Skip to main content

From Leibniz’s Shinning Theorem to the Synthesis of Rules through Mamdani-Larsen Conditionals

  • Chapter
  • First Online:
Combining Experimentation and Theory

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 271))

Abstract

This paper deals with the problem of synthesizing by conjunction a finite set of rules \(\mu_{i} \longrightarrow(1\leq i \leq n)\) into a single one \(\mu_{1} . \mu{2}...\mu{n} \longrightarrow \sigma_{1} . \sigma{2}...\sigma{n}\), and depending on the conditional’s representation. It is proven that, among the usual five types of fuzzy conditionals, the problem is only solved by the Mamdani-Larsen’s type min-conditionals.

This paper is partially supported by the Foundation for the Advancement of Soft Computing (Asturias, Spain), and CICYT (Spain) under grant TIN2008-06890-C02-01.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Whitehead, A., Russell, B.: Principia Mathematica. Cambridge University Press (1912)

    Google Scholar 

  2. Sowa, J.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks Cole Publishing (2000)

    Google Scholar 

  3. Birkhoff, G.: Lattice Theory. American Mathematical Society Colloquium Publications (1967)

    Google Scholar 

  4. Beran, L.: Orthomodular Lattices. D. Reidel Pubs (1985)

    Google Scholar 

  5. Trillas, E., Renedo, E., Alsina, C.: On three laws typical of Booleanity. In: Proceedings NAFIPS 2004, vol. 2 (2004)

    Google Scholar 

  6. Trillas, E., Alsina, C., Pradera, A.: On a class of Fuzzy Set Theories. In: Proc. FUZZ-IEEE 2007, London, pp. 1–5 (2007)

    Google Scholar 

  7. Pradera, A., Trillas, E., Guadarrama, S., Renedo, E.: On fuzzy set theories. In: Wang, P., Ruan, D., Kerre, E. (eds.) Fuzzy Logic. A spectrum of Theoretical and Practical Issues. Studies in Fuzziness and Soft Computing, vol. 215, pp. 15–47. Springer, Heidelberg (2007)

    Google Scholar 

  8. Nguyen, H., Walker, E.: A First Course in Fuzzy Logic. Chapman & Hall/CRC (2000)

    Google Scholar 

  9. Cordón, O., Herrera, F., Peregr´ın, A.: Applicability of the fuzzy operators in the design of fuzzy logic controllers. Fuzzy Sets and Systems 86(1), 15–41 (1997)

    Article  MATH  Google Scholar 

  10. Trillas, E., Mas, M., Monserrat, M., Torrens, J.: On the representation of fuzzy rules. International Journal of Approximate Reasoning 48(2), 583–597 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  11. Campo, C., Trillas, E.: On Mamdani-Larsen’s type fuzzy implications. In: Proc. Int. Conf. on Information Processing and Management of Uncertainty in Knowlegge-based Systems, IPMU 2000, Madrid, vol. 2, pp. 712–716 (July 2000)

    Google Scholar 

  12. Alsina, C., Frank, M.J., Schweizer, B.: Associative Functions. Triangular Norms and Copulas. World Scientific, Singapore (2006)

    Book  MATH  Google Scholar 

  13. Moraga, C., Trillas, E., Guadarrama, S.: Multiple-valued logic and artificial intelligence: Fundamentals of fuzzy control revisited. Artif. Intell. Rev. 20(3-4), 169–197 (2003)

    Article  MATH  Google Scholar 

  14. Türksen, I., Kreinovich, V., Yager, R.: A new class of fuzzy implications. Axioms of fuzzy implication revisited. Fuzzy Sets and Systems 100(1-3), 267–272 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  15. Trillas, E., Alsina, C., Pradera, A.: On mpt-implication functions for fuzzy logic. Rev. R. Acad. Cien. Serie A. Mat. 98(1), 259–271 (2004)

    MATH  MathSciNet  Google Scholar 

  16. Trillas, E., Alsina, C.: On the law [p ∧ q → r] = [(p → r) ∨ (q → r)]. IEEE Transactions on Fuzzy Systems 10(1), 84–88 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Enric Trillas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Trillas, E., Alsina, C. (2012). From Leibniz’s Shinning Theorem to the Synthesis of Rules through Mamdani-Larsen Conditionals. In: Trillas, E., Bonissone, P., Magdalena, L., Kacprzyk, J. (eds) Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24666-1_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24666-1_18

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24665-4

  • Online ISBN: 978-3-642-24666-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics