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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/

 

Research group affiliations

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

Publications and outputs

  • Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes
    Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes Dong, Yucheng; Chen, Meiqian; Guo, Zhaoxia; Chiclana, Francisco; Herrera-Viedma, Enrique The h-index is a citation-based metric with extensive applications, and several variants have been developed to complement it. This study formulates the optimal growth path (OGP) models of selected h-like indexes, that is, the h-index, g-index, A-index, R-index, and e-index, and analyzes their OGP-allocated strategies of citations. It is argued that the OGP is a useful tool for analyzing the sensitivity of these h-like indexes to citations. Through simulation experiments with both real and random data, the sensitivity of the selected h-like indexes to citations is compared. Interestingly, it is found that the h-index performs the worst according to the OGP. Further, it is shown that combining the h-index with the A-index decreases the sensitivity to the citations of the h-index. In summary, this study provides new insights into how to evaluate scientific outputs based on h-like indexes. The file attached to this record is the author's final peer reviewed version.
  • Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations
    Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations Xu, Yejun; Li, Mengqi; Chiclana, Francisco; Herrera-Viedma, Enrique This article investigates multiplicative consistency ascertaining, inconsistency repairing, and weights derivation for hesitant multiplicative preference relations (HMPRs). First, the completely multiplicative consistency and weakly multiplicative consistency of HMPRs are defined. Based on them, 0-1 mixed programming models and simple algebraic operations are proposed to ascertain the multiplicative consistency of HMPRs. Then, some goal programming models are developed to generate the weights from consistent HMPRs and to revise inconsistent HMPRs. An integrated procedure to manage the multiplicative consistencies of HMPRs is designed. The proposed methods are also extended to accommodate incomplete HMPRs, and to estimate missing values. Finally, some numerical examples, a comparative analysis with existent approaches, and a simulation analysis are included to illustrate the practicality and effectiveness of the developed 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.
  • Study of Manhattan's consensus degrees through an extension based on the Uniform distribution
    Study of Manhattan's consensus degrees through an extension based on the Uniform distribution Tapia-Garcia, Juan Miguel; Chiclana, Francisco; Del Moral-Avila, Maria Jose; Herrera-Viedma, Enrique An important aspect to be considered in Group Decision Making problems is the study of consensus. Since in these problems it is desirable that the final decision is widely accepted, improving the consensus degree in a fair way is a very interesting task. This paper analyses the improvement in the consensus degrees –obtained by applying Manhattan distance- when the experts’ preferences are slightly modified using one of the properties of the Uniform distribution. We carry out an experimental study that shows the enhancement in different cases to which Uniform extension is applied using different number of both, experts and alternatives. open access journal
  • Consistency improvement with a feedback recommendation in personalized linguistic group decision making
    Consistency improvement with a feedback recommendation in personalized linguistic group decision making Li, Cong-Cong; Liang, Haiming; Dong, Yucheng; Chiclana, Francisco; Herrera-Viedma, Enrique Consistency is an important issue in linguistic decision making with various consistency measures and consistency improving methods available in the literature. However, existing linguistic consistency studies omit the fact that words mean different things for different people, that is, decision makers' personalized individual semantics (PISs) over their expressed linguistic preferences are ignored. Therefore, the aim of this article is to propose a novel consistency improving approach based on PISs in linguistic group decision making. The proposed approach combines the characteristics of personalized representation and integrates the PIS-based model in measuring and improving the consistency of linguistic preference relations. A detailed numerical and comparative analysis to support the feasibility of the proposed approach is provided. 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.
  • A methodology for restructuring networks by using Markov Random Fields
    A methodology for restructuring networks by using Markov Random Fields García Cabello, Julia; Castillo, Pedro A.; Aguilar-Luzón, María del Carmen; Chiclana, Francisco; Herrera-Viedma, Enrique Standard methodologies for redesigning physical networks rely on Geographic Information Systems (GIS), which strongly depend on local demographic specifications. The absence of a universal definition of demography makes its use for cross-border purposes much more difficult. This paper presents a Decision Making Model (DMM) for redesigning networks that works without geographical constraints. There are multiple advantages of this approach: on one hand, it can be used in any country of the world; on the other hand, the absence of geographical constraints widens the application scope of our approach, meaning that it can be successfully implemented either in physical (ATM networks) or non-physical networks such as in group decision making, social networks, e-commerce, e-governance and all fields in which user groups make decisions collectively. Case studies involving both types of situations are conducted in order to illustrate the methodology. The model has been designed under a data reduction strategy in order to improve application performance. open access article
  • A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making
    A bidirectional feedback mechanism for balancing group consensus and individual harmony in group decision making Cao, Mingshuo; Wu, Jian; Chiclana, Francisco; Herrera-Viedma, Enrique This article proposes a bidirectional feedback mechanism for consensus in group decision making (GDM) driven by the behavior of decision makers (DMs), which is discriminated with a flexible harmony degree as one of three possible states: (1) ‘tolerance behavior’; (2) ‘rationalist behavior’; and (3) ‘conflict behavior’. The first two states are possible to be resolved in the consensus reaching process with one round of feedback recommendations to the discordant DMs. However, in the conflict state, which implies the lack of harmony between the group aim of ‘consensus’ and the individual benefit, it is unreasonable to be resolved with only discordant DMs’ feedback recommendations, and concordant DMs are also expected to make concessions at some degree. To address this not so unusual research problem, a theoretical bidirectional feedback mechanism framework for consensus is developed. Firstly, a maximum consensus driven feedback model is proposed to resolve ‘conflict behavior’ between the concordant and discordant DMs. Secondly, a maximum harmony driven feedback model is activated to support the discordant DMs to reach the threshold values of group consensus. A numerical example is provided to illustrate and verify the proposed mechanism usefulness and how it compares against other existent feedback mechanisms in terms of the extent up to which DMs’ preferences are changed for reaching consensus. 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.
  • Social trust-driven consensus reaching model with a minimum adjustment feedback mechanism considering assessments-modifications willingness
    Social trust-driven consensus reaching model with a minimum adjustment feedback mechanism considering assessments-modifications willingness Zhang, Hengjie; Wang, Fang; Dong, Yucheng; Chiclana, Francisco; Herrera-Viedma, Enrique Social network group decision-making (SNGDM) has emerged as a new decision tool to effectively model the social trust relationships among decision makers. The impact of the social trust relationships on assessments-modifications in the consensus reaching in the SNGDM is seldom considered. This study aims at addressing this issue. The main starting point is the assumption that a decision maker will not be willing to accept the assessments-modifications suggestions that significantly differ from his/her trusted decision makers’ assessments in a social trust network. Thus, this study proposes a social trust–driven minimum adjustments consensus model (STDMACM) for SNGDM. Simultaneously, a social trust–driven consensus maximum optimization model (STDCMOM) is proposed for maximizing the consensus level among decision makers under the above assumption. Based on both STDCMOM and STDMACM, an interactive consensus reaching process is presented, in which the assessments-modifications suggestions generated from the STDMACM are used, when the maximum consensus level obtained from STDCMOM is acceptable, as the references for guiding the consensus reaching; otherwise, assessments modifications suggestions are generated from the designed STDCMOM. The validity of the social trust-driven consensus reaching process with respect to its consensus convergence rate and consensus success ratio is verified with a simulation and comparison analysis. 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.
  • Twofold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation
    Twofold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation Wu, Jian; Wang, Sha; Chiclana, Francisco; Herrera-Viedma, Enrique A twofold personalized feedback mechanism is established for consensus reaching in social network group decision making (SN-GDM). It consists of two stages: (1) generating the trusted recommendation advice for individuals; and (2) producing personalized adoption coefficient for reducing unnecessary adjustment costs. This is achieved by means of a uninorm interval-valued trust propagation operator to obtain indirect trust. The trust relationship is used to generate personalized recommendation advice based on the principle of ‘a recommendation being more acceptable the higher the level of trust it derives from’. An optimization model is built to minimise the total adjustment cost of reaching consensus by determining personalized feedback adoption coefficient based on individuals’ consensus levels. Consequently, the proposed twofold personalized feedback mechanism achieves a balance between group consensus and individual personality. An example to demonstrate how the proposed twofold personalized feedback mechanism works is included, which is also used to show its rationality by comparison with the traditional feedback mechanism in GDM. The file attached to this record is the author's final peer reviewed version.
  • Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
    Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics Li, Cong-Cong; Dong, Yucheng; Chiclana, Francisco; Herrera-Viedma, Enrique In linguistic decision making problems there may be cased when decision makers will not be able to provide complete linguistic preference relations. However, when estimating unknown linguistic preference values in incomplete preference relations, the existing research approaches ignore the fact that words mean different things for different people, i.e. decision makers have personalized individual semantics (PISs) regarding words. To manage incomplete linguistic preference relations with PISs, in this paper we propose a consistency-driven methodology both to estimate the incomplete linguistic preference values and to obtain the personalized numerical meanings of linguistic values of the different decision makers. The proposed incomplete linguistic preference estimation method combines the characteristic of the personalized representation of decision makers and guarantees the optimum consistency of incomplete linguistic preference relations in the implementation process. Numerical examples and a comparative analysis are included to justify the feasibility of the PISs based incomplete linguistic preference estimation method. The file attached to this record is the author's final peer reviewed version.
  • A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making
    A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making Sun, Qi; Wu, Jian; Chiclana, Francisco; Fujita, Hamido; Herrera-Viedma, Enrique This article presents a theoretical framework for a dynamic feedback mechanism in group decision making (GDM) by the implementation of an attitudinal consensus threshold (ACT) to generate recommendation advice for the identified inconsistent experts with the aim to increase consensus. The novelty of the approach resides in its ability to implement the ACT continuously, which allows the covering of all possible consensus states of the group from its minimum to maximum consensus degrees. Therefore, it can be flexibly applied to GDM problems with different consistency requirements. A sensitivity analysis method with visual simulation is proposed to support the checking of the numbers of experts involved in the feedback process and the minimum adjustment cost associated with the different ACT intervals. Experimental results show that an increase in the ACT value will lead to an increase in the number of experts and adjustment cost involved in the feedback process. Eventually, a numerical example is included to simulate the feedback process under various decision making scenarios with different ACT intervals. 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.

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).