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Title: Multiobjective fuzzy stochastic linear programming problems with inexact probability distribution

This study deals with multiobjective fuzzy stochastic linear programming problems with uncertainty probability distribution which are defined as fuzzy assertions by ambiguous experts. The problem formulation has been presented and the two solutions strategies are; the fuzzy transformation via ranking function and the stochastic transformation when α{sup –}. cut technique and linguistic hedges are used in the uncertainty probability distribution. The development of Sen’s method is employed to find a compromise solution, supported by illustrative numerical example.
Authors:
 [1] ;  [2]
  1. Optimization, Department of Mathematical Sciences, Faculty of Science, UTM (Malaysia)
  2. Department of Mathematical Sciences, Faculty of Science, UTM (Malaysia)
Publication Date:
OSTI Identifier:
22311368
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1602; Journal Issue: 1; Conference: 3. international conference on mathematical sciences, Kuala Lumpur (Malaysia), 17-19 Dec 2013; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; FUZZY LOGIC; LINEAR PROGRAMMING; MATHEMATICAL SOLUTIONS; PROBABILITY; STOCHASTIC PROCESSES; TRANSFORMATIONS