Fuzzy-neuro system for decision-making in management

Authors

  • G. Setlak

Abstract

This paper introduces a systematic approach for intelligent decision support system design based on a class of neural fuzzy networks built upon a general neuron model. The neural fuzzy networks can formally represent and process both the qualitative (linguistic) and quantitative information, which usually describe a complex, multidimensional systems or decision making processes. Presented the results of tests and a practical implementation of applications of fuzzy-neuro system for decision-making in strategic management and determination of product development strategy.

Author Biography

G. Setlak

Setlak G.

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Section

Decision making and control in economic, technical, ecological and social systems