IJBTT

Optimization of fuzzy inventory model using Kuhn tucker technique by decagonal fuzzy numbers
	© 2021 by IJCTT Journal
	Volume-69 Issue-4
	Year of Publication : 2021
	Authors : J. Arockia Theo, I. Shiny Bridgette, S. Rexlin Jeyakumari
	DOI :  10.14445/22312803/IJCTT-V69I4P113

How to Cite?

J. Arockia Theo, I. Shiny Bridgette, S. Rexlin Jeyakumari, "Optimization of fuzzy inventory model using Kuhn tucker technique by decagonal fuzzy numbers," International Journal of Computer Trends and Technology, vol. 69, no. 4, pp. 74-82, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I4P113

Abstract
The fuzzy transportation problem is considered in this paper, where the values of transportation costs are expressed as Decagonal fuzzy numbers. It has a variety of options for transporting the goods. The aim of this research is to find the best defuzzification method for determining the lowest transportation cost.

Keywords
fuzzy inventory, fuzzy numbers

Reference

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