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Aggregation of Unbalanced Fuzzy Linguistic Information in Group Decision Problems based on Type-1 OWA Operator.
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42 |
Consistency based completion approaches of incomplete preference relations in uncertain decision contexts.
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43 |
Trust Based Consensus Model for Social Network in an Incomplete Linguistic Information Context
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Social network decision making with linguistic trustworthiness based induced OWA operators
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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.
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Keyword:
aggregation operators; decision making; social network analysis
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URL: http://hdl.handle.net/2086/10392 https://doi.org/10.1002/int.21686
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46 |
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
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Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations
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48 |
Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations
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Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
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54 |
Ranking and selection of unsupervised learning marketing segmentation
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55 |
Social Choice Voting with Linguistic Preferences and Difference in Support
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58 |
Group decision-making with incomplete fuzzy linguistic preference relations.
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A selection process to deal with incomplete fuzzy preference relations in a 2-tuple fuzzy linguistic approach
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Inducing linguistic weights for type-1 OWA operators in soft decision making.
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