A Two-Stage Multi-objective Programming Model to Improve the Reliability of Solution

Randomness is a common uncertainty encountered in practical multi-objectives decision-making. But it is always a challenge for decision-makers to process randomness in multi-objective programming problems. This paper takes the decision-making objectives as fuzzy events and aims to solve numerical mu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of computational intelligence systems Jg. 13; H. 1; S. 433 - 443
Hauptverfasser: Jin, Chenxia, Li, Fachao, Feng, Kaixin, Guo, Yunfeng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 01.01.2020
Springer Nature B.V
Springer
Schlagworte:
Case studies
Decision analysis
Decision making
Expectation value
Fuzzy events
Mathematical programming
Model testing
Multi-objective programming
Randomness
Regular Paper
Reliability
Randomness
Multi-objective programming
Fuzzy events
Reliability
Expectation value
ISSN:1875-6891, 1875-6883, 1875-6883
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Randomness is a common uncertainty encountered in practical multi-objectives decision-making. But it is always a challenge for decision-makers to process randomness in multi-objective programming problems. This paper takes the decision-making objectives as fuzzy events and aims to solve numerical multi-objective programming problems under random environment. We first analyze the effects of randomness on multi-objective decision-making results. With the expectation value and the probability of fuzzy events as quantitative index of randomness, we then establish a two-stage random multi-objective programming model based on reliability (i.e., TS-MOPM). Specifically, we give several probability calculation methods of fuzzy events with common distributions, and further present the corresponding calculation procedures for solving TS-MOPM. Finally, a case study is implemented to test the proposed model TS-MOPM. Theoretical analysis and case study indicate that our model has better interpretability and operability. The research results enrich the existing random multi-objective programming methods to some extent.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1875-6891
1875-6883
1875-6883
DOI:10.2991/ijcis.d.200410.001