An interpolating by pass to Pareto optimality in intuitionistic fuzzy technique for a EOQ model with time sensitive backlogging

作者：De Sujit Kumar; Goswami Adrijit; Sana Shib Sankar^*

来源：Applied Mathematics and Computation, 2014, 230: 664-674.

DOI：10.1016/j.amc.2013.12.137

• Backorder inventory
• Interval number
• Fuzzy sets
• Intuitionistic fuzzy technique
• Pareto optimal solution
• Lagrange's interpolation

This article fuzzyfies EOQ crisp model with backlogged while demand of the customers varies with selling price and promotional effort. The demand rate in stock out situation decreases with duration of the shortage period and it comes back to its initial rate since promotional effort continues. The cost function consists of set up cost, inventory cost, shortage cost and cost for promotional effort. The coefficient vectors of the concerned minimization cost function are considered as fuzzy numbers which are transformed into interval numbers. Then, the interval objective function has been transformed into a classical multi-objective EOQ model using intuitionistic fuzzy technique. A comparative study on Pareto optimality and optimality under Lagrange's interpolating polynomial function has been made illustrating numerical example.

• 出版日期2014-3-1