2014
DOI: 10.1016/j.ejor.2014.03.047
|View full text |Cite
|
Sign up to set email alerts
|

A synergy of multicriteria techniques to assess additive value models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
13
0
1

Year Published

2015
2015
2023
2023

Publication Types

Select...
5
4
1

Relationship

1
9

Authors

Journals

citations
Cited by 29 publications
(14 citation statements)
references
References 24 publications
0
13
0
1
Order By: Relevance
“…This facilitates decision making, since the average rank range of 4.5 of the top 15 alternatives is deemed as admissible and not excessive by the managers. However, in other evaluation problems, where very high stability levels of the ranking are considered as imperative, further measures and rules should be followed to improve it (see Hurson and Siskos, 2014, for instance). Similarly, in case the top management of the pharmaceutical company ponders over the prospect of investing in certain middle-ranked categories, similar measures may be necessary to be implemented prior to decision making.…”
Section: Discussion On Resultsmentioning
confidence: 99%
“…This facilitates decision making, since the average rank range of 4.5 of the top 15 alternatives is deemed as admissible and not excessive by the managers. However, in other evaluation problems, where very high stability levels of the ranking are considered as imperative, further measures and rules should be followed to improve it (see Hurson and Siskos, 2014, for instance). Similarly, in case the top management of the pharmaceutical company ponders over the prospect of investing in certain middle-ranked categories, similar measures may be necessary to be implemented prior to decision making.…”
Section: Discussion On Resultsmentioning
confidence: 99%
“…The methodology described in this paper is a robust ordinal regression approach (Greco et al 2010) and suggests the aggregation of multiple evaluation criteria via an additive value model (see Hurson and Siskos 2014 for a recent survey on methods implementing additive value functions). This model is indirectly inferred from a ranking of reference agricultural units, given by the DM, by means of the disaggregation method UTASTAR (Siskos and Yannacopoulos 1985).…”
Section: Methodsmentioning
confidence: 99%
“…The application example presented here is a hypothetical problem, concerning the prioritization of six possible metro lines extensions, based on the criteria modeling proposed by Hugonnard and Roy (1983); the data are given in Hurson and Siskos (2014). The following evaluation criteria are used in the evaluation and ranking of the six alternative actions: Table 4.…”
Section: Metro Lines Extension Planning Problemmentioning
confidence: 99%