Fuzzy Cognitive Maps, Extensions and Applicability as an Explanatory Artificial Intelligence Model¶

Ruiz, Y.M., Piñero Pérez, P.Y., Pérez Pupo, I., García Vacacela, R., Al-Subhi, S.H.S. (2024). Fuzzy Cognitive Maps, Extensions and Applicability as an Explanatory Artificial Intelligence Model. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_2

Abstract

The growth of the prediction capabilities of deep neural networks constitutes one of the elements that has allowed the generalization of these models to dissimilar problems. But in the particular case of decision-making in project management, in addition to the quality of the prediction, it is necessary to know the explanation of the responses. This aims to increase the confidence of the systems in decision-making and agility in project management. The explanation of the answers is also important during project cuts, a process that manifests itself as a multistage sequential decision-making problem. In this research, it is proposed to explore the potential of fuzzy cognitive maps and their extensions, considering the potential of these techniques to represent causal relationships. To carry out this work, a conceptual theoretical framework is developed based on a systematic review. It is identified that there are insufficiencies in the research reported in the bibliography consulted regarding the treatment of indeterminacy and the solution of decision-making problems in project managemen

Conversational Systems and Computational Intelligence, A Critical Analysis

Mir, Y.O.V., Piñero Pérez, P.Y., Pupo, I.P., Acuña, L.A., Pérez, R.B. (2024). Conversational Systems and Computational Intelligence, A Critical Analysis. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_1

Abstract

The increase in research on conversational systems and their applications, constitutes the main motivation of this work. In this research, a critical analysis of the growth of smart chatbots and their combination with computational intelligence techniques is carried out. The analysis is oriented on three fundamental fronts. First, a review protocol is applied to identify the main schools and centers of knowledge. Then the conversational systems are characterized based on the level of inclusion of artificial intelligence techniques. Finally, the integration of conversational systems with different computational intelligence techniques is reviewed. The analysis identifies that there are many opportunities and lines open to research. In particular, the need to strengthen the application of neutrosophic theory and sets for the evaluation of conversations is identified. Also, the need to combine linguistic data summarization techniques and reinforcement learning is identified to improve training methods and reduce the computational cost of conversational systems responses.

Computational Intelligence Applied to Decision-Making in Uncertain Environments

• Pérez, P. Y. P., Pupo, I. P., Kacprzyk, J., & Pérez, R. E. B. (Eds.). (2025). Computational Intelligence Applied to Decision-Making in Uncertain Environments. Springer Nature Switzerland

http://cidiia.uce.edu.do/projects/cidiia-noticias/wiki/Computational_Intelligence_Applied_to_Decision-Making_in_Uncertain_Environments_(2025)_Springer

This book is dedicated to all those interested in the application of computational intelligence techniques for decision-making in uncertain environments. The book is organized into four parts. The first part groups together four works related to conversational systems and decision-making using generative artificial intelligence. The second part includes four articles associated with decision-making in project-oriented environments. The third part includes three works related to decision-making in human health environments and decision-making in sports training. The fourth part of the book contains three articles associated with business decision-making.

This book combines different artificial intelligence techniques for solving decision-making problems, among which the following stand out: generative artificial intelligence, linguistic data summarization techniques, neutrosophic theory, computing with words, among other techniques. The techniques proposed in the book aim to simulate human tolerance in decision-making processes in environments with uncertainty and imprecision.

The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Pedro Y. Piñero Pérez, Iliana Pérez Pupo, Janusz Kacprzyk, and Rafael E. Bello Pérez have published several books associated with artificial intelligence and applied computational intelligence. They continue to work on fundamental and applied research on different artificial intelligence techniques to assist decision-making in different areas of knowledge.

The authors thank all the engineers, professors, and researchers without whose efforts this book could not have been written.

h2 Computational Intelligence in Engineering and Project Managemen (2024) Springer

• Pérez, P. Y. P., Kacprzyk, J., Pérez, R. B., & Pupo, I. P. (Eds.). (2024). Computational Intelligence in Engineering and Project Management. Springer. https://doi.org/10.1007/978-3-031-50495-2

This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management.

In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the application and extension of computational intelligence

The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making.

The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge.

Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written.

http://cidiia.uce.edu.do/projects/cidiia-noticias/wiki/Computational_Intelligence_in_Engineering_and_Project_Managemen_(2024)_Springer

El II Simposio Internacional de Inteligencia Artificial y Robótica a desarrollarse en la Convención de Informática 2026.

Publicará una selección de trabajos según su temática y en alguno de los siguientes espacios:

- La Serie Studies in Computational Intelligence, https://link.springer.com/series/7092 indexada Scopus en el libro “Computational intelligence in Generative Artificial Intelligence”

- La revista Neutrosophic Sets and Systems indexada en Scopus and Emerging Web of Science. https://fs.unm.edu/nss8/index.php/111

- La Revista AIAS Artificial Intelligence and Applied Sustainability https://aias.uce.edu.do

Es una excelente oportunidad para que investigadores nacionales y foráneos compartan sus experiencias.

https://www.informaticahabana.cu/en_GB/evento-6¶

#IADES, #CIDIIA, #AIAS, #ArtificialIntelligence, #SportsAI

II Simposio Internacional de Inteligencia Artificial y Robótica

🔗 ENLACE AL EVENTO SIIAR’26

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Comparto este evento académico internacional sobre Inteligencia Artificial y Robótica, difundido por donde se abordarán temas de alto impacto en ciencia, tecnología y sociedad. Los invito a revisar el programa de ponencias y participar.

🎥 Este es el primer video que publico aquí en LinkedIn. Usualmente comparto mis contenidos por Instagram, pero desde ahora también estaré activa por esta red para seguir difundiendo temas de IA, derecho y transformación digital.

💬 Pueden seguir viendo más contenido y unirse a mi comunidad desde aquí mismo. Invitación a la comunidad https://lnkd.in/eFNxQ_9m

También pueden escribirme si desean más información sobre el evento o sobre los temas que vamos trabajando desde IA - NINA Tech.

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Yarina Amoroso Fernández ✍️

https://www.informaticahabana.cu/en_GB/evento-6¶

#SIIAR26, #InteligenciaArtificial, #Robótica, #TransformaciónDigital, #DerechoTecnológico, #Innovación, #IA, #Tecnología, #IANNINATED

#AIAS, #IADES, #CIDIIA, #ArtificialIntelligence,

II SIIAR'26, II International Symposium on Artificial Intelligence and Robotics

Informatics Convention 2026

March 24-27, 2026, Havana, Cuba

https://www.informaticahabana.cu/en_GB/evento-6¶

The Havana Informatics Convention invites Artificial Intelligence professionals, researchers, and developers to Havana, Cuba

ORGANIZING COMMITTEE:

• CHAIR: Dr. Rafael Bello Pérez (TWAS Member), Director of the Informatics Research Center, Marta Abreu Central University of Las Villas, rbello@uclv.edu.cu

• VICE CHAIR: Dr.C. ​Pedro Yobanis Piñero Pérez , Executive Director IADES, Center for Research, Development and Innovation in Artificial Intelligence CIDIIA UCE, pppyob@gmail.com , iades.advisor@gmail.com , (+53) 55665564

EXECUTIVE SECRETARIES

• Dr. C Yaile Caballero Mota (TWAS Member), Director of International Relations, University of Camagüey, yaile.caballero@reduc.edu.cu, ycaballeromota@gmail.com

• Dr. C. Orestes Llanes Santiago, Professor Emeritus, José Antonio Echeverría Technological University of Havana, CUJAE, oresteslls@gmail.com

KEYNOTE CONFERENCES

• Trends in Artificial Intelligence: Transforming Creativity and Industry.

• Collaborative robotics: the future of industrial automation.

• Ethics in artificial intelligence: challenges and solutions.

TOPICS OF INTEREST

• Generative Artificial Intelligence Applications, Intelligent Agents.

• Trustworthy Artificial Intelligence (Trust AI), Digital Ethics, Explanatory Artificial Intelligence (XAI) and Explainable Machine Learning (XML), impacts on Education.

• Collaborative robotics and industrial automation. Industry 4.0, IoT , and robotics.

• Artificial Intelligence Applications in Health, Sports, Tourism, Quality of Life, Social Communication, Energy, Agriculture, Food, and the Environment.

• Applications of Computational Intelligence: Softcomputing , Computing with words, Approximate sets, Neutrosophy , Linguistic Data Summarization ,

• Metaheuristic applications and optimization methods for decision support.

IMPORTANT DATES

• Presentation of papers: November 14, 2025

• Acceptance Notification: December 5, 2025

• Submission of final work for publication: January 9, 2026

*PANELS AND ROUND TABLES

• AI in healthcare: artificial intelligence-assisted diagnosis and treatment.

• Collaborative robotics: applications in Industry 4.0.

• Ethics and governance in Artificial Intelligence.

• Applications of Artificial Intelligence

PUBLICATION OF PAPERS

• Papers will be double-blind peer-reviewed, and their acceptance will be subject to evaluation by the Scientific Committee for each thematic workshop. A selection of the papers will be included as post-event publications in the "Studies in Computational Intelligence" (SCI) Series indexed by Scopus .

• Other selected works may be published in the journals: “AIAS Artificial Intelligence and Applied Sustainability ” and Neutrosophic Computing and Machine Learning (NCML), indexed by COPERNICUS and EBSCO. The remaining papers will be published in the proceedings of the Informatics Convention 2026.

SCIENTIFIC COMMITTEE

• Dr. C. María Matilde García Lorenzo (UCLV)
• Dr.C. ​Iliana Pérez Pupo (IADES, UCE)
• Dr. C. Julio Madera Quintana (UC)
• Dr.C. ​Deborah Raquel Galpert Cañizares (UCLV)
• Dr.C. ​Daniel Gálvez Lio (UCLV)
• Dr.C. ​Yoan Martínez López (UC)
• Dr. C. Yeleny Zulueta Véliz (UCI)
• Dr. C. Juan Antonio Placencia Soler ( UCI)
• Dr.C. ​Carlos Rafael Rodríguez Rodríguez (ICU)
• Dr.C. ​Marieta Peña Abreu (ICU)
• Dr. C. Armando Pérez Fuentes (UCI)
• MSc . Yarina Amoroso Fernández (ICU)
• MSc . Yunieski Vasconcelo Mir (XETID)
• Dr. C. Alina Ruiz Jhones (UH)
• Dr.C.​ Yudivian Almeida Cruz (UH)
• Dr. C. Suilan Estevez -Velarde (UH)
• Dr. C. Milton García Borroto (UH)
• Dr.C. ​Alejandro Lage Castellanos (UH)
• Dr.C. ​Alejandro Piad Morffis (UH)
• Dr. C. Oscar Julián Villar Barroso (UH)
• MSc. - Daisy Viviana Barroso Mederos (Joven Club)
• MSc.- Yenin Calderin Abad (Joven Club)
• Dr. José Carlos del Toro Ríos (MFP)
• Dr. C. Bárbaro Nicolás Socarras Hernández ( TsDIMED )
• Dr.C.​ Heidy Méndez Vázquez (CENATAV)
• Dr.C.​ Dionis López Ramos (UO)
• Dr.C. ​Fernando José Artigas Fuentes (UO)
• Dr. C. Jenny Ruiz de la Peña (UHO)
• Dr. C. Alfredo Simón Cuevas (CUJAE)
• Dr.C. ​Lisandra Bravo Ilisástigui (CUJAE)
• Dr. C. Mirelys Torres Pérez (ULT)
• Dr.C.​ Julio Alfredo Telot González (UM)
• MSc . Grisel E. Reyes León (AICROS)
• MSc . Alfredo Rodríguez Díaz (SCM)
• Dr.C. ​Alejandro Rosete Suárez (AVANGENIO)
• Dr.C.​ Yusniel Hidalgo Delgado (DATALISOFT)
• Dr.C. ​Carlos Ramón López Paz (EMSI FARMA)
• Dr. C. Alfredo Quintana Díaz (CIDC)
• Dr. C. Rolando Palacios Pulgarón (ESFAAR)
• Dr. C. Melix Ilisastigui Avilés (INDER)
• Dr.C. ​Luis Hernández Santana (UCLV)
• Ing. Lexy Gaspar Cárdenas (Joven Club)

https://www.informaticahabana.cu/en_GB/evento-6¶

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Punta Cana, República Dominicana¶

Temáticas asociadas a la Ingeniería y la Gestión de Proyectos¶

*Ingeniería de Proyectos, experiencias, casos y aplicaciones: Proyectos de Ingeniería, Energías Renovables, Minería, Ciencias de la Vida, Sostenibilidad Alimentaria, Gestión de la Innovación, Desarrollo Local, Educación,
Transformación Digital, Logística y Emprendimiento.

• BIM. Concepto, modelado, simulación y herramientas específicas. Aplicación en la gestión de Inversiones, Buenas prácticas, experiencias y casos de aplicación.

• Metodologías ágiles aplicadas a los proyectos, experiencias y buenas prácticas en Fast Track Projects, Last planner, Scrum y otros métodos ágiles.

• Organizaciones Orientadas a Proyectos, Planificación Estratégica, Gestión de Proyectos, Programas y Portafolios: buenas prácticas, oficinas de gestión de proyectos, técnicas y herramientas de las áreas de conocimiento de la gestión de proyectos: alcance, tiempo, calidad, costos, recursos, riesgos, recursos humanos, adquisiciones, partes interesadas, integración, sostenibilidad y viabilidad.

• Recursos humanos y liderazgo, formación en gestión de proyectos: gestión por competencias, habilidades blandas, gestión de conflictos y liderazgo, programas de formación profesional. Nuevos métodos de enseñanza-aprendizaje, programas de formación de grado y posgrado. Formación profesional en arquitectura, gestión de proyectos e ingeniería. Experiencias

Punta Cana, República Dominicana
13 al 15 noviembre del 2024

La Universidad Central del Este (UCE), la Universidad Tecnológica (ECOTEC), el Ministerio de Educación Superior, Ciencia y Tecnología (MESCyT), la Universidad de Especialidades de Espíritu Santos, el Tecnológico Universitario ARGOS en colaboración con el Centro de Investigación Desarrollo e Innovación en Inteligencia Artificial (CIDIIA), la Sociedad y Comunidad de Inteligencia Artificial para el Desarrollo Sostenible (IADES) y la Red Iberoamericana de Ingeniería de Proyectos RIIPRO, convocan a profesionales vinculados a actividades de investigación y desarrollo en los campos de la Inteligencia Artificial, Ciencias Neutrosóficas, la Ingeniería y Gestión de Proyectos y la Sostenibilidad,

Temáticas asociadas a la Inteligencia Artificial¶

• Inteligencia Artificial Generativa: Modelos LLM, modelos de lenguaje de gran tamaño. Modelos LAM, modelos orientados a acciones. Arquitecturas de sistemas conversacionales

• Inteligencia computacional, softcomputing, toma de decisiones bajo incertidumbre, experiencias y aplicaciones. Sistemas de inferencia borrosos y neuroborrosos. Neutrosofía y Conjuntos Neutrosóficos.

• Inteligencia Artificial en la Educación: tutoriales Inteligentes, impacto de la Inteligencia Artificial en la Educación, nuevas tecnologías de la Inteligencia Artificial en la formación del profesional. Experiencias y enfoques Innovadores en la aplicación de la Inteligencia Artificial en la Educación.

• Destinos Turísticos Inteligentes, gestión sostenible de la innovación, vista integrada de gobernanza, tecnología, innovación, accesibilidad y sostenibilidad.

• Ética Digital, Responsabilidad Social y Ambiental. Casos, Experiencias, Emprendimiento y Enfoques Innovadores, Proyectos de Desarrollo Local Resiliencia y Sostenibilidad.

• Inteligencia Artificial Sostenible: IA aplicada a la gestión ágil de portafolios, programas y proyectos, experiencias y aplicaciones en las energías renovables y el desarrollo sostenible. Inteligencia Artificial aplicada al Deporte y la Calidad de Vida.

• Aprendizaje Automático y Metaheurísticas: Aprendizaje profundo (Deep Learning)., Aprendizaje por refuerzo (Reinforcement Learning), Aprendizaje supervisado. Aprendizaje no supervisado, Aprendizaje semisupervisado,

• Aprendizaje multi-tarea. Metaheurísticas y Computación Evolutiva.

• Ciencias neutrosóficas, NeutAlgebra, NeutGeometry and applications