Title
Criteria weights assessment through prioritizations (WAP) using linear programming techniques and visualizations
Abstract
Utilising linear programming techniques in order to estimate the criteria weights based on preferences of decision makers expressed in the form which is used in Simos method usually results in infinite number of optimal solutions bordered into a n-dimensional hyper-polyhedron. For these cases of low robustness the barycenter is calculated and further used, but cannot always be considered satisfactory as far as the representation of the DM’s preferences is concerned. This paper is focused on the presentation of the weights assessment through prioritization method (WAP), constituting a specific integrated implementation of the Robust Simos Method. WAP method on the one hand enriches the preferential information used in a friendly and comprehensive by the DM way while on the other it leads to the estimation of weighting vectors with higher robustness. For the efficient application of the proposed approach, a software module supporting this method was developed and embedded into the RAVI system. The WAP method is presented through an illustration example and the results are discussed in terms of robustness, transparency and comprehensibility.
Year
DOI
Venue
2019
10.1007/s12351-016-0280-7
Operational Research
Keywords
Field
DocType
Multicriteria decision aid,Robustness analysis,Simos method,Linear programming
Data mining,Software modules,Mathematical optimization,Weighting,Computer science,Prioritization,Robustness (computer science),Artificial intelligence,Linear programming,Machine learning
Journal
Volume
Issue
ISSN
19.0
1.0
1866-1505
Citations 
PageRank 
References 
2
0.38
5
Authors
4
Name
Order
Citations
PageRank
Nikos Tsotsolas1213.87
A. Spyridakos220.38
Eleftherios Siskos3242.99
I. Salmon420.38