Thakre, P.A., Shelar, D.S. and Thakre, S.P. (2009) Solving Fuzzy Linear Programming Problem as MOLPP. World Congress on Engineering, London, 1-3 July 2009, 978-988.

has been cited by the following article:

• TITLE: Solving Fuzzy Multi-Objective Linear Programming Problem by Applying Statistical Method

  AUTHORS: Samsun Nahar, Marin Akter, Md. Abdul Alim

  KEYWORDS: Fuzzy Multi-Objective Linear Programming Problem, Fuzzy Linear Programming Problem, Chandra Sen’s Method, Statistical Averaging Method, New Statistical Averaging Method

  JOURNAL NAME: American Journal of Operations Research, Vol.12 No.6, November 30, 2022

  ABSTRACT: In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have been applied to form a single objective function from the fuzzy multi-objective linear programming problems. At first, a numerical example of solving fuzzy multi-objective linear programming problem has been provided to validate the maximum risk reduction by the proposed method. The proposed method has been applied to assess the risk of damage due to natural calamities like flood, cyclone, sidor, and storms at the coastal areas in Bangladesh. The proposed method of solving the fuzzy multi-objective linear programming problems by the statistical method has been compared with the Chandra Sen’s method. The numerical results show that the proposed method maximizes the risk reduction capacity better than Chandra Sen’s method.