Artificial Neural Network (ANN) and Fuzzy Logic (FL) are two important and useful technologies having their strengths and weaknesses. The combination of fuzzy logic and neural networks constitutes a powerful means for intelligent system development and offers dual advantages of the technologies. This article describes four approaches of neuro-fuzzy systems with their broad design and also presents general structure of a business advisory system using hybrid neuro-fuzzy approach. The system utilizes ANN that considers basic parameters and data from the environment for selection of a small-scale business in the given area and generates rules accordingly. Finally, the article presents sample rules extracted from the neuro-fuzzy system, screens for the interface design and parameters for implementation.


Decision Support Rural Development Business Advisory System Implementation of Parameters Neuro-Fuzzy Systems Rule Extraction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rajendra Akerkar
    • 1
  • Priti Srinivas Sajja
    • 2
  1. 1.Senior Researcher, VestlandsforskingNorway
  2. 2.Associate Professor, Sardar Patel UniversityIndia

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