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A New Approach for Optimization of Real Life Transportation Problem in Neutrosophic Environment

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  • A. Thamaraiselvi
  • R. Santhi

Abstract

Neutrosophic sets have been introduced as a generalization of crisp sets, fuzzy sets, and intuitionistic fuzzy sets to represent uncertain, inconsistent, and incomplete information about a real world problem. For the first time, this paper attempts to introduce the mathematical representation of a transportation problem in neutrosophic environment. The necessity of the model is discussed. A new method for solving transportation problem with indeterminate and inconsistent information is proposed briefly. A real life example is given to illustrate the efficiency of the proposed method in neutrosophic approach.

Suggested Citation

  • A. Thamaraiselvi & R. Santhi, 2016. "A New Approach for Optimization of Real Life Transportation Problem in Neutrosophic Environment," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, March.
    • Handle: RePEc:hin:jnlmpe:5950747
    DOI: 10.1155/2016/5950747
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    Cited by:

    1. Vandana Goyal & Namrata Rani & Deepak Gupta, 2022. "FGP approach to quadratically constrained multi-objective quadratic fractional programming with parametric functions," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 594-602, June.

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