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DeciTrustNET SIGNED

Trust based Decision Support Systems for Social Networks with Uncertain Knowledge

Total Cost €

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EC-Contrib. €

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Partnership

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Project "DeciTrustNET" data sheet

The following table provides information about the project.

Coordinator
DE MONTFORT UNIVERSITY 

Organization address
address: THE GATEWAY
city: LEICESTER
postcode: LE1 9BH
website: www.dmu.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-10-04   to  2020-02-21

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DE MONTFORT UNIVERSITY UK (LEICESTER) coordinator 183˙454.00

Map

 Project objective

In real world decision-making, such as public security, social choice or recommender systems, we have a large body of data from various networked heterogeneous information sources or individuals that often conflict with each other and provide inconsistent knowledge. It is a challenging task to yield an optimal consensus decision, given the range of individual decisions obtained in terms of these knowledge sources. This research proposal aims to create a novel mathematical and computational framework for trust based social choice in networks and with uncertain knowledge by merging multiple individuals’ preferences in an adaptive manner to reduce the disagreements among them, and automatically seek a decision or provide a recommendation with a maximal consensus. To achieve our goal, we propose to bring together, for the first time, four previously disparate strands of research: social network analysis, fuzzy preference modelling, multiple attribute group decision-making and game theoretic modelling of malicious users. As a showcase the proposed framework will be incorporated to an e-health recommender platform to increase healthy lifestyle in cancer survivors. Both the fellow and the host researcher have extensive research experience in decision support system under uncertainty, e-health platforms and software and mobile development. With the foundational theory already in place, and given the growing interest in decision support systems and social networks, the time is right for pursuing this research. Being executable, this model will pave the way for an entirely new form of automated decision-support under uncertainty and incomplete information in dynamic environments and, at the same time will greatly expand the fellow knowledge and skill set, and help her to develop into a leading independent researcher. The proposed application has great outreach/commercialisation potential and contributes towards the H2020 Health, Demographic Change and Wellbeing challenge.

 Publications

year authors and title journal last update
List of publications.
2019 J.A. Morente-Molinera, G. Kou, K. Samuylov, R. Ureña, E. Herrera-Viedma
Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions
published pages: 335-345, ISSN: 0950-7051, DOI: 10.1016/j.knosys.2018.12.006
Knowledge-Based Systems 165 2020-04-01
2019 Iván A. Rodríguez-Méndez, Raquel. Ureña, Enrique Herrera-Viedma
Fuzzy clustering approach for brain tumor tissue segmentation in magnetic resonance images
published pages: 10105-10117, ISSN: 1432-7643, DOI: 10.1007/s00500-018-3565-3
Soft Computing 23/20 2020-04-01
2019 Haiming Liang, Yucheng Dong, Zhaogang Ding, Raquel Urena, Francisco Chiclana, Enrique Herrera-Viedma
Consensus Reaching with Time Constraints and Minimum Adjustments in Group with Bounded Confidence Effects
published pages: 1-1, ISSN: 1063-6706, DOI: 10.1109/tfuzz.2019.2939970
IEEE Transactions on Fuzzy Systems 2020-04-01
2019 Mingshuo Cao, Jian Wu, Francisco Chiclana, Raquel Urena, Enrique Herrera-Viedma
A Personalized Consensus Feedback Mechanism Based on Maximum Harmony Degree
published pages: 1-13, ISSN: 2168-2216, DOI: 10.1109/tsmc.2019.2960052
IEEE Transactions on Systems, Man, and Cybernetics: Systems 2020-04-01
2020 Atefeh Taghavi, Esfandiar Eslami, Enrique Herrera-Viedma, Raquel Ureña
Trust based group decision making in environments with extreme uncertainty
published pages: 105168, ISSN: 0950-7051, DOI: 10.1016/j.knosys.2019.105168
Knowledge-Based Systems 191 2020-04-01
2020 Raquel Ureña, Francisco Chiclana, Alvaro Gonzalez-Alvarez, Enrique Herrera-Viedma, Jose A. Moral-Munoz
m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition
published pages: 1462, ISSN: 1424-8220, DOI: 10.3390/s20051462
Sensors 20/5 2020-04-01
2019 Raquel Ureña, Francisco Chiclana, Guy Melançon, Enrique Herrera-Viedma
A social network based approach for consensus achievement in multiperson decision making
published pages: 72-87, ISSN: 1566-2535, DOI: 10.1016/j.inffus.2018.07.006
Information Fusion 47 2020-04-01
2019 Raquel Ureña, Gang Kou, Jian Wu, Francisco Chiclana, Enrique Herrera‐Viedma
Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
published pages: 1261-1280, ISSN: 0884-8173, DOI: 10.1002/int.22095
International Journal of Intelligent Systems 34/6 2020-04-01
2019 Raquel Ureña, Gang Kou, Yucheng Dong, Francisco Chiclana, Enrique Herrera-Viedma
A review on trust propagation and opinion dynamics in social networks and group decision making frameworks
published pages: 461-475, ISSN: 0020-0255, DOI: 10.1016/j.ins.2018.11.037
Information Sciences 478 2020-04-01

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