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Fuzzy Optimal Solution of Fully Fuzzy Project Crashing Problems with New Representation of LR Flat Fuzzy Numbers

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Book cover Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

In this paper, a new method, named as Mehar’s method, is proposed for solving fully fuzzy project crashing problems and a new representation of LR flat fuzzy numbers, named as JMD representation of LR flat fuzzy numbers, are introduced. Also, it is shown that it is better to use JMD representation of LR flat fuzzy numbers as compared to the existing representation of LR flat fuzzy numbers.

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References

  1. Chen, S.P., Hsueh, Y.J.: A simple approach to fuzzy critical path analysis in project networks. Applied Mathematical Modelling 32, 1289–1297 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  2. Guang, J.C., Shang, J.Z., Yan, L., Min, Z.Y., Dong, H.Z.: Research on the fully fuzzy time-cost trade-off based on genetic algorithms. Journal of Marine Science and Application 4, 18–23 (2005)

    Article  Google Scholar 

  3. Kumar, A., Kaur, P.: A New Method for Fuzzy Critical Path Analysis in Project Networks with a New Representation of Triangular Fuzzy Numbers. Applications and Applied Mathematics: An International Journal 5, 1442–1466 (2010)

    MathSciNet  MATH  Google Scholar 

  4. Lin, F.T.: Fuzzy crashing problem on project management based on confidence-interval estimates. In: Eighth International Conference on Intelligent Systems Design and Applications, vol. 2, pp. 164–169 (2008)

    Google Scholar 

  5. Liu, S.T.: Fuzzy activity times in critical path and project crashing problems. Cybernetics and Systems 34, 161–172 (2003); 73, 227–234 (1995)

    Article  MATH  Google Scholar 

  6. Winston, W.L.: Operations Research: Applications and Algorithms, Singapore (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Mathematics and Computer Applications, Thapar University, Patiala, 147 004, India

    Amit Kumar, Parmpreet Kaur & Jagdeep Kaur

Authors
  1. Amit Kumar
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  2. Parmpreet Kaur
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  3. Jagdeep Kaur
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Editor information

Editors and Affiliations

  1. State University Higher School of Economics, Pokrovskiy Bd. 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  2. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

  3. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Daryl H. Hepting

  4. Birbeck University of London, Malet Street, WC1E 7HX, London, UK

    Boris G. Mirkin

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© 2011 Springer-Verlag Berlin Heidelberg

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Kumar, A., Kaur, P., Kaur, J. (2011). Fuzzy Optimal Solution of Fully Fuzzy Project Crashing Problems with New Representation of LR Flat Fuzzy Numbers. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_28

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  • DOI: https://doi.org/10.1007/978-3-642-21881-1_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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