A New Adaptive Universal Fuzzy Inference System with Application

Yuan Yuan Chai, Jun Chen, Wei Luo, Li Min Jia

2014

Abstract

Through comprehensive study on existing fuzzy inference systems, this paper presents a Choquet integral-OWA operator based fuzzy inference system (AggFIS) in order to solve the traditional FIS disadvantages and its adaptive model which is named Choquet integral-OWA operator based adaptive universal fuzzy inference system (Agg-AUFIS). By considering the universal fuzzy inference operators and importance factor during reasoning process, Agg-AUFIS tries to express the essence of fuzzy logic and simulate human thinking pattern sufficiently, which could provide a new methodology for fuzzy modeling in future.

References

  1. Esragh, F., Mamdani, E. H., 1981. A general approach to linguistic approximation. Fuzzy Reasoning and Its Applications, Academic Press. London.
  2. Furuhashi, T., 2001. Fusion of fuzzy/neuro/evolutionary computing for knowledge acquisition. Proceedings of IEEE, 89(9), 1266-1274.
  3. Grabisch, M., 2000. A Graphical Interpretation of the Choquet Integral. IEEE transactions on Fuzzy Systems, 8(5), 627-631.
  4. Kelman, A., Yager, R. R., 1995. On the Application of a Class of MICA Operators. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 3,113-125.
  5. Mamdani, E. H., 1977. Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis. IEEE transactions on computer, 26(12), 1182-1191.
  6. Pedrycz, W., Lam, P., Rocha, A. F., 1995. Distributed fuzzy system modeling. IEEE transactions on fuzzy systems, man, and cybernetics, 25(5), 769-780.
  7. Pedrycz, W., Oliveira, J., 1996. Optimization of fuzzy models. IEEE transactions on fuzzy systems, man, and cybernetics -PART B: cybernetics, 26(4), 627-636.
  8. Rumelhart, D. E., Hinton, G. E., Williams, R. J., 1986. Learning internal representations by error propagation. Parallel distributed processing: explorations in the microstructure of cognition, MIT Press. Cambridge.
  9. Rumelhart, D. E., 1994. The Basic Ideas in Neural Networks. Communications of the ACM, 37(3), 87-92.
  10. Yager, R. R., 1988. On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking. IEEE transactions on fuzzy systems, man, and cybernetics, 18(1),183-190.
  11. Yager, R. R., Filev, D. P., 1992. SLIDE:A simple adaptive defuzzification method. IEEE transactions on Fuzzy Systems, 1(1), 69-78.
  12. Yager, R. R., 1993a. On a Hierarchical Structure for Fuzzy Modeling and Control. IEEE transactions on fuzzy systems, man, and cybernetics, 23(4), 1189-1197.
  13. Yager, R. R., 1993b. Families of OWA operators. Fuzzy Sets and Systems, 59, 125-148.
  14. Yager, R. R., 1996. On Mean Type Aggregation. IEEE transactions on fuzzy systems, man, and cybernetics - PART B: cybernetics, 26(2), 209-221.
  15. Zadeh, L. A., 1965. Fuzzy Set. Information and Control, 8, 338-353.
  16. Zadeh, L. A., 1973. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man, and Cybernetics, 3(1), 28-44.
  17. Zadeh, L. A., 1988. Fuzzy Logic. Computer, 21(4), 83-93.
  18. Zadeh, L. A., 1994. Soft Computing and Fuzzy Logic. IEEE Software, 11(6), 48-56.
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Paper Citation


in Harvard Style

Chai Y., Chen J., Luo W. and Jia L. (2014). A New Adaptive Universal Fuzzy Inference System with Application . In Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014) ISBN 978-989-758-053-6, pages 163-168. DOI: 10.5220/0005130501630168


in Bibtex Style

@conference{fcta14,
author={Yuan Yuan Chai and Jun Chen and Wei Luo and Li Min Jia},
title={A New Adaptive Universal Fuzzy Inference System with Application},
booktitle={Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)},
year={2014},
pages={163-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005130501630168},
isbn={978-989-758-053-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)
TI - A New Adaptive Universal Fuzzy Inference System with Application
SN - 978-989-758-053-6
AU - Chai Y.
AU - Chen J.
AU - Luo W.
AU - Jia L.
PY - 2014
SP - 163
EP - 168
DO - 10.5220/0005130501630168