Owa-based aggregation operations in multi-expert mcdm model
- Publication Type:
- Journal Article
- Citation:
- Economic Computation and Economic Cybernetics Studies and Research, 2017, 51 (2), pp. 211 - 230
- Issue Date:
- 2017-01-01
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
| ContentServer (3).pdf | Published Version | 582.63 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2018, Bucharest University of Economic Studies. All rights reserved. This paper presents an analysis of multi-expert multi-criteria decision making (ME-MCDM) model based on the ordered weighted averaging (OWA) operators. Two methods of modeling the majority opinion are studied as to aggregate the experts’ judgments, in which based on the induced OWA operators. Then, an overview of OWA with the inclusion of different degrees of importance is provided for aggregating the criteria. An alternative OWA operator with a new weighting method is proposed which termed as alternative OWAWA (AOWAWA) operator. Some extensions of ME-MCDM model with respect to two-stage aggregation processes are developed based on the classical and alternative schemes. A comparison of results of different decision schemes then is conducted. Moreover, with respect to the alternative scheme, a further comparison is given for different techniques in integrating the degrees of importance. A numerical example in the selection of investment strategy is used as to exemplify the model and for the analysis purpose.
Please use this identifier to cite or link to this item: