Obtaining Efficient Solutions of Interval Multi-objective Linear Programming Problems

In this paper, we consider interval multi-objective linear programming (IMOLP) models which are used to deal with uncertainties of real-world problems. So far, a variety of approaches for obtaining efficient solutions (ESs) of these problems have been developed. In this paper, we propose a new and t...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:International journal of fuzzy systems Ročník 22; číslo 3; s. 873 - 890
Hlavní autori: Batamiz, Aida, Allahdadi, Mehdi, Hladík, Milan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2020
Springer Nature B.V
Predmet:
Artificial Intelligence
Computational Intelligence
Engineering
Linear programming
Management Science
Methods
Multiple objective analysis
Operations Research
Optimization
Interval multi-objective linear programming
Uncertainty
constraint
Weighted sum
Lexicographic
Efficient solution
ISSN:1562-2479, 2199-3211
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:In this paper, we consider interval multi-objective linear programming (IMOLP) models which are used to deal with uncertainties of real-world problems. So far, a variety of approaches for obtaining efficient solutions (ESs) of these problems have been developed. In this paper, we propose a new and two generalized methods. In the new method, converting IMOLP into an interval linear programming (ILP) and then obtaining its optimal solutions (OSs), ESs of the IMOLP are determined. This method has several advantages: (i) This method is the only method which obtains a solution box for IMOLP models. (ii) The solving process is not time consuming. (iii) The number of ESs is higher than for other methods. (V) The method is applicable for large-scale problems. Also, we generalize the ε -constraint and lexicographic methods which are used for obtaining ESs of the multi-objective linear programming (MOLP) models which do not have any problems such as lengthy and time-consuming and are applicable for large-scale problems. Some examples were solved to show the efficiency of the proposed methods. Finally, by the proposed method, we solve the IMOLP model corresponding to the problem of the facilities and non-return funds in a bank.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-020-00800-5