2026-04-13T02:25:18Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1253992025-12-05T05:57:03Zcom_2072_1057col_2072_478917col_2072_478919

00925njm 22002777a 4500 dc Yusoff, Binyamin author Merigó Lindahl, José M. author Ceballos Hornero, David author 2018-10-17T10:52:54Z 2018-10-17T10:52:54Z 2017 2018-10-17T10:52:54Z 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. Presa de decisions multicriteri Matemàtica financera Incertesa Multiple criteria decision making Business mathematics Uncertainty OWA-based aggregation operations in multi-expert MCDM model