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dc.contributor.authorWu, Jianen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorXiong, R.en
dc.date.accessioned2016-01-13T16:13:01Z
dc.date.available2016-01-13T16:13:01Z
dc.date.issued2016-01
dc.identifier.citationWu, J., Xiong,R. and Chiclana, F. (2016) Uninorm trust propagation and aggregation methods for group decision making in social network with four tuples information. Knowledge-Based Systems. online firsten
dc.identifier.urihttp://hdl.handle.net/2086/11469
dc.descriptionThe file attached to this record is the authors accepted version. The publisher's final version of record can be found by following the DOI link below.en
dc.description.abstractA novel social network based group decision making (SN-GDM) model with experts' weights not provided beforehand and with the following four tuple information: trust; distrust; hesitancy; and inconsistency, is introduced. The concepts of trust score (TS) and knowledge degree (KD) are de ned and combined into a trust order space. Then, a strict trust ranking order relation of trust function values (TFs) is built in which TS and KD play a similar role to the mean and the variance in Statistics. After the operational laws of TFs for uninorm operators are built, the uninorm propagation operator is investigated. It can propagate through a network both trust and distrust information simultaneously and therefore it prevents the loss of trust information in the propagating process. When an indirect trust relationship is built, the uninorm trust weighted average (UTWA) operator and the uninorm trust ordered weighted average (UTOWA) operator are de ned and used to aggregate individual trust relationship and to obtain their associated ranking order relation. Hence, the most trusted expert is distinguished from the group, and the weights of experts are determined in a reasonable way: the higher an expert is trusted the more importance value is assigned to the expert. Therefore, the novelty of the proposed SN-GDM is that it can use indirect trust relationship via trusted third partners (TTPs) as a reliable resource to determine experts' weights. Finally, the individual trust decision making matrices are aggregated into a collective one and the alternative with the highest trust order relation is selected as the best one.en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectGroup decision makingen
dc.subjectSocial networken
dc.subjectTrust propagationen
dc.subjectTrust aggregationen
dc.subjectFour tuple informationen
dc.titleUninorm trust propagation and aggregation methods for group decision making in social network with four tuples informationen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1016/j.knosys.2016.01.004
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderNational Natural Science Foundation of Chinaen
dc.funderZhejiang Provincial Natural Science Foundation of Chinaen
dc.funderZhejiang Provincial Key Research Base of Humanistic and Social Sciences in Hangzhou Dianzi Universityen
dc.funderZhejiang Provincial Qianjiang Talent Foundation of Chinaen
dc.funderZhejiang Provincial Social Science Association Foundation of Chinaen
dc.projectidNSFC-.71571166en
dc.projectidLY15G010003en
dc.projectidZD01- 201502en
dc.projectidQJC1402015en
dc.projectid2015Z026en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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