Skip to main content

Fusion of Fuzzy System and Conventional Technique to Evaluate Weather and Terrain Effects on the Vehicle Operations

  • Conference paper
Hybrid Information Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 14))

  • 211 Accesses

Abstract

This research paper presents the implementation of fuzzy logic system tools with the combination of conventional technique in evaluating the best course of action for directing military vehicles from one designated area to the final destination in quickest way. The difficulty levels between the road network nodes are weather and terrain factors, which are presented on the GIS maps. The accurate performance of the combined technique in decision making will depend on the expert’s knowledge and information supplied at the time of evaluating. The GIS model, fuzzy logic system, parameters considered for weather and terrain condition, vehicle selection, and conventional methodology will be discussed. The area between start and finish will be assumed in the 25 square Kms map area

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Jain, L.C. (Editor), Soft Computing Techniques in Knowledge-based Intelligent Engineering Systems, Springer-Verlag, Germany, 1997

    MATH  Google Scholar 

  2. Jain, L.C. and De Wilde, P. (Editors), Practical Applications of Computational Intelligence Techniques, Kluwer Academic Publishers, USA, 2001

    Google Scholar 

  3. Jain, L.C. and Martin, N.M. (Editors), Fusion of Neural Networks, Fuzzy Logic and Evolutionary Computing and their Applications, USA, 2001

    Google Scholar 

  4. Lazzerini, B., D. Dumitrescu, Jain, L.C., and Dumitrescu, A. (Editors), Fusion of Neural Networks, Fuzzy Logic and Evolutionary Computing and their Applications, CRC Press USA, 2001

    Google Scholar 

  5. Jain, L.C., Johnson, R. P., Takefuji, Y., and Zadeh, L.A. (Editors), Knowledge-Based Intelligent Techniques in Industry, CRC Press USA, 1998

    Google Scholar 

  6. Owen, H., “Creating Modified Combined Obstacle Overlays Using GIS”, Thesis Report, University of Adelaide, February 2000

    Google Scholar 

  7. Floyd, R. W., “Algorithm 97, Shortest path”, Comm ACM, Vol. 5, pp. 345, 1962

    Article  Google Scholar 

  8. Floyd’s Algorithm — Shortest Paths http://www.cs.panam.edu/meng/Course/CS6356/Notes/master/nodes8.html

  9. Dijkstra, E.W.“A note on two problems in connection with graphs”, Nu-mer. Math. 1, pp. 269–271, 1959

    Article  MathSciNet  MATH  Google Scholar 

  10. Outline of Class 50: Dijkstra’s Shortest Path Algorithm http://www.math.grin.edu/rebelsky/Courses/CS152/98S/Outlines/outlin

  11. Floyd-Warshall All-Pairs-Shortest-Path Algorithm http://www.Brunel.ac.uk/castjjg/java/shortest path/shortestpath.html

  12. Fuzzy Logic Toolbox, Matlab, Maths Works, Release-12, 1999

    Google Scholar 

  13. Mapinfo Professional GIS software, Mapinfo Corporation, Troy, New York, Aug. 1998

    Google Scholar 

  14. Seymour, L. “Theory and Problems of Data Structures”, Schaum’s Outline Series, Chapter 8, pp. 282–286, 1986

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pradhan, A., Jain, L.C., Filippidis, A., Leisch, F. (2002). Fusion of Fuzzy System and Conventional Technique to Evaluate Weather and Terrain Effects on the Vehicle Operations. In: Abraham, A., Köppen, M. (eds) Hybrid Information Systems. Advances in Soft Computing, vol 14. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1782-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1782-9_15

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1480-4

  • Online ISBN: 978-3-7908-1782-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics