Abstract
Karnik–Mendel (KM) algorithms are important tools for type-2 fuzzy logic. This survey chapter summarizes some extensions of continuous Karnik–Mendel algorithms. It is shown that the solution of KM algorithms can be transformed into the solution of root-finding problems, and that the iteration formula in KM algorithms is equivalent to the Newton-Raphson root-finding method in numerical analysis. New iteration formulas are summarized that accelerate the convergence speed and it is shown that numerical integration methods can be used to improve computation accuracy. This chapter demonstrates that properties and structures of KM algorithms can be understood and improved with the techniques from numerical analysis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
As noted in [25, p. 363], if Gaussian MFs are used, one can extend the theoretical results to \(a\rightarrow -\infty \), \(b\rightarrow +\infty \); but, in practice, when truncations are used, \(a\) and \(b\) are again finite numbers.
References
Aisbett, J., Rickard, J.T., Morgenthaler, D.G.: Type-2 fuzzy sets as functions on spaces. IEEE Trans. Fuzzy Syst. 18(4), 841–844 (2010). doi:10.1109/TFUZZ.2010.2046176
Castillo, O., Melin, P.: Type-2 Fuzzy Logic Theory and Applications. Springer, Berlin (2008)
Hagras, H.: Type-2 FLCs: a new generation of fuzzy controllers. IEEE Comput. Intell. Mag. 2(1), 30–43 (2007)
Hu, H.Z., Gao, M.J., Zhang, H.: A new algorithm for computing the fuzzy weighted average. IEICE Electron. Express 7(19), 1423–1428 (2010). doi:10.1587/elex.7.1423
John, R.I., Coupland, S.: Type-2 fuzzy logic: a historical view. IEEE Comput. Intell. Mag. 2(1), 57–62 (2007)
Karnik, N.N., Mendel, J.M.: Centroid of a type-2 fuzzy set. Inf. Sci. 132(1–4), 195–220 (2001)
Lee, C.S., Wang, M.H., Hagras, H.: A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation. IEEE Trans. Fuzzy Syst. 18(2), 374–395 (2010). doi:10.1109/TFUZZ.2010.2042454
Liu, F.: An efficient centroid type-reduction strategy for general type-2 fuzzy logic system. Inf. Sci. 178(9), 2224–2236 (2008)
Liu, F., Mendel, J.M.: Aggregation using the fuzzy weighted average as computed by the Karnik-Mendel algorithms. IEEE Trans. Fuzzy Syst. 16(1), 1–12 (2008)
Liu, X., Mendel, J.M.: Connect Karnik-Mendel algorithms to root-finding for computing the centroid of an interval type-2 fuzzy set. IEEE Trans. Fuzzy Syst. 19(4), 652–665 (2011)
Liu, X., Mendel, J.M., Wu, D.: Study on enhanced Karnik-Mendel algorithms: initialization explanations and computation improvements. Inf. Sci. 184(1), 75–91 (2012)
Mathews, J.H., Fink, K.K.: Numerical Methods Using Matlab. Prentice-Hall Inc, Upper Saddle River, NJ (2004)
Mendel, J.M.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall Inc, Upper Saddle River, NJ (2001)
Mendel, J.M.: Advances in type-2 fuzzy sets and systems. Inf. Sci. 177(1), 84–110 (2007)
Mendel, J.M.: Type-2 fuzzy sets and systems: an overview. IEEE Comput. Intell. Mag. 2(1), 20–29 (2007)
Mendel, J.M.: On answering the question ‘where do I start in order to solve a new problem involving interval type-2 fuzzy sets?’. Inf. Sci. 179(19), 3418–3431 (2009)
Mendel, J.M.: On centroid calculations for type-2 fuzzy sets. Appl. Comput. Math. 10(1), 88–96 (2011)
Mendel, J.M., Hagras, H., John, R.I.: Standard background material about interval type-2 fuzzy logic systems that can be used by all authors (2006). http://ieee-cis.org/_files/standards.t2.win.pdf
Mendel, J.M., John, R.I.: Type-2 fuzzy sets made simple. IEEE Trans. Fuzzy Syst. 10(2), 117–127 (2002)
Mendel, J.M., Liu, F.: Super-exponential convergence of the Karnik-Mendel algorithms for computing the centroid of an interval type-2 fuzzy set. IEEE Trans. Fuzzy Syst. 15(2), 309–320 (2007)
Mendel, J.M., Liu, F., Zhai, D.: \(\alpha \)-plane representation for type-2 fuzzy sets: theory and applications. IEEE Trans. Fuzzy Syst. 17(5), 1189–1207 (2009)
Mendel, J.M., Wu, D.: Perceptual reasoning for perceptual computing. IEEE Trans. Fuzzy Syst. 16(6), 1550–1564 (2008)
Mendel, J.M., Wu, D.: Perceptual Computing: Aiding People in Making Subjective Judgments. Wiley-IEEE Press, Hoboken, NJ (2010)
Mendel, J.M., Wu, H.: Type-2 fuzzistics for symmetric interval type-2 fuzzy sets: part 1, forward problems. IEEE Trans. Fuzzy Syst. 14(6), 781–792 (2006)
Mendel, J.M., Wu, H.: New results about the centroid of an interval type-2 fuzzy set, including the centroid of a fuzzy granule. Inf. Sci. 177(2), 360–377 (2007)
Wagner, C., Hagras, H.: Toward general type-2 fuzzy logic systems based on zslices. IEEE Trans. Fuzzy Syst. 18(4), 637–660 (2010)
Wu, D., Mendel, J.M.: Aggregation using the linguistic weighted average and interval type-2 fuzzy sets. IEEE Trans. Fuzzy Syst. 15(6), 1145–1161 (2007)
Wu, D., Mendel, J.M.: Uncertainty measures for interval type-2 fuzzy sets. Inf. Sci. 177(23), 5378–5393 (2007)
Wu, D., Mendel, J.M.: Enhanced Karnik-Mendel algorithms. IEEE Trans. Fuzzy Syst. 17(4), 923–934 (2009)
Wu, D., Mendel, J.M.: Perceptual reasoning for perceptual computing: a similarity-based approach. IEEE Trans. Fuzzy Syst. 17(6), 1397–1411 (2009)
Wu, D., Mendel, J.M.: Computing with words for hierarchical decision making applied to evaluating a weapon system. IEEE Trans. Fuzzy Syst. 18(3), 441–460 (2010). doi:10.1109/TFUZZ.2010.2043439
Wu, H., Mendel, J.M.: Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems. IEEE Trans. Fuzzy Syst. 10(5), 622–639 (2002)
Yeh, C.Y., Jeng, W.H.R., Lee, S.J.: An enhanced type-reduction algorithm for type-2 fuzzy sets. IEEE Trans. Fuzzy Syst. 19(2), 227–240 (2011)
Zhai, D.Y., Mendel, J.M.: Computing the centroid of a general type-2 fuzzy set by means of the centroid-flow algorithm. IEEE Trans. Fuzzy Syst. 19(3), 401–422 (2011)
Acknowledgments
This work has been supported by the Natural Science Foundation of China Project under Grant Nos. 70771025 and 701171048. Part of the work in this chapter was done jointly with Professor Jerry M. Mendel and Dr. Dongrui Wu in [10, 11]. I would like to thank Professor Jerry M. Mendel and anonymous reviewers for their valuable comments and suggestions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Liu, X. (2013). A Survey of Continuous Karnik–Mendel Algorithms and Their Generalizations. In: Sadeghian, A., Mendel, J., Tahayori, H. (eds) Advances in Type-2 Fuzzy Sets and Systems. Studies in Fuzziness and Soft Computing, vol 301. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6666-6_2
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6666-6_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6665-9
Online ISBN: 978-1-4614-6666-6
eBook Packages: EngineeringEngineering (R0)