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Fuzzy Programming Approach to Solve Multi-objective Transportation Problem

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Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

Abstract

Present paper deals with a multi-objective transportation problem. This problem has equality type constraints and some non-commensurable and conflicting objectives. The above objectives are fuzzy in nature. The problem has been solved by three methods using fuzzy programming approach. A numerical example is also given to compare the results obtained by different methods.

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Authors and Affiliations

  1. Department of Mathematics, C.C.S.University, Meerut, 250004, India

    Sandeep Kumar & Diwakar Pandey

Authors
  1. Sandeep Kumar
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  2. Diwakar Pandey
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Corresponding author

Correspondence to Sandeep Kumar .

Editor information

Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

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© 2012 Springer India Pvt. Ltd.

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Kumar, S., Pandey, D. (2012). Fuzzy Programming Approach to Solve Multi-objective Transportation Problem. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_51

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_51

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

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