An Application of Soft Set and Fuzzy Soft Set Theories to Stock Management

Nihal YILMAZ ÖZGÜR,Nihal TAŞ,Pelin DEMİR

doi:10.19113/sdufbed.82887

Abstract

We give a new application of both notions of a soft set and of a fuzzy soft set to the effective management of stock-out situation. We construct a model to track the remaining raw materials in stock at the end of the first week (or first month) by using soft sets theory. Then we introduce an algorithm for factors influencing stock management using the notion of a fuzzy soft set. If we use these soft set and fuzzy soft set models at the same time, we can more accurately track the stock-out situations of raw materials.

Highlights

Introduction and BackgroundRecently, soft set theory was introduced as a generalization of mathematical tools by Molodtsov [10] as follows: Definition 1.1. [10] Let X be a universal set, P(X) be the power set of X and E be the set of all parameters
Soft set theory was introduced as a generalization of mathematical tools by Molodtsov [10] as follows: Definition 1.1
Compute the fuzzy soft sets for our company using the relation R given in Definition 1.9 among the membership values related to parameters

Summary

Introduction and Background

Soft set theory was introduced as a generalization of mathematical tools by Molodtsov [10] as follows: Definition 1.1. [10] Let X be a universal set, P(X) be the power set of X and E be the set of all parameters. An excel program is constructed by the notion of a soft set in order to control the stock-out situations in a company. This program shows raw materials which is out of stock for giving order. By the boundary of raw materials, the information of the stock-out situations follows : According to the amount of remaining raw materials at the end of first week;. We can seen the stock-out situations of raw materials in single line by means of the soft sets (Fi, E). Compute the fuzzy soft sets for our company using the relation R given in Definition 1.9 among the membership values related to parameters. We can control the stock-out situations of raw materials using these soft sets

The Effective Stock Management via Fuzzy Soft Sets

Conclusion