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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 222))

Introduction

In this chapter we consider the shortest route problem where distances/costs are not known precisely and are modeled using fuzzy numbers. The fuzzy shortest route problem is outlined in the next section. We have previously used an evolutionary algorithm to solve an example problem (Section 6.5.1 of [2] and [3]). In Section 18.3 we plan to apply our fuzzy Monte Carlo method to obtain a solution to this example problem and then compare both solution methods.

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References

  1. Boulmakoul, A.: Generalized Path-Finding Algorithms on Semirings and the Fuzzy Shortest Path Problem. J. Computational and Applied Mathematics 162, 263–272 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  2. Buckley, J.J., Eslami, E., Feuring, T.: Fuzzy Mathematics in Economics and Engineering. Physica-Verlag, Heidelberg (2002)

    MATH  Google Scholar 

  3. Buckley, J.J., Feuring, T., Hayashi, Y.: Solving Fuzzy Problems: Operations Research. J. Advanced Computational Intelligence 3, 171–176 (1999)

    Google Scholar 

  4. Chuang, T.-N., Kung, J.-Y.: The Fuzzy Shortest Path Length and the Corresponding Shortest Path in a Network. Computers and Operations Research 32, 1409–1428 (2005)

    Article  MathSciNet  Google Scholar 

  5. Cornelis, C., DeKesel, P., Kerre, E.E.: Shortest Paths in Fuzzy Weighted Graphs. Int. J. Intelligent Systems 19, 1051–1068 (2004)

    Article  MATH  Google Scholar 

  6. Hernandes, F., Lamata, M.T., Verdegay, J.L., Yamakami, A.: The Shortest Path Problem on Networks with Fuzzy Parameters. Fuzzy Sets and Systems 158, 1561–1570 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  7. Itoh, T., Ishii, H.: A Model of Fuzzy Shortest Path by Possibility Measure. Japanese J. of Fuzzy Theory and Systems 8, 977–990 (1996)

    MathSciNet  Google Scholar 

  8. Ji, X., Iwamura, K., Shao, Z.: New Models for Shortest Path Problem with Fuzzy Arc Lengths. Applied Math. Modeling 31, 259–269 (2007)

    Article  Google Scholar 

  9. Lin, K.-C., Chern, M.-S.: The Fuzzy Shortest Path Problem and Its Most Vital Arcs. Fuzzy Sets and Systems 58, 343–353 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  10. Malik, D.S., Mordeson, J.N.: Fuzzy Discrete Structures. Springer, Heidelberg (2000)

    MATH  Google Scholar 

  11. Okada, S.: Fuzzy Shortest Path Problems Incorporating Interactivity Among Paths. Fuzzy Sets and Systems 142, 335–357 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  12. Okada, S., Soper, T.: A Shortest Path Problem on a Network with Fuzzy Arc Lengths. Fuzzy Sets and Systems 109, 129–140 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  13. Shih, H.-S., Lee, E.S.: Fuzzy Multi-Level Minimum Cost Flow Problem. Fuzzy Sets and Systems 107, 159–176 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  14. Yao, J.-S., Lin, F.-T.: Fuzzy Shortest-Path Network Problems with Uncertain Edge Weights. J. Information Science and Engineering 19, 329–351 (2003)

    MathSciNet  Google Scholar 

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Buckley, J.J., Jowers, L.J. (2007). Fuzzy Shortest Path Problem. In: Monte Carlo Methods in Fuzzy Optimization. Studies in Fuzziness and Soft Computing, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76290-4_18

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  • DOI: https://doi.org/10.1007/978-3-540-76290-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76289-8

  • Online ISBN: 978-3-540-76290-4

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