Online ISSN: 2515-8260

Keywords : Defuzzification


COMPARISON BETWEEN KUHN – TUCKER AND LAGRANGEAN METHODS ON FUZZY INVENTORY MODEL

Shiny Bridgette. I; Dr. RexlinJeyakumari S

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 2, Pages 1123-1129

In this paper deals with an production inventory model without shortages in a fuzzy environment with fuzzy constraints for crisp production quantity or for fuzzy production quantity are rooted in fuzzy inventory management . We have applied graded mean method for defuzzifying the fuzzy general production inventory cost in trapezoidal fuzzy numbers. The aim of our work is to find optimal solution of these models by using Lagrangean method and Kuhn-tucker method finally a numerical example explained to show the uniqueness obtained in both crisp and fuzzy inventory model.

OPTIMIZATION OF FUZZY INVENTORY MODEL WITHOUT SHORTAGES

S. Rexlin Jeyakumari; I.Shiny Bridgette; M.Mary Jansirani; A. Alphonse Anitha

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 3116-3124

The goal of this undertaking is to discover the enhancement of EOQ model under uncertainty with no reasonable deficiencies for Pentagonal Fuzzy Numbers . Here the parameters like purchasing cost, storing cost and yearly interest are thought to be Pentagonal Fuzzy Numbers . The PFN can be defuzzify by utilizing the Graded Mean Integration Representation technique to get the advancement in the least difficult manner. The fuzzy optimal solution of the stock model is arrived by utilizing the expansion of Lagrangean strategy . To make this strategy progressively reasonable, numerical instances of both PFN is shown by utilizing the fuzzy values.