Trust based consensus model for social network in an incomplete linguistic information context
By Jian Wu, Francisco Chiclana, Enrique Herrera-Viedma. Applied Soft Computing, 2015
391 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/1455d14c7cc673ed92801d5353a779c17c42e24d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Enrique Herrera-Viedma
- Francisco Chiclana
- Yucheng Dong
- Zeshui Xu
- Francisco Herrera
- Hengjie Zhang
- Jian Wu
- Huchang Liao
In Management Science and Operations Research
- Enrique Herrera-Viedma
- Zeshui Xu
- Francisco Herrera
- Francisco Chiclana
- Yucheng Dong
- Huchang Liao
- Jian Wu
- Hengjie Zhang
In Sociology and Political Science
Citations in the corpus
- A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust (2018, methodology): “Consequently, a SNA based methodology could be used to model the concept of trust degree (TD) as well as to make possible its measurement to reflect the actual trust relationships between users in a group [11, 43, 45, 48].”
- Fuzzy Group Decision Making With Incomplete Information Guided by Social Influence (2018, methodology): “Moreover, by asking experts to place themselves in the defined rankings, we avoid the complication of defining a numerical level representing the susceptibility of each expert to influence (like in [8]) or a numerical level representing interpersonal trust as in [11] and [12].”
- A visual interaction consensus model for social network group decision making with trust propagation (2017, methodology): “Therefore, in comparison with previous trust propagation operators [31, 38, 41], information attenuation caused by the trusted third parters (TTP) is appropriately addressed and modelled.”
- Fuzzy decision making: A bibliometric-based review (2017, neutral): “We can point out Intuitionistic fuzzy sets [36], Decision-making in a fuzzy environment [3], Multiple attribute decision-making [11], On ordered weighted averaging aggregation operators in multi-criteria decision-making [15], Families of OWA operators [37], Fuzzy sets [1], The concept of a linguisti”
- Consensus reaching in social network group decision making: Research paradigms and challenges (2018, methodology): “1 The framework of CRP paradigm based on trust relationships In recent years, the trust relationships among decision makers, described by a social network, are increasingly playing a key role in different phases of CRPs in the SNGDM problem: aggregation [9,75,80,82], incomplete preference values est”
- Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination (2019, background): “To obtain complete information for a social network, an increasingly large body of research is devoted to investigating how to propagate relation information among members in a social organization [37, 38, 39].”
- Consistency-based risk assessment with probabilistic linguistic preference relation (2016, background): “Therefore, when people are assessing the attributes of a specific object, such as the risk of an investment object, they are more inclined to using “high”, “medium”, “low” and other similar linguistic terms to express their assessing results [1-2].”
- Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions (2018, neutral): “Based on the use of a soft consensus measure, a large number of CRPs have been reported, and they can be mainly classified in to the following types: 1) CRPs under different preference representation structures [5], [8], [16], [27], [31], [37], [50], [54], [56]; 2) CRPs with minimum adjustments or c”