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Fuzzy Transportation Problem with Generalized Triangular-Trapezoidal Fuzzy Number

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 583))

Abstract

The shortcoming of an existing method for comparing the proposed new method for generalized triangular-trapezoidal fuzzy numbers (TTFN) are pointed out in this paper. Here the proposed ranking method is used for solving unbalanced fuzzy transportation problem (UFTP). A comparison is set between the optimal fuzzy and crisp solutions by using Vogel’s approximation method (VAM) and improved zero suffix method (IZSM) after balancing by existing and proposed minima row–column method (MRCM). The effectiveness of proposed method is illustrated by a numerical example and setting a comparison among optimal solutions.

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Correspondence to Rajesh Kumar Saini .

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Saini, R.K., Sangal, A., Prakash, O. (2018). Fuzzy Transportation Problem with Generalized Triangular-Trapezoidal Fuzzy Number. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583. Springer, Singapore. https://doi.org/10.1007/978-981-10-5687-1_64

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  • DOI: https://doi.org/10.1007/978-981-10-5687-1_64

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  • Online ISBN: 978-981-10-5687-1

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