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Professor Enrique Herrera-Viedma

Job: Professor of Soft Computing and Intelligent Information Systems

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: N/A

E: enrique.herrera-viedma@dmu.ac.uk

W: www.dmu.ac.uk/

 

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Research group affiliations

  1. DIGITS – De Montfort University Interdisciplinary Group in Intelligent Transport Systems
  2. Centre for Computational Intelligence

Publications and outputs

  • The overlapping community driven feedback mechanism to support consensus in social network group decision making
    The overlapping community driven feedback mechanism to support consensus in social network group decision making Ji, Feixia; Wu, Jian; Chiclana, Francisco; Wang, Sha; Fujita, Hamido; Herrera-Viedma, Enrique Abstract—Social network group decision-making (SN-GDM) provides valuable support for obtaining agreed decision results by effectively utilizing the connected social trust relationships among individuals. However, the impact of intricately overlapped social trust relationships within overlapping communities on evaluation modifications in the SN-GDM consensus reaching process is seldom considered. To alleviate this issue, this study attempts to construct an overlapping community driven feedback mechanism for improving consensus in SN-GDM. The Lancichinetti-Fortunato method (LFM) is used to detect the overlapping community structures under social trust networks. Subsequently, the trusted recommendation advice is conducted within overlapping communities, which guides the inconsistent subgroups to make an interaction with each other to reach higher consensus level. Then, an associated feedback mechanism for SNGDM with overlapping communities is proposed, which enables the inconsistent subgroups to minimize the consensus cost by selecting personalized feedback parameters. Moreover, it shows that the overlapping communities based feedback mechanism is superior to the feedback mechanisms with non-overlapping communities. Finally, an illustrative example is included, which is also used to testify the efficacy of proposal by comparing the consensus cost under different representative recommendation advice in overlapping social trust networks. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link Ji, F., Wu, J., Chiclana. F., Wang, S., Fujita, H. and Herrera-Viedma, E. (2023) The overlapping community driven feedback mechanism to support consensus in social network group decision making. IEEE Transactions on Fuzzy Systems,
  • A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making
    A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making Xing, Yumei; Wu, Jian; Chiclana, Francisco; Yu, Gaofeng; Cao, Mingshuo; Herrera-Viedma, Enrique A bargaining game is used to develop feedback mechanism for dynamic social networks group decision making (SN-GDM). The dynamic trust relationships between experts are updated by the change of their consensus state after each round of interaction. Then, a maximum entropy model based on individual interactive relationship and fairness is established to determine the comprehensive weight of each expert, which considers: (1) the individual weight by influence of expert; (2) the interaction weight by social relationships of experts. Hence, 2-tuple linguistic collective evaluation matrix of the 2-additive Choquet integral under Möbius transform is put forward. Further, the equilibrium solution of two experts in the bargaining game is established, and then this equilibrium recommendation will be accepted by both experts. Consequently, a bargaining game based feedback mechanism driven by trust relationship is proposed to reflect the interaction behaviors between the inconsistent expert and her/his most trusted consistent one, and therefore the recommendation advices are generated for them to promote consensus in SN-GDM. Finally, a sustainable supplier selection example demonstrates the effectiveness of the proposed approach. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link Xing, Y., Wu, j., Chiclana, F., Yu, G., Cao, M.and Herrera-Viedma, E. (2023) A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making. Information Fusion, 93, May 2023, pp. 363-382
  • An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision making
    An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision making Sun, Qi; Wu, Jian; Chiclana, Francisco; Wang, Sha; Herrera-Viedma, Enrique; Yager, Ronald R. In social network group decision making (SN-GDM) problem, subgroup weights are mostly unknown, many approaches have been proposed to determine the subgroup weights. However, most of these methods ignore the weight manipulation behavior of subgroups. Some studies indicated that weight manipulation behavior hinders consensus efficiency. To deal with this issue, this paper proposes a theoretical framework to prevent weight manipulation in SN-GDM. Firstly, a community detection based method is used to cluster the large group. The power relations of subgroups are measured by the power index (PI), which depends on the subgroups size and cohesion. Then, a minimum adjustment feedback model with maximum entropy is proposed to prevent subgroups’ manipulation behavior. The minimum adjustment rule aims for ‘efficiency’ while the maximum entropy rule aims for ‘justice’. The experimental results show that the proposed model can guarantee the rationality of weight distribution to reach consensus efficiently, which is achieved by maintaining a balance between ‘efficiency’ and ‘justice’ in the mechanism of assigning weights. Finally, the detailed numerical and simulation analyses are carried out to verify the validity of the proposed method. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link Sun, Q., Wu, J., Chiclana, F., Wang, S., Herrera-Viedma, E. and Yager, R.R. (2022) An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision making. Artificial Intelligence Review,
  • Consensus-trust driven bidirectional feedback mechanism in social network group decision making.
    Consensus-trust driven bidirectional feedback mechanism in social network group decision making. Gai, Tiantian; Cao, Mingshuo; Chiclana, Francisco; Zhang, Zhen; Dong, Yucheng; Herrera-Viedma, Enrique; Wu, Jian This paper proposes a consensus-trust driven framework of bidirectional interaction for social network large-group decision making. Firstly, the concepts of interaction consensus threshold and interaction trust threshold are defined, which are used to discriminate the interaction modes between subgroups into four categories. Corresponding hybrid feedback strategies are designed in which the consensus level and trust level of subgroups are regarded as reliable resources to facilitate the achievement of group consensus. Secondly, a minimum adjustment bidirectional feedback model considering cohesion is developed to help the interacting subgroups reach mutual consensus with minimum opinion modification. Finally, the proposed consensus framework is applied to a blockchain platform selection problem in supply chain to demonstrate the effectiveness and applicability of the model. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Gai, T., Cao, M., Chiclana, F., Zhang, Z., Dong, Y., Herrera-Viedma, E. and Wu, J. (2022) Consensus-trust driven bidirectional feedback mechanism in social network group decision making. Group Decision and Negotiation,
  • A minimum cost consensus-based failure mode and effect analysis framework considering experts’ limited compromise and tolerance behaviors
    A minimum cost consensus-based failure mode and effect analysis framework considering experts’ limited compromise and tolerance behaviors Zhang, Hengjie; Liu, Shenghua; Dong, Yucheng; Chiclana, Francisco; Herrera-Viedma, Enrique This study proposes a minimum cost consensus-based failure mode and effect analysis (MCC-FMEA) framework considering experts’ limited compromise and tolerance behaviors, where the first behavior indicates that an FMEA expert might not tolerate modifying his/her risk assessment without limitations, and the second behavior indicates that an FMEA expert will accept risk assessment suggestions without being paid for any cost if the suggested risk assessments fall within his/her tolerance threshold. First, an MCC-FMEA with limited compromise behaviors is presented. Second, experts’ tolerance behaviors are added to the MCC-FMEA with limited compromise behaviors. Theoretical results indicate that in some cases, this MCC-FMEA with limited compromise and tolerance behaviors has no solution. Thus, a minimum compromise adjustment consensus model and a maximum consensus model with limited compromise behaviors are developed and analyzed, and an interactive MCC-FMEA framework, resulting in a FMEA problem consensual collective solution, is designed. A case study, regarding the assessment of COVID-19-related risk in radiation oncology, and a detailed sensitivity and comparative analysis with existing FMEA approaches are provided to verify the effectiveness of the proposed approach to FMEA consensus- reaching The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Hengjie Zhang, Shenghua Liu, Yucheng Dong, Francisco Chiclana, E. Herrera-Viedma: A minimum cost consensus-based failure mode and effect analysis framework considering experts’ limited compromise and tolerance behaviors. IEEE Transactions on Cybernetics. Accepted on 29-09-2022. doi: 10.1109/TCYB.2022.3212093
  • Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems
    Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems Tapia Garcia, Juan Miguel; Chiclana, Francisco; Del Moral Avila, Maria Jose; Herrera-Viedma, Enrique Entropy is a measure of randomness in a given set of data. An entropy measure could be appropriately used to assess consensus across a set of opinions. A Theil-based index is introduced in this paper to obtain the level of consensus in some problems of Group Decision Making. A comparative analysis reveals that the levels of consensus derived from this index are relatively similar to those obtained by using distance functions when a fuzzy preference relations frame is considered. This behavior suggests that this could be a useful tool in the aforementioned context. Tapia, J.M., Chiclana, F., del Moral, M.J., Herrera–Viedma, E. (2022). Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science, 13343. Springer
  • Intentional Bounded Rationality Methodology to Assess the Quality of Decision-making Approaches with Latent Alternative Performances
    Intentional Bounded Rationality Methodology to Assess the Quality of Decision-making Approaches with Latent Alternative Performances Saenz-Royo, Carlos; Chiclana, Francisco; Herrera-Viedma, Enrique Expert's judgments have been crucial in the development of decision theory; however, what criterion to use in the selection of experts remains an issue to address. Decision support techniques proposed to improve the quality of expert judgment decision making consider a demonstrated inconsistency of the judgments expressed by an expert as a criterion of exclusion in the decision-making process of such expert. Although consistency appears to be a desirable condition to qualify as “expert”, little is known about the quality of the decisions made imposing consistency as the expert qualifying condition. This paper proposes a simulation methodology, based on an automaton programmed to make decisions in an intended but bounded rational way, to assess the cost-benefit of different aspects of decision support techniques. Within this methodology, the imposition of the consistency condition in the selection of experts is studied. In particular, the paper shows with a case study example that the Analytical hierarchy process (AHP) decision support technique expected payoff is at most 5% higher when implementing Saaty's consistency criterion of the expert's judgments than when the consistency criterion is not considered. open access article Saenz-Royo, C., Chiclana, F. and Herrera-Viedma, E. (2023) Intentional Bounded Rationality Methodology to Assess the Quality of Decision-making Approaches with Latent Alternative Performances. Information Fusion, 89, pp. 254-266
  • Ordinal-Joint feedback mechanisms to support group consensus with trust and self-confidence behaviours
    Ordinal-Joint feedback mechanisms to support group consensus with trust and self-confidence behaviours Ji, Feixia; Chiclana, Francisco; Zhou, Mi; Herrera-Viedma, Enrique; Wu, Jian This article proposes a framework of consensus reaching process based on interval-valued number with self-confidence involving two feedback mechanisms: (1) the ordinal feedback mechanism (OFM), and (2) the joint feedback mechanism (JFM). Firstly, a new concept called the interval-valued number with self-confidence (IVN-SC) is defined, which allows experts to express self-confidence (SC) when providing their evaluations by interval-valued number (IVN). In OFM, three types of discordant behaviours are explored from the perspective of IVN consensus and SC consensus, and then the corresponding personalized mechanisms for discordant behaviours are implemented to guarantee they both reach consensus threshold. While in JFM, the comprehensive consensus degree by combing the IVN and SC is presented to measure the agreement level among experts, and then a joint optimization model with IVN-SC is activated to support the discordant experts to reach the threshold value of group consensus. It explores that the JFM is less strict than the OFM because the former contains the compensatory aggregation operator while the latter does not. Finally, an illustrative example and comparative analysis are devised to testify the effectiveness of the proposed models. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Ji, F., Chiclana, F., Zhou, M., Herrera-Viedma, E. and Wu, J. (2022) Ordinal-Joint feedback mechanisms to support group consensus with trust and self-confidence behaviours. Information Fusion, 88, pp. 202-217
  • Exploring the ranking, classifications and evolution mechanisms of research fronts：A method based on multiattribute decision making and clustering.
    Exploring the ranking, classifications and evolution mechanisms of research fronts：A method based on multiattribute decision making and clustering. Xiong, Kai; Dong, Yucheng; Guo, Zhaoxia; Chiclana, Francisco; Herrera-Viedma, Enrique This study aims to present a multiattribute decision-making (MADM) and clustering method to explore the ranking, classifications and evolution mechanisms of the research fronts in the Web of Science Essential Science Indicators (ESI) database. First, bibliometrics are used to reveal the characteristics of the 57 ESI research fronts with more than 40 ESI highly cited papers (ESI-HCPs) for each research front. Second, the eight representative indicators are discovered to get answers to the following two questions: (i) Who publishes the ESI-HCPs that form a research front? and (ii) Where citations to these ESI-HCPs come from on a research front? Next, we investigate the ranking and clusters among the 57 ESI research fronts using the MADM and 𝑘-means clustering method and uncover the evolution process of the research fronts in different clusters based on the representative indicators. We also compare the performances of different countries in these research fronts and find that the USA and China are the leading countries in most research fronts. However, the two countries behave differently with regard to the rankings, the classifications and the evolution. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Xiong, K., Dong, Y., Guo, Z., Chiclana, F. and Herrera-Viedma, E. (2022) Exploring the ranking, classifications and evolution mechanisms of research fronts: A method based on multiattribute decision making and clustering. International Journal of Information Technology & Decision Making,
  • Classical Dynamic Consensus and Opinion Dynamics Models: A Survey of Recent Trends and Methodologies
    Classical Dynamic Consensus and Opinion Dynamics Models: A Survey of Recent Trends and Methodologies Hassani, Hossein; Razavi-Far, Roozbeh; Saif, Mehrdad; Chiclana, Francisco; Krejcar, Ondrej; Herrera-Viedma, Enrique Consensus reaching is an iterative and dynamic process that supports group decision-making models by guiding decision-makers towards modifying their opinions through a feedback mechanism. Many attempts have been recently devoted to the design of efficient consensus reaching processes, especially when the dynamism is dependent on time, which aims to deal with opinion dynamics models. The emergence of novel methodologies in this field has been accelerated over recent years. In this regard, the present work is concerned with a systematic review of classical dynamic consensus and opinion dynamics models. The most recent trends of both models are identified and the developed methodologies are described in detail. Challenges of each model and open problems are discussed and worthwhile directions for future research are given. Our findings denote that due to technological advancements, a majority of recent literature works are concerned with the large-scale group decision-making models, where the interactions of decision-makers are enabled via social networks. Managing the behavior of decision-makers and consensus reaching with the minimum adjustment cost under social network analysis have been the top priorities for researchers in the design of classical consensus and opinion dynamics models. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Hassani, H., Razavi-Far, R., Saif, M., Chiclana, F., Krejcar, O., Herrera-Viedma, E. (2022) Classical Dynamic Consensus and Opinion Dynamics Models: A Survey of Recent Trends and Methodologies. Information Fusion, 88, pp. 22-40

Click here to view a full listing of Enrique Herrera-Viedma's publications and outputs.

Research interests/expertise

  • Fuzzy preference modelling
  • Decision making problems with heterogeneous fuzzy information
  • Decision support systems, the consensus reaching process
  • Recommender systems, social networks
  • Modelling situations with missing/incomplete information
  • Rationality/consistency
  • Intelligent mobility and aggregation of information
  • Information retrieval
  • Bibliometrics analysis
  • Digital libraries.

Honours and awards

  • Best conference paper Awards:

S. Alonso, I.J. Pérez, E. Herrera-Viedma, F.J. Cabrerizo, Consensus with Linguistic Preferences in Web 2.0 Communities. 9th International Conference on Intelligent Systems Design and Applications (ISDA09), Pisa (Italy), 809-814, November 30 - December 2, 2009.

  • 2011 IEEE CIS TFS Outstanding Paper Award

F. Herrera, E. Herrera-Viedma, L. Martínez. A Fuzzy Linguistic Methodology To Deal With Unbalanced Linguistic Term Sets. IEEE Transactions on Fuzzy Systems 16:2 (2008) 354-370.

Membership of professional associations and societies

  •     Member of the European Society for Fuzzy Logic and Technology (EUSFLAT)
  •     IEEE member from 2012.

Conference attendance

PC membership

IFSA2009 / EUSFLAT09
FLINS2010 
FCTA 2013
AGOP2013
IFSA-NAFIPS 2013
ISDA'09 
ISKE2009 
ISKE2012
ITQM 2013
Multiconference CAEPIA 2013
UKCI2013
ICNC-FSKD 2013 

  • 28th International Conference on Artificial Intelligence. Application Stream (2008)
  • IEEE International Conference on Fuzzy Systems (2008)
  • IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (2009, 2011, 2013)
  • International Conference on Electronic Commerce and Web Technologies (2008)
  • Fuzzy Logic and Intelligent Technologies in Nuclear Science FLINS (2008, 2010)
  • IEEE Globecom Computer and Communications Network Security Symposium (2008,2009)
  • UK Workshop on Computational Intelligence (2008)
  • SGAI International Conference on Artificial Intelligence (2008)
  • EUROFUSE Workshop on Preference Modelling and Applications (2009, 2011)
  • Global Congress on Intelligent Systems (2009, 2010)
  • International Conference on Intelligent Systems and Knowledge Engineering (2009,2011)
  • International Conference on Fuzzy Computation (2009)
  • International Conference on Fuzzy Systems and Knowledge Discovery (2010)
  • International Symposium on Intelligent Decision Technologies (2010)
  • 2nd KES International Symposium on Intelligent Decision Technologies IDT'10 (2010)
  • 2011 International Conference onIntelligent Systems and Knowledge Engineering (2011)
  • 2009 International Fuzzy Systems Association WORLD CONGRESS (2009)
  • 2009 European Society for Fuzzy Logic and Technology CONFERENCE   (2009)
  • International Conference on Intelligent Systems Design and Applications (ISDA’09).

Externally funded research grants information

Intelligent systems for decisión making in heterogeneous contexts
Reference: Andalusian Excellence Project.TIC-5991
Period: November 2010 – June 2014

FUZZY-LING II: Fuzzy linguistic modelling of preferences: Applications in Information Retrieval and Group Decision Making.
Reference: Education Ministery. TIN2010-17876
Period: January 2011 – December 2013

Developing the fuzzy linguistic modelling and its use in web applications.
Reference: TIC-05299
Period: November 2009 – June 2013

FUZZY-LING: New fuzzy linguistic approaches for preference modelling:Applications on Information Retrieval and Decision Making
Project: Education Ministery. TIN2007-61079
Period: June 2007 - June 2011

Professional esteem indicators

Associate Editor

  • KNOWLEDGE BASED SYSTEMS
    From 2010
  • INFORMATION SCIENCES
    From 2010
  • SOFT COMPUTING 
    From 2012
  • JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 
    From 2012
  • FUZZY OPTIMIZATION & DECISION MAKING
    From 2013
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems
    From 2013

Member of the Editorial Board:

  • FUZZY SETS AND SYSTEMS
    From 2007
  • SOFT COMPUTING 
    From 2007
  • INT. J. OF INFORMATION TECHNOLOGY AND DECISION MAKING
    From 2008
  • INT. J. OF COMPUTATIONAL INTELLIGENCE SYSTEMS
    From 2010

Journal Refereeing information

  • Annals of Operations Research
  • Applied Mathematical Modelling
  • Computers & Industrial Engineering
  • Data & Knowledge Engineering (DKE) Journal
  • European Journal of Operational Research
  • Fuzzy Sets and Systems
  • Group Decision and Negotiation
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Systems, Man and Cybernetics, Part A
  • IEEE Transactions on Systems, Man and Cybernetics, Part B
  • IEEE Transactions on Systems, Man and Cybernetics, Part C
  • IMA Journal of Management Mathematics
  • Information Fusion
  • Information Sciences
  • International Journal of Approximate Reasoning
  • International Journal Artificial Intelligence in Medicine
  • International Journal of Computational Intelligence Research
  • International Journal of Information Technology & Decision Making
  • Journal of Intelligent and Fuzzy Systems
  • International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems(IJUFKS)
  • Journal of Environmental Management
  • Journal of Intelligent and Fuzzy Systems
  • Journal of Multiple-Valued Logic and Soft Computing
  • Journal of Operational Research Society
  • Journal of Systems Science and Systems Engineering
  • Knowledge-Based Systems 
  • Omega
  • Soft Computing
  • The Open Cybernetics and Systemics Journal.

Other Reviewing Activities

  • Switzerland National Council for Development and Innovation (2012)
  • Portuguese Foundation for Science and Technology (FCT) (2012 and 2013).