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Bideterminant and Generalized Kronecker-Capelli Theorem for Fuzzy Relation Equations

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 291))

Abstract

The aim of this contribution is to elaborate generalized notions of determinant and rank (of a matrix) and to show that the theory of fuzzy relation equations can be investigated with the help of them. We recall the notion of bideterminant of a matrix and investigate its properties in a semilinear space. We introduce three different notions of a rank of a matrix and compare them. Finally, we investigate solvability of a system of fuzzy relation equations in terms of discriminant ranks of its matrices (generalized Kronecker-Capelli theorem).

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References

  1. Beasley, L.B., Pullman, N.J.: Semiring Rank vs. Column Rank. Linear Algebra Appl. 101, 33–48 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  2. Cuninghame-Green, R.A., Butkovic, P.: Bases in max-algebra. Linear Algebra and its Applications 389, 107–120 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  3. De Baets, B.: Analytical solution methods for fuzzy relation equations. In: Dubois, D., Prade, H. (eds.) The Handbooks of Fuzzy Sets Series, vol. 1, pp. 291–340. Kluwer, Dordrecht (2000)

    Google Scholar 

  4. Di Nola, A., Lettieri, A., Perfilieva, I., Novák, V.: Algebraic analysis of fuzzy systems. Fuzzy Sets and Systems 158, 1–22 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Di Nola, A., Sessa, S., Pedrycz, W., Sanchez, E.: Fuzzy Relation Equations and Their Applications to Knowledge Engineering. Kluwer, Boston (1989)

    MATH  Google Scholar 

  6. Golan, J.S.: Semirings and their Applications. Kluwer Academic Pulishers, Dordrecht (1999)

    MATH  Google Scholar 

  7. Gondran, M., Minoux, M.: Graphs, Dioids and Semirings. Springer, New York (2008)

    MATH  Google Scholar 

  8. Gottwald, S.: On the existence of solutions of systems of fuzzy equations. Fuzzy Sets and Systems 12, 301–302 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  9. Klawonn, F.: Fuzzy Points, Fuzzy Relations and Fuzzy Functions. In: Novák, V., Perfilieva, I. (eds.) Discovering the World with Fuzzy Logic, pp. 431–453. Springer, Berlin (2000)

    Google Scholar 

  10. Kuntzman, J.: Théorie des réseaux graphes, Dunod (Libraire), Paris (1972)

    Google Scholar 

  11. Minoux, M.: Bideterminants, arborescences and extension of the matrix- tree theorem to semirings. Discrete Math. 171, 191–200 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  12. Pedrycz, W.: Inverse problem in fuzzy relational equations. Fuzzy Sets and Systems 36, 277–291 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  13. Perfilieva, I.: Semilinear spaces – basic structures for fuzzy systems. In: Proc. Conf. IPMU 2006, Paris, France, pp. 1087–1094 (2006)

    Google Scholar 

  14. Perfilieva, I., Gottwald, S.: Solvability and approximate solvability of fuzzy relation equations. Int. J. of General Systems 32, 361–372 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  15. Perfilieva, I., Kupka, J.: Can fuzzy relation equations be treated like linear equations? In: Proc. World Conference on Soft Computing, pp. 179–185. San Francisco State University, San Francisco (2011)

    Google Scholar 

  16. Perfilieva, I., Nosková, L.: System of fuzzy relation equations with \(\inf\rightarrow\) composition: complete set of solutions. Fuzzy Sets and Systems 159, 2256–2271 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  17. Perfilieva, I., Tonis, A.: Compatibility of systems of fuzzy relation equations. Int. J. of General Systems 29, 511–528 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  18. Sanchez, E.: Resolution of composite fuzzy relation equations. Information and Control 30, 38–48 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  19. Sessa, S.: Finite fuzzy relation equations with unique solution in complete Brouwerian lattices. Fuzzy Sets and Systems 29, 103–113 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  20. Wang, X.-P.: Infinite fuzzy relational equations on a complete Brouwerian lattice. Fuzzy Sets and Systems 138, 657–666 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  21. Wang, X.-P., Xiong, Q.-Q.: Some properties of sup-min fuzzy relational equations on infinite domains. Fuzzy Sets and Systems 151, 393–402 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  22. Zhao, S., Wang, X.-P.: Invertible matrices and semilinear spaces over commutative semirings. Information Sciences 180, 5115–5124 (2010)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Irina Perfilieva .

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Perfilieva, I., Kupka, J. (2013). Bideterminant and Generalized Kronecker-Capelli Theorem for Fuzzy Relation Equations. In: Yager, R., Abbasov, A., Reformat, M., Shahbazova, S. (eds) Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34922-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-34922-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34921-8

  • Online ISBN: 978-3-642-34922-5

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