Acta Scientific Computer Sciences (ASCS)

Research Article Volume 2 Issue 2

A Study of a Back Order EOQ Model Using Uncertain Demand Rate

Suman Maity*

Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, India

*Corresponding Author: Suman Maity, Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, India.

Received: January 04, 2020; Published: January 29, 2020

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Abstract

  In this paper we study an inventory problem under intuitionistic fuzzy environment. Here we have studied the basic Economic order quantity (EOQ) model under intuitionistic dense fuzzy environment. In fuzzy set theory the concept of dense fuzzy set is quite new which is depending upon the number of negotiations/turnovers made by industrial developers. Moreover, we have discussed the preliminary concept on dense fuzzy sets with their corresponding membership functions and defuzzification methods. Then we have used the basic EOQ model into the proposed defuzzification method for optimization. A sensitive analysis, graphical illustration and conclusion are made for justification the new approach.

Keywords: Intuitionistic Fuzzy; Dense Fuzzy; Score Function; Optimization

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Citation

Citation: Suman Maity. “A Study of a Back Order EOQ Model Using Uncertain Demand Rate”. Acta Scientific Computer Sciences 2.2 (2020): 01-07.




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