex.ru
K.V. Razumova - Post-graduate Student, Southwest State University (Kursk). E-mail: myelectronworld@mail.ru
Abstract:
Using the technology of soft computing is one of the possible ways to improve problem solving assessment of the status and control of complex systems.
«Soft methods» assessments of the state of complex systems are considered in the work. These methods are based on fuzzy logic decision-making theory confidence by E. Shortliffe, interactive systems, pattern recognition, group method of data, measurement theory of latent variables based on models of G. Rush and sequential serial procedure by Wald. Quality solutions this class of problems can be achieved in the aggregation of the methods listed in groups of fuzzy decision rules. A specific example of the synthesis groups of fuzzy rules is given in the article. This example is used in the solution of problems of prediction and early diagnosis of disease in humans, within range of environmental factors.
Pages: 31-39
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