Año de realización: 2022

Documento: https://sinbad2.ujaen.es/wp-content/uploads/2022/03/Special_Session_Proposal-DM_v3.pdf

Breve descripción: Special session: Decision making under uncertainty: emerging topics and applications in the the 15th International FLINS conference and the 17th International ISKE conference, organized by Rosa Mª Rodríguez, Álvaro Labella, Luis Martínez. 26-28th August 2022, Tianjin (China)

Decision making is a common task related to intelligent and complex activities that take into account various types of risk and uncertainty in which human beings face situations in which a set of alternatives should be sorted, ranked or selected the best one. Nowadays, the structure of decision making models has grown inevitably and is significantly complex driving to decisions made by groups of experts (from few to a large scale). Moreover, unavailability data is compensated by using a number of assumptions as a means of dealing with uncertainty. To deal with uncertainty in decision making problems, different fuzzy methodologies and theories have been proposed in the literature, such as fuzzy sets, fuzzy linguistic approach, intuitionistic fuzzy sets, q-rung orthopair fuzzy
sets, hesitant fuzzy sets, hesitant fuzzy linguistic term sets, type 2 fuzzy sets, etc., as well as a wide range of tools, operations and decision models have been proposed to cope with decision problems dealing with uncertainty. Nevertheless, the advances and the appearance of new challenges always imply novel mathematical foundations and new decision models to be applied in different decision fields dealing with uncertainty

Año de realización: 2021

Breve descripción: Special session: Large Scale Group Decision Making for Sustainability, in the 2021 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2021) organized by Rosa Mª Rodríguez, Álvaro Labella, Luis Martínez. 26-28th November 2021, Chengdu (China)

In order to make population grow sustainable, world leaders adopted the Agenda 2030 and its 17 Sustainable Development Goals (SDG). The environmental deterioration we are suffering is causing most industrialized countries to design a regulatory response that responds to current environmental demands, reaching new agreements that reorient current modes of production. The enormous complexity of problems associated with climate change and action makes experts often come up with assumptions that fail to reflect the real world constraints to reduce such a complexity. Hence to meet several of the challenges of the Agenda 2030 the SD policies and plans become ever more crucial in which Intelligent Decision Making plays a key role. Many of the decision making problems that involves sustainability policy making and SD decision support are defined under contexts that demand the participation of many stakeholders, decision makers, experts and so on. Multi-Criteria Decision Making (MCDM) has long been used to address challenges and resolve problems associated with environmental, energy, and climate policy, and decision support systems have recently been developed, featuring the capacity to solve climate change-related MCDM problems from the perspective of multiple stakeholders. However, many of the current decision making problems that involves sustainability policy making and SD decision support are defined under contexts that demand the participation of many stakeholders, decision makers, experts and so on; in the decision making processes, hence these decision making problems become more complex. One topic that recently has grown up within decision making to deal with such a type of problems is Large-Scale Group Decision Making (LSGDM) in which, the complexity of dealing with a large number of experts implies new challenges in group decision making such as, polarization opinions, scalability and the uncertainty present in the experts’ information.

Año de realización: 2021

Documento: https://sinbad2.ujaen.es/wp-content/uploads/2021/06/cfp-Sesion-Especial-Estylf2021.pdf

Breve descripción: Sesión especial: Toma de Decisiones con Información Difusa en el XX Congreso Español sobre Tecnologías y Lógica Fuzzy dentro del CAEPIA, organizada por Rosa Mª Rodríguez, Álvaro Labella, Luis Martínez. 22-24 Septiembre 2021, Malaga.

La Toma de Decisiones (TD) es una actividad habitual en diversos campos de aplicación y áreas de investigación (ingeniería, ciencias sociales, psicología, tecnologías de la información, etc.). Esta extensa gama de campos de aplicación ha originado el estudio de estos problemas desde distintas aproximaciones y perspectivas.
La Teoría Clásica de la decisión proporciona diversas herramientas y modelos para resolver muchos de estos problemas de decisión. Sin embargo, la mayoría de estos modelos son determinísticos y probabilísticos que no se adaptan bien a problemas que presentan incertidumbre de naturaleza no probabilística que son habituales en muchas situaciones del mundo real.
Para abordar estos problemas y tratar este tipo de incertidumbre no probabilística existen distintos enfoques y herramientas, entre los que se encuentran la teoría de conjuntos difusos, la Aproximación Lingüística Difusa, además de distintas extensiones de los conjuntos difusos que han permitido mejorar flexibilidad y fiabilidad de los modelos clásicos.
Esta sesión tiene como objetivo proporcionar una oportunidad a los investigadores que trabajan en Toma de Decisiones bajo incertidumbre utilizando Conjuntos Difusos o algunas de sus extensiones, para revisar el estado del arte y presentar resultados y experiencias novedosas y recientes en el área. Los posibles temas de interés (aunque no limitados) son:
• Toma de decisión multi-criterio
• Toma de decisión en grupo
• Ingeniería del conocimiento para toma de decisiones difusas
• Modelado difuso en sistemas de apoyo a la decisión guiados por datos
• Computación con palabras aplicada a la toma de decisiones
• Procesos de alcance de consenso con información difusa
• Procesos de elección, clasificación y ordenación en toma de decisiones bajo incertidumbre
• Aplicaciones reales de la toma de decisión difusa

Año de realización: 2021

Documento: https://sinbad2.ujaen.es/wp-content/uploads/2021/06/Special-Session-EUREKAS2021-v2.pdf

Breve descripción: Special session: Fuzzy Sets and their Extensions Applied to Decision Making under Uncertainty, in the International Virtual Workshop of Business Analytics Eureka organized by Luis Martínez, Rosa Mª Rodríguez, Alvaro Labella. 2-4th June 2021, México.

Decision making is a common task related to intelligent and complex activities that take into account various types of risk and uncertainty in which human beings face situations. Nowadays, the structure of decision making models has grown inevitably and is significantly complex. Additionally unavailability data is compensated by using a number of assumptions as a means of dealing with uncertainty. Often, in such a complex decision situations under uncertain environments dealing with imprecise information, therefore different fuzzy based approaches have been developed and successfully applied to model and manage such uncertainties in decision making problems.

Both Decision Making and fuzzy modelled information have attracted much attention in which, novel mathematical foundations and new decision models raised to be applied in different decision fields such as large-scale group decision making, consensus reaching processes, evaluation processes, etc.

This invited session aims at providing an opportunity for researchers working in both research areas to discuss and to share their new ideas, original research results and practical experiences. More specifically, we expect you to have any contribution with the focus on the use of computing with words in decision making. Potential topics (but not limited) of this special session are as follows:
• Fuzzy modelling to represent preferences
• Fuzzy Multi-criteria decision making
• Fuzzy large-scale group decision making
• Soft consensus reaching models
• Fuzzy Decision Support Systems
• Applications such as, engineering evaluation, sensory evaluation, risk assessment, evaluation and recommendations and so on.

Año de realización: 2016

Documento: https://sinbad2.ujaen.es/wp-content/uploads/2016/09/cfp-IEEE-WCCI-Fusion-and-Linguistic-Decision-Making.pdf

Breve descripción: Special Session on Information Fusion and Fuzzy Linguistic Decision Making. Luis Martínez, Rosa M. Rodríguez, and Francisco Herrera.

Special Session on Information Fusion and Fuzzy Linguistic Decision Making

Luis Martínez, Rosa M. Rodríguez, and Francisco Herrera

 

Brief description

Decision Making is an inherent mankind task related to intelligent and complex activities in which human beings face situations where they must choose among different alternatives by means of reasoning and mental processes. Such decision situations usually involve different types of uncertainty according to their nature. The fusion of information can reduce uncertainty and facilitate the decision making process because it associates, correlates and combines information from multiple sources to provide a relevant and timely view of the situation.

Therefore, information fusion in decision making has been widely studied from different points of view according to the framework in which it should be developed. However, there are still different open challenging problems related to information fusion and decision making because of the necessity of dealing with either novel decision making problems with new types of uncertainty and their modelling or with the advances in information fusion that imply improvements regarding previous approaches.

Additionally, many real decision situations are defined under uncertain contexts with imprecise information, in which it is straightforward the use of linguistic information. Fuzzy linguistic approach based models and Computing with Words (CW) provides the tools and methodology to deal with words. CW emulates human cognitive processes to improve decision solving processes under uncertainty. Consequently, information fusion processes, fuzzy linguistic approach and CW have been applied as modelling and computational basis for linguistic decision making, because it provides tools close to human beings reasoning processes related to decision making, which improve and facilitate the resolution of decision making under uncertainty as linguistic decision making.

All Information Fusion, Decision Making, Fuzzy Linguistic Approach and Computing with Words have recently attracted much attention in which, novel mathematical foundations and new decision models raised to be applied in different decision fields such as multi-criteria decision making, decision analysis, evaluation processes, consensus reaching processes, etc.

Topics of the special session:

• Fusion Methods for Linguistic Decision making
• Linguistic expression domains to represent preferences
• Linguistic hesitant for modeling preference
• Multi-criteria and group decision making
• Selection and consensus models with linguistic information
• Combining Heterogeneous Information in Decision Making
• Multi-Level Fusion for Decision Making
• Large Scale Decision Making
• Fusing Linguistic Information in Decision Making
• Intelligent Decision Support Systems
• Dynamic Decision Making
• Context-Based Information Fusion
• Fusion in Networked Systems
• Linguistic decision making in Engineering evaluation, resource management and transfer, industry applications, sensory evaluation, evaluation and recommendation, investments applications and risk assessment,…

Important dates

• Submission Deadline: 15th January 2016
• Notification Acceptance: 15th March 2016
• Final paper submission deadline: 15th April 2016

Procedure for paper formatting should be followed as specified on the WCCI’2016 website.
Submitted papers for this Special Session should be uploaded from the website provided for uploading and choose in Main Research Topic the choice SS33 Information Fusion and Fuzzy Linguistic Decision Making.

Short biography of the organizers

Luis Martínez received the M.Sc. and Ph.D. degrees in Computer Sciences, both from the University of Granada, Spain, in 1993 and 1999, respectively. Currently, he is Full Professor of Computer Science Department and Head of ICT Research Centre at the University of Jaén. His current research interests are linguistic preference modeling, decision making, fuzzy logic based systems, computer aided learning, sensory evaluation, recommender systems and electronic commerce. He co-edited nine journal special issues on fuzzy preference modelling, soft computing, linguistic decision making and fuzzy sets theory and published more than 70 papers in journals indexed by the SCI as well as 30 book chapters and more than 120 contributions in International Conferences related to his areas.
He is member of the European Society for Fuzzy Logic and Technology, IEEE. Co-Editor in Chief of the International Journal of Computational Intelligence Systems and an Associated Editor of the International Journal of Fuzzy Systems and serves as member of the journal Editorial Board of the Journal of Universal Computer Sciences and the Scientific World Journal. He received the IEEE TRANSACTIONS ON FUZZY SYSTEMS Outstanding 2008, 2012 Paper Award (bestowed in 2011 and 2015 respectively). And he is Guest Professor in the Southwest Jiaotong University and honourable professor in Xihua University both in Chengdu (China).

Rosa M. Rodríguez received the M.Sc. and Ph.D. degrees in Computer Sciences, both from the University of Jaén, Spain, in 2008 and 2013, respectively. Currently is Post-doc researcher in the in the Department of Computer Science and Artificial Intelligence at the University of Granada. Her current research interests are decision making, fuzzy logic based systems, computing with words, hesitant fuzzy sets. She has published 15 papers in journals indexed by the SCI and more than 20 contributions in International Conferences related to her areas. She has been post doc researcher in TU Wien (TUW). She is member of the European Society for Fuzzy Logic and Technology. Also she is Editor assistant of the International Journal of Computational Intelligence Systems, and Area Editor of the International Journal of Fuzzy Systems. She received the IEEE TRANSACTIONS ON FUZZY SYSTEMS Outstanding 2012 Paper Award (bestowed in 2015).

Francisco Herrera received the M.Sc. degree in Mathematics in 1988 and the Ph.D. degree in Mathematics in 1991, both from the University of Granada, Spain. He is currently a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada. He has published more than 250 papers in international journals. He currently acts as Editor in Chief of the international journal “Progress in Artificial Intelligence (Springer). He acts as an area editor of the International Journal of Computational Intelligence Systems and associated editor of the journals: IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge and Information Systems, Advances in Fuzzy Systems, and International Journal of Applied Metaheuristics Computing; and he serves as a member of several journal editorial boards, among others: Fuzzy Sets and Systems, Applied Intelligence, Information Fusion, Evolutionary Intelligence, International Journal of Hybrid Intelligent Systems, Memetic Computation, and Swarm and Evolutionary Computation. He received the following honors and awards: ECCAI Fellow 2009, IFSA Fellow 2013, 2010 Spanish National Award on Computer Science ARITMEL to the “Spanish Engineer on Computer Science”, International Cajastur “Mamdani” Prize for Soft Computing (Fourth Edition, 2010), IEEE Transactions on Fuzzy System Outstanding 2008,2012 Paper Award (bestowed in 2011 and 2015 respectively), and 2011 Lotfi A. Zadeh Prize Best paper Award of the International Fuzzy Systems Association, and 2013 AEPIA Award to a scientific career in Artificial Intelligence (September 2013). His current research interests include genetic fuzzy systems, computing with words and decision making, bibliometrics, data mining, data preparation, instance selection, fuzzy rule based systems, knowledge extraction based on evolutionary algorithms, cloud computing and big data

Contact Information

Name: Luis Martínez
Email address: martin@ujaen.es
Affiliation: Department of Computer Science, University of Jaén.

Name: Rosa M. Rodríguez
Email address: rosam.rodriguez@decsai.ugr.es
Affiliation: Department of Computer Science and Artificial Intelligence, University of Granada.

Name: Francisco Herrera
Email address: herrera@decsai.ugr.es
Affiliation: Department of Computer Science and Artificial Intelligence, University of Granada.