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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology. Application to Eurobonds Credit Risk Evaluation Chiclana, Francisco; Mata, F.; Herrera-Viedma, Enrique. - : Wiley, 2017 BASE Show details 2 Aggregation of Unbalanced Fuzzy Linguistic Information in Group Decision Problems based on Type-1 OWA Operator. Perez, L. G.; Herrera-Viedma, Enrique; Chiclana, Francisco. - 2015 BASE Show details 3 Social network decision making with linguistic trustworthiness based induced OWA operators Perez, L. G.; Mata, F.; Chiclana, Francisco. - : Wiley, 2014 Abstract: The file attached to this record is the authors final peer reviewed version. The publisher's version of record can be found by following the DOI link. ; Classic aggregation operators in group decision making such as the OWA, IOWA, C-IOWA, P-IOWA and I-IOWA have shown to be successful tools in order to provide flexibility in the aggregation of preferences. However, these operators do not take advantage of information related to the interaction between experts. Experts involved in a group decision making problem may have developed opinions about the reliability of other experts' judgements, either because they have previous history of interaction with each other or because they have knowledge that informs them on the reliability of other colleagues in the group in solving decision making problems in the past. In this paper, and within the framework of social network decision making, we present three new social network analysis based IOWA operators that take advantage of the linguistic trustworthiness information gathered from the experts' social network to aggregate the social group preferences. Their use is analysed with simple but illustrative examples. Keyword: aggregation operators; decision making; social network analysis URL: http://hdl.handle.net/2086/10392 https://doi.org/10.1002/int.21686 BASE Hide details 4 Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts Mata, F.; Perez, L. G.; Zhou, Shang-Ming. - : Elsevier, 2014 BASE Show details 5 Measurements of consensus in multi-granular linguistic group decision-making. Herrera-Viedma, Enrique; Mata, F.; Martinez, L.. - : Springer-Verlag Heidelberg, 2004 BASE Show details

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