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Listar por autor "Herrera-Viedma, Enrique"
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Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Applied Soft Computing Journal, 08/2020)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 ... -
Consensus in a fuzzy environment: a bibliometric study
Cabrerizo, Francisco Javier; Martínez Sánchez, María Ángeles ; Herrera Gómez, Manuel; Herrera-Viedma, Enrique (3RD International conference on information technology and quantitative management, ITQM 2015, 2015)In today's organizations, group decision making has become a part of everyday organizational life. It involves multiple individuals interacting to reach a decision. An important question here is the level of agreement or ... -
Customer churn prediction for web browsers
Wu, Xing; Li, Pan; Zhao, Ming; Liu, Ying; González-Crespo, Rubén; Herrera-Viedma, Enrique (Expert Systems with Applications, 2022)In the competitive web browser market, identifying potential churners is critical to decreasing the loss of existing customers. Churn prediction based on customer behaviors plays a vital role in customer retention strategies. ... -
Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations
Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Moreno, Caio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a ... -
Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques
Morente-Molinera, Juan Antonio; Ríos Aguilar, Sergio ; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Expert Systems with Applications, 01/08/2019)Due to the appearance of Web 2.0 technologies and smartphones, the amount of information available to carry out group decision-making processes has increased dramatically. Therefore, there is a need for group decision-making ... -
Deep and handcrafted feature supported diabetic retinopathy detection: A study
Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)The eye is the prime sensory organ in physiology, and the abnormality in the eye severely influences the vision system. Therefore, eye irregularity is commonly assessed using imaging schemes, and Fundus Retinal Image (FRI) ... -
DisastDrone: A Disaster Aware Consumer Internet of Drone Things System in Ultra-Low Latent 6G Network
Mukherjee, Amartya; De, Debashis; Dey, Nilanjan; González-Crespo, Rubén; Herrera-Viedma, Enrique (IEEE Transactions on Consumer Electronics, 2023)Internet of Things application in disaster responses and management is a predominant research domain. The introduction of the consumer drones, flying ad-hoc networks, low latency 5G, and beyond 5G produce significant ... -
Enhancing big data feature selection using a hybrid correlation-based feature selection
Mohamad, Masurah; Selamat, Ali; Krejcar, Ondrej; González-Crespo, Rubén ; Herrera-Viedma, Enrique; Fujita, Hamido (2021)This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ... -
Fast single image haze removal method for inhomogeneous environment using variable scattering coefficient
Gupta, Rashmi; Khari, Manju; Gupta, Vipul; Verdú, Elena ; Wu, Xing; Herrera-Viedma, Enrique; González-Crespo, Rubén (CMES - Computer Modeling in Engineering and Sciences, 2020)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 ... -
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)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 ... -
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
González-Crespo, Rubén; Herrera-Viedma, Enrique; Dey, Nilanjan; Fong, Simon James; Li, Gloria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)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 ... -
Fuzzy logic expert system for selecting robotic hands using kinematic parameters
Cobos-Guzmán, Salvador ; Verdú, Elena ; Herrera-Viedma, Enrique; González-Crespo, Rubén (Journal of Ambient Intelligence and Humanized Computing, 01/04/2020)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 ... -
Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification
Albadan, Javier; Gaona-García, Paulo Alonso; Montenegro, Carlos; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Informática, 2018)Non-programmed decision-making is an activity that requires a number of methods to try to capture the rational behaviour of an aspirant in situations of uncertainty. Thus, there is a varied list of attributes, methods, and ... -
Generating Recommendations in GDM with an Allocation of Information Granularity
Cabrerizo, Francisco Javier; Morente-Molinera, Juan Antonio ; Pérez, Ignacio Javier; Urena, Raquel; Herrera-Viedma, Enrique (Aggregation Functions in Theory and in Practice, 2018)A Group decision making process is carried out when human beings jointly make an election from a possible collection of alternatives. Here, a question of importance is to avoid winners and losers, in the sense that the ... -
Granulating linguistic information in decision making under consensus and consistency
Cabrerizo, Francisco Javier; Morente-Molinera, Juan Antonio ; Pedrycz, Witold; Taghavi, Atefe; Herrera-Viedma, Enrique (Expert Systems with Applications, 01/07/2018)This study is concerned with group decision making contexts in which linguistic preference relations are used to provide the evaluations of results. On the one hand, granulation of linguistic terms, which are used as entries ... -
H-Classics: characterizing the concept of citation classics through H-index
Martínez Sánchez, María Ángeles ; Herrera Gómez, Manuel; López-Gijón, J.; Herrera-Viedma, Enrique (Scientometrics, 03/2014)Citation classics identify those highly cited papers which are an important reference point in a research field. To identify a paper as a citation classic we have to fix a citation threshold value. Usually, this threshold ... -
Identifying Citation Classics in Fuzzy Decision Making Field Using the Concept of H-Classics
Cobo, Manuel Jesús; Martínez Sánchez, María Ángeles ; Gutiérrez-Salcedo, María; Herrera Gómez, Manuel; Herrera-Viedma, Enrique (2014)Citation classics identify those highly cited papers which are an important reference point in a research field. Identifying citation classics in a research field is one of the main approaches used to conduct a systematic ... -
Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach
Cabrerizo, Francisco Javier; Morente-Molinera, Juan Antonio ; Alonso, Sergio; Pedrycz, Witold; Herrera-Viedma, Enrique (2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, 2018)Intuitionistic reciprocal preference relations constitute a flexible and simple representation of decision makers' preference on a set of alternative options, while at the same time allow to accommodate degrees of hesitation ... -
Improving queries and representing heterogeneous information in fuzzy ontologies using multi-granular fuzzy linguistic modelling methods
Morente-Molinera, Juan Antonio ; Perez, I. J.; Cabrerizo, Francisco Javier; Porcel, Carlos; Herrera-Viedma, Enrique (2016 IEEE International conference on systems, man, and cybernetics (SMC), 2016)The appearance of Fuzzy Ontologies has improved the way that crisp ontologies use to represent information. Thanks to them, it is possible to represent information in an imprecise and linguistic way using linguistic modelling ... -
Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy
Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...