A reciprocated result using an approach of multiobjective stochastic linear programming models with partial uncertainty
type: Item
instance of: scholarly article
title: A reciprocated result using an approach of multiobjective stochastic linear programming models with partial uncertainty
zbMATH Open document ID: 1390.90495
DOI: 10.1504/IJMOR.2015.070200
author: Abdulqader Othman Hamadameen
author: Zaitul Marlizawati Zainuddin
published in: International Journal of Mathematics in Operational Research
publication date: 2018-06-13T00:00:00Z
review text: Summary: This study focuses on solving multiobjective stochastic linear programming (MSLP) problems with partial information on probability distribution. The method presented in this paper utilises the concept of ranking function and linguistic hedges in the fuzzy transformation stage to take into account the internal values of the probability distribution. An adaptive arithmetic average approach is then used to convert the multiobjective problems into a single objective problem. Comparison of results with existing methods in the literature is presented which shows that the method presented performs as good as the existing methods in terms of solution quality but better in terms of computational effort.
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C05
zbMATH DE Number: 6887251
zbMATH Keywords: multiobjective stochastic programming
zbMATH Keywords: stochastic transformation
zbMATH Keywords: linguistic hedges
zbMATH Keywords: adaptive arithmetic average
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 6887251