Enrique Herrera-Viedma

Enrique Herrera-Viedma
University of Granada | UGR · Department of Computer Science and Artificial Intelligence

Professor in Computer Science and Artificial Intelligence

About

671
Publications
172,981
Reads
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38,548
Citations
Introduction
Vice-President for Research and Knowledge Transfer (UGR) Vice-President for Publications in IEEE SMC 2019- AE of ISI journals: IEEE TSMC, Systems; Knosys; Soft Comp; Applied Soft Comp, J of Intill Fuzzy Syst.; Fuzzy Opt and Dec. Making, IJ of Fuzzy Syst, Inf Fusion, and Inf Science h-index is 54 (>10000 citations WoS) Highly Cited Researcher(Thom Reu) 2014 2015 2016 Top Author in CS (Microsoft Acad) Interest: CWW, fuzzy dec making, consensus, aggregation, social media, recommender syst, libraries, bibliometrics
Additional affiliations
July 2015 - October 2015
University of Granada
Position
  • Vice-President of Research and Transfer, SECABA Laboratory Head
July 2015 - January 2017
University of Granada
Position
  • Vice-President for Research..., BoG member IEEE SMC
November 2007 - present
University of Granada
Position
  • Professor (Full)

Publications

Publications (671)
Chapter
A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, was not originally designed for COVID19. We used the simple, commonly used SEIR model to retrospectively analyse the initial pande...
Chapter
The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in history, and the most recent one has unique characteristics, which are tightly connected to the current society’s lifestyle and b...
Article
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This paper investigates a two stage consensus feedback mechanism that considers different power structures in large scale group decision making (LSGDM) environments. A Louvain algorithm type is used to detect subgroups in LSGDM by trust relationship. The concepts of internal subgroups and external subgroup consensus levels are defined, and an appro...
Article
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Nuclear facilities are a main milestone in the long way to sustainable energy. Beyond the well-known fission centrals, the necessity of cleaner, more efficient and almost unlimited energy reducing waste to almost zero is a major challenge in the next decades. This is the case with nuclear fusion. Different experimental installations to definitively...
Article
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The growth of the Latino population in the United States during the 21st century has attracted the attention of television professionals and scholars to this community. This article aims to study the inclusion of Latinx people in American TV series and the correlation between Latinx characters and Latinx showrunners and writers. A literature review...
Chapter
In a Group Decision Making problem, several people try to reach a single common decision by selecting one of the possible alternatives according to their respective preferences. So, a consensus process is performed in order to increase the level of accord amongst people, called experts, before obtaining the final solution. Improving the consensus d...
Article
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Applied Intelligence is one of the most important international scientific journals in the field of artificial intelligence. From 1991, Applied Intelligence has been oriented to support research advances in new and innovative intelligent systems, methodologies, and their applications in solving real-life complex problems. In this way, Applied Intel...
Article
There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 seconds. Alzheimer's disease is a progressive neurodegenerative disease and various machine learning and image processing methods have been used to detect it. In this study, we used machine learning methods to classify Alz...
Article
DoS and DDoS attacks have been growing in size and number over the last decade and existing solutions to mitigate these attacks are largely inefficient. Compared to other types of malicious cyber attacks, DoS and DDoS attacks are particularly challenging to combat. Because of their ability to mask themselves as legitimate traffic, it has proven dif...
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Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 that hits the world death tolls and economy loss very hard, is more complex and contagious than its precedent diseases. The comp...
Article
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Standard methodologies for restructuring 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 re-structuring netwo...
Article
Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. Legacy approaches dealing with the latter type of problems can be classified into indirect approaches, which involve deriving a...
Article
Recent multi-criteria group decision making methods focus their analysis on the experts preferences. They do not take into account the reasons why each expert has provided a specific set of preferences. In this paper, a method that introduces novel measures capable of explaining the reasons behind experts decisions is presented. A novel concept, th...
Article
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Due to the importance of correlation coefficient in data analysis, researchers have shown interest in the concept of correlation coefficient for the extensions of fuzzy sets, in particular, for a recent established extension known as hesitant fuzzy set (HFS). Most of the existing correlation coefficients for fuzzy sets return the value one to refle...
Article
In this paper, we demonstrate the application of MATLAB to develop a pandemic prediction system based on Simulink. The Susceptible-Exposed-Asymptomatic but infectious-symptomatic and Infectious (Severe Infected Population + Mild Infected Population)-Recovered-Deceased (SEAI(I1+I2)RD) physical model for unsupervised learning and two types of supervi...
Chapter
Pairwise comparison between alternatives is the preference elicitation method most used in decision making. To model it, a mathematical model based on the concept of preference relation has been proposed. When preference relations are used, consistency, which is commonly related to the concept of transitivity, is a fundamental concern needing atten...
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In recent years, the role of unmanned vehicles (UVs) is increased in many surveillance applications; they are substituting the humans in many risky activities, especially when cooperative tasks from UV team are required. To this purpose, this paper presents an agent-based framework that models a multi-UV system for surveillance applications. The ag...
Article
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As one of the burgeoning decision-making instruments, the integrity of dual probabilistic linguistic term sets (DPLTSs) is to express the decision information in terms of cognitive certainty and uncertainty. The superiority of correlation coefficient is to demonstrate the interrelationship of the variables. This paper aims to give full play to the...
Chapter
Group Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group Decision Making methods, like the one developed in this paper, that are capable of dealing with environments where the number...
Article
Full-text available
The outbreak of COVID-19 seriously challenges every government for its capacity and management of public health systems facing the catastrophic emergency. Culture and anti-epidemic policy do not necessarily conflict each other. All countries and governments should be more tolerant to each other in seeking cultural and political consensus to overcom...
Article
The last decade witnessed tremendous developments in social media and e-democracy technologies. A fundamental aspect in these paradigms is that the number of decision makers allowed to partake in a decision making event drastically increases. As a result Large Scale Decision Making (LSDM) has established itself as an emerging and rapidly developing...
Article
Probabilistic hesitant fuzzy set (PHFS) is a fruitful concept that adds to hesitant fuzzy set (HFS) the term of probability which is able to retain more information than the usual HFS. Here, we demonstrate that the existing definitions of PHFS are not still reasonable, and therefore, we first improve the PHFS definition. By endowing the set and alg...
Article
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The move towards sustainable development and energy efficient solutions in the built environment has led to develop innovative solutions, particularly in the area of indoor environmental comfort in buildings. Phase change materials (PCMs) are a potential approach to target building energy use reduction. PCMs are smart materials that have been comme...
Article
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Los objetivos de este artículo son cuatro: analizar las principales diferencias en torno a las dimensiones mejor valoradas de tres estudios sobre satisfacción de personas usuarias basados en LibQUAL+® llevados a cabo en bibliotecas universitarias de España, Argentina y Chile; analizar las diferencias atendiendo a la variable de género (hombres y mu...
Article
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Covid-19 represents the greatest challenge facing mankind today. In December 2019, several cases of pneumonia of unknown etiology were reported from China. This coronavirus infection subsequently identified as Covid-19 aroused worldwide concern. As a result, the scientific community has focused attention on Covid-19, as revealed by recent research...
Article
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By the help of the current contribution, we are interested to present a different technique compared to the exiting ones for ranking linguistic hesitant fuzzy sets (LHFSs). In the existing techniques that are referred hereafter to as the horizontal ranking procedures of LHFSs, we sum up all the multiplications of subscript of linguistic variable by...
Article
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Non-cooperative behavior is a common situation in large-scale group decision-making (LSGDM) problems. In addition, decision makers in LSGDM often use different preference formats to express their opinions, due to their educational backgrounds, knowledge, and experiences. Heterogeneous preference information and non-cooperative behaviors bring chall...
Article
In the last decade, the fuzzy pay-off method has emerged as a widely used alternative approach for real option valuation thanks to its simplicity that makes it easily approachable by practitioners from various application domains. In this study, a new direction for real option valuation is pursued by proposing a granular fuzzy pay-off method. We mo...
Article
With the rapid increase and development of global population and economic, the water-energy-food (WEF) nexus evaluation which is related to the sustainable development of human has become a hotspot. Whereas, the study of the WEF nexus evaluation from the perspectives of social network group decision making (SNGDM) is still a challenge. Hence, this...
Article
The aim of recommender systems is to provide users with items that could be of their interest. However one of the biggest drawbacks from recommender systems is the so called cold start problem, which occurs when new users or products are added to the system and therefore there is no previous information about them. There are many proposals in the l...
Article
The D numbers methodology is a new mathematical approach that has been developed to improve some constraints surrounding evidence theory by managing information uncertainty and incompleteness. Various studies have been conducted on developing D numbers. One of the main extensions of the D numbers methodology is linguistic D numbers, which employs l...
Conference Paper
Full-text available
Group Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group Decision Making methods, like the one developed in this paper, that are capable of dealing with environments where the number...
Article
Full-text available
The rapid advances in Web technologies are promoting the development of new pedagogic models based on virtual teaching. In this framework, personalized services are necessary. Recommender systems can be used in an academic environment to assist users in their teaching-learning processes. In this paper, we present a trust based recommender system, a...
Article
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Knowledge-base is a fundamental platform in the architecture of an intelligent system. Relations and operators are popular knowledge in practice knowledge domains. In this paper, we propose a method to represent the model by combining these kinds of knowledge, called the Rela-Ops model. This model includes foundation components consisting of concep...
Article
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In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this represents a typical problem of machine learning over incomplete or limited data in early epidemic. Composite Monte-Carlo (CMC) simul...
Article
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A novel framework to prevent manipulation behaviour in consensus reaching process under social network group decision making is proposed, which is based on a theoretically sound optimal feedback model. The manipulation behaviour classification is twofold: (1) ‘individual manipulation’ where each expert manipulates his/her own behaviour to achieve h...
Article
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Industry 4.0 is the current industrial revolution and robotics is an important factor for carrying out high dexterity manipulations. However, mechatronic systems are far from human capabilities and sophisticated robotic hands are highly priced. This paper describes a Fuzzy Logic Expert System (FLES) to map kinematic parameters from robotic hand fea...
Article
Interval-valued intuitionistic multiplicative variables (IVIMVs) can conveniently and effectively represent the uncertain multiplicative preferred and non-preferred judgements of decision makers, this paper studies group decision making (GDM) with interval-valued intuitionistic multiplicative preference relations (IVIMPRs). To calculate the interva...
Article
The world wide success of large scale social information systems with diverse purposes, such as e-commerce platforms, facilities sharing communities and social networks, make them a very promising paradigm for large scale information sharing and management. However the anonymity, distributed and open nature of these frameworks, that, on the one han...
Article
Fuzzy Sets and Systems is a leading international journal in computer science and applied mathematics that was created in 1978. In 2018, the journal celebrated its 40th anniversary. The aim of this study is to present a bibliometric overview of the leading trends occurring in the journal between 1978 and 2016 by analysing the most productive and in...
Article
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Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy sy...
Article
Full-text available
Social networks are the preferred mean for experts to share their knowledge and provide information. Therefore, it is one of the best sources that can be used for obtaining data that can be used for a high amount of purposes. For instance, determining social needs, identifying problems, getting opinions about certain topics, ... Nevertheless, this...
Article
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The images capture in a bad environment usually loses its fidelity and contrast. As the light rays travel towards its destination they get scattered several times due to the tiny particles of fog and pollutants in the environment, therefore the energy gets lost due to multiple scattering till it arrives its destination, and this degrades the images...
Article
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One of the most primary issues that organizations have to deal with is incorporating massive structured data problems, simultaneously. Additionally, a vital division in any organization is the department of human resources (HR), which is in charge of the recruitment and personnel selection procedures. Due to the nature of the personnel assessment p...
Article
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The current societal demands and technological developments have resulted in the participation of a large number of experts in making decisions as a group. Conflicts are imminent in groups and conflict management is complex and necessary especially in a large group. However, there are few studies that quantitatively research the conflict detection...
Article
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The development of innovative solutions that allow the aging population to remain 1 healthier and independent longer is essential to alleviate the burden that this increasing segment of the 2 population supposes for the long term sustainability of the public health systems. It has been claimed 3 that promoting physical activity could prevent functi...
Article
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Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include closing borders, schools, suspending community services and commuters. Resuming such curfews depends on the momentum of the outbre...
Article
The use of dual probabilistic linguistic term sets (DPLTSs) to represent the use’s preferences in decision making can reflect the decision maker’s cognitive certainty and uncertainty. Additionally, the appearance of incomplete preferences is a recurring phenomenon that must be taken into account if you want to make a successful decision. This paper...
Article
Failure modes and effects analysis (FMEA) is a very useful reliability-management instrument for detecting and mitigating risks in various fields. Linguistic assessment approach has recently been widely used in FMEA. Words mean different things to different people, so FMEA members may present personalized individual semantics (PIS) in their linguis...
Article
Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An important example for these kinds of reactions is the complete cell implications for the bioreduction of prochiral ketones in which...
Preprint
Full-text available
This study provides an overview of science from the Wikipedia perspective. A methodology has been established for the analysis of how Wikipedia editors regard science through their references to scientific papers. The method of co-citation has been adapted to this context in order to generate Pathfinder networks (PFNET) that highlight the most rele...
Article
Full-text available
This study provides an overview of science from the Wikipedia perspective. A methodology has been established for the analysis of how Wikipedia editors regard science through their references to scientific papers. The method of co-citation has been adapted to this context in order to generate Pathfinder networks (PFNET) that highlight the most rele...
Article
Full-text available
To express the asymmetrically uncertain preferred and non-preferred qualitative judgments of decision makers, this paper introduces interval-valued intuitionistic multiplicative linguistic variables (IVIMLVs). To show their application in decision making, a ranking method is first offered. Then, we introduce IVIMLVs for preference relations and pro...
Article
The high spread of Internet and social networks have completely changed the way that Group Decision Making methods are designed, developed and implemented. Experts now operate in environments where a large amount of information is available and new ideas and participants can appear at any time; this results in a dynamically changing decision enviro...
Article
Full-text available
In order to identify and eliminate known or potential failures from the process of product design, development and production, failure mode and effect analysis (FMEA) have been widely used in a variety of industries as a useful tool in prognostics and health management, safety and reliability analysis. The traditional FMEA shows two significant fla...
Article
The use of consistency methods to supplement or generate missing information so as to obtain a rational and logical ranking list has been a key point in studies of the incomplete preference relation. Existing works on incomplete interval fuzzy preference relations (IFPRs) utilize only endpoints of the original intervals and generate missing values...
Article
In this article, we consider an emergent problem in the sensor fusion area in which unreliable sensors need to be identified in the absence of the ground truth. We devise a novel solution to the problem using the theory of replicator dynamics that require mild conditions compared to the available state-of-the-art approaches. The solution has a low...
Article
Sensor fusion has attracted a lot of research attention during the few last years. Recently, a new research direction has emerged dealing with sensor fusion without knowledge of the ground truth. In this article, we present a novel solution to the latter pertinent problem. In contrast to the first reported solutions to this problem, we present a so...
Article
Full-text available
This article proposes a framework of personalized feedback mechanism to help multiple inconsistent experts to reach consensus in group decision making by allowing to select different feedback parameters according to individual consensus degree. The general harmony degree (GHD) is defined to determine the before/after feedback difference between the...