Advertisement

Abstract

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.

Keywords

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Zadeh, L.: Fuzzy Logic - Computing with Words. IEEE Transactions on Fuzzy Systems 4(2), 103–111 (1996)CrossRefMathSciNetGoogle Scholar
  2. 2.
    Nauck, D.: Beyond Neuro-Fuzzy: Perspective and Directions. In: 3rd European Congress on Intelligent Techniques and Soft Computing (EUFIT 1995), Aachen, pp. 1159–1164 (1995)Google Scholar
  3. 3.
    Sajja, P.S.: A Fuzzy Agent to Input Vague Parameters into Multi-Layer Connectionist Expert System: An Application for Stock Market. ADIT Journal of Engineering 3, 30–32 (2006)Google Scholar
  4. 4.
    Sajja, P.S.: Fuzzy Artificial Neural Network Decision Support System for Course Selection. Journal of Engineering and Technology 19, 99–102 (2006)Google Scholar
  5. 5.
    Abraham, A.: Neuro-Fuzzy Systems: State-of-the-Art Modeling Techniques. In: 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, pp. 269–276 (2001)Google Scholar
  6. 6.
    Narazaki, H., Ralescu, A.L.: A Synthesis Method for Multi-Layered Neural Network using Fuzzy Sets. In: IJCAI 1991: Workshop on Logic in Artificial Intelligence, Sydney, pp. 54–66 (1991)Google Scholar
  7. 7.
    Halgamuge, S.K., Glesner, M.: Neural Networks in Designing Fuzzy Systems for Real Word Applications. Fuzzy Sets and Systems 65, 1–12 (1994)CrossRefGoogle Scholar
  8. 8.
    Jang, J.S.: Neuro-Fuzzy Modeling: Architectures, Analyses and Applications, Ph.D Thesis, University of California, Berkeley (1992)Google Scholar
  9. 9.
    Nauck, D., Kruse, R.: NEFCLASS, A Neuro-Fuzzy Approach for the Classification of Data. In: ACM Symposium on Applied Computing, Nashville, pp. 461–465 (1995)Google Scholar
  10. 10.
    Tschichold-Gurman, N.: Generation and Improvement of Fuzzy Classifiers with Incremental Learning using Fuzzy Rulenet. In: ACM Symposium on Applied Computing, Nashville, pp. 466–470 (1995)Google Scholar
  11. 11.
    Rutkowski, L., Cpałka, K.: Flexible Neuro-Fuzzy Systems. IEEE Transactions on Neural Networks 14(1), 554–574 (2003)CrossRefGoogle Scholar
  12. 12.
    Sajja, P.S.: Type-2 Fuzzy user Interface for Artificial Neural Network-Based Decision Support System for Course Selection. International Journal of Computing and ICT Research 2(2), 96–102 (2008)Google Scholar
  13. 13.
    Jang, J.S.: ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Transactions on Systems, Man and Cybernetics 23(3), 665–685 (1993)CrossRefMathSciNetGoogle Scholar
  14. 14.
    Takagi, H.: Fusion Technology of Fuzzy Theory and Neural Networks: Survey and Future Directions. In: International Conference on Fuzzy Logic & Neural Networks, Iizuka, Japan, pp. 13–26 (1990)Google Scholar
  15. 15.
    Mitra, S., Hayashi, Y.: Neuro-Fuzzy Rule Generation: Survey in Soft Computing Framework. IEEE Transactions on Neural Networks 11(3), 748–768 (2000)CrossRefGoogle Scholar
  16. 16.
    Caponetti, L., Castiello, C., Górecki, P.: Document Page Segmentation using Neuro-Fuzzy Approach. Applied Soft Computing 8(1), 118–126 (2008)CrossRefGoogle Scholar
  17. 17.
    Cho, S., Quek, C., Seah, S., Chong, C.: HebbR2-Taffic: A Novel Application of Neuro-Fuzzy Network for Visual Based Traffic Monitoring System. Expert System Application 36(3), 6343–6356 (2009)CrossRefGoogle Scholar
  18. 18.
    Sajja, P.S.: Type-2 Fuzzy Interface for Artificial Neural Network. In: Anbumani, K., Nedunchezhian, R. (eds.) Soft Computing Applications in Database Technology: Techniques and Issues. IGI Global Book Publishing, Hershey (2010)Google Scholar
  19. 19.
    Jian, X.L., Hui, H.S.: Developing Soft Sensor using Hybrid Soft Computing Methodology: A Neuro-Fuzzy System Based on Rough Set Theory and Genetic Algorithms. Soft Computing 10(1), 54–60 (2006)CrossRefGoogle Scholar
  20. 20.
    Jun, L., Ding, L., Hua, Y., Sheng, W., Xia, H.: A New Strategy for Optimizing the Parameters Updating Algorithm of Fuzzy Neural Controller. Soft Computing - A Fusion of Foundations, Methodologies and Applications 10(1), 61–67 (2006)Google Scholar
  21. 21.
    Negnevitsky, M.: Artificial Intelligence: A Guide to Intelligent Systems. Pearson Education Limited, England (2002)Google Scholar
  22. 22.
  23. 23.
    Sajja, P.S.: Knowledge-Based Systems for Socio-Economic Rural Development. Ph.D Thesis, Sardar Patel University, India (2000)Google Scholar
  24. 24.
    Sajja, P.S.: Multi-Layer Connectionist Model of Expert System for an Advisory System. In: National Level Seminar - Tech. Symposia on IT Futura, Anand, India (2006)Google Scholar
  25. 25.
    Mankad, K.B., Sajja, P.S.: A Design of Encoding Strategy and Fitness Function for Genetic-Fuzzy System for Classification of Student Skills. In: International Conference on Signals, Systems and Automation (ICSSA 2009), Vallabh Vidyanagar, India (2009)Google Scholar
  26. 26.
    Dixon, B.: Prediction of Ground Water Vulnerability using an Integrated GIS-Based Neuro-Fuzzy Techniques. Journal of Spatial Hydrology 4(2), 1–38 (2004)Google Scholar

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

Personalised recommendations