A visualization approach for robustness analysis in multicriteria disaggregation–aggregation approaches

A. Spyridakos (), N. Tsotsolas (), Y. Siskos (), D. Yannakopoulos () and I. Vryzidis ()
Additional contact information
A. Spyridakos: Piraeus University of Applied Sciences
N. Tsotsolas: Piraeus University of Applied Sciences
Y. Siskos: University of Piraeus
D. Yannakopoulos: Piraeus University of Applied Sciences
I. Vryzidis: Piraeus University of Applied Sciences

Operational Research, 2020, vol. 20, issue 3, No 25, 1861 pages

Abstract: Abstract The assessment of criteria weights in multicriteria decision aid methods of value system approaches, often leads to the assessment of preference models with a low degree of robustness due to the assessment of several compatible value functions. This research work presents a methodological frame, which aims to three issues: (a) to explain the nature of low robustness of the estimated preference models, utilising tomographical techniques, visual tools, and specific indices for the robustness measurement, (b) to support the Decision Makers (DMs) towards a deeper understanding of his/her value system, and (c) to acquire additional preference information by the DM estimating a value functions of higher robustness through focused interactive feedbacks. The main scope of this research work is to exploit and enrich the interactive nature of the multicriteria disaggregation–aggregation approach. The proposed methodology is applied on a real world case study along with the utilisation of the RAVI (Robustness Analysis with Visual and Interactive approaches) software developed to support the above mentioned methodological approach.

Keywords: Multicriteria decision aid; Robustness analysis; Decision support systems; Disaggregation; Aggregation approach (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-018-0394-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0394-1

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-018-0394-1

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().