作者: Dipti Dubey , Aparna Mehra
DOI: 10.3233/IFS-151778
关键词: Optimization problem 、 Solution concept 、 Linear programming 、 Representation (mathematics) 、 Fuzzy set 、 Set (abstract data type) 、 Mathematical optimization 、 Constraint (information theory) 、 Interval (mathematics) 、 Mathematics
摘要: The aim of this paper is twofold. Firstly, to define a solution concept Pareto-optimality for multi-objective flexible linear programming (MOFLP) problem (or fuzzy problem) and design method extract Pareto-optimal MOFLP from the set optimal solutions equivalent optimization formulated by Dubey Mehra (2013). Secondly, extend study involving hard constraints with interval uncertainty. A constraint uncertainty generalizes allowing preferences be expressed in form intervals. An optimistic-pessimistic approach proposed solve multi- objective (MOFLPIU) using an interval-valued representation Hurwicz optimism-pessimism criterion.