Yeleny Zulueta Véliz

ORCID: 0000-0003-0253-528X
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About
Contact & Profiles
Research Areas
  • Multi-Criteria Decision Making
  • Rough Sets and Fuzzy Logic
  • E-Learning and Knowledge Management
  • Software Engineering Techniques and Practices
  • Optimization and Mathematical Programming
  • Natural Language Processing Techniques
  • Advanced Research in Systems and Signal Processing
  • Diverse Applied Research Studies
  • Cognitive Science and Mapping
  • Engineering and Information Technology
  • Organizational Management and Innovation
  • Environmental and Social Impact Assessments
  • Fuzzy Systems and Optimization
  • Higher Education and Sustainability
  • Environmental and Ecological Studies
  • Automated Road and Building Extraction
  • Public Health and Environmental Issues
  • Cognitive Computing and Networks
  • Knowledge Management in Higher Education
  • Safety Systems Engineering in Autonomy
  • Maritime Ports and Logistics
  • Digital and Cyber Forensics
  • Remote-Sensing Image Classification
  • Fuzzy Logic and Control Systems
  • Technical Engine Diagnostics and Monitoring

University of Information Science
2013-2025

Institute of Informatics of the Slovak Academy of Sciences
2025

District University of Bogotá
2015

To contribute to SDG-15 about the conservation of terrestrial ecosystems, effective management land resources is required. In this respect, determining use and cover (LUC) based on remote sensing constitutes a strength. For Arimao watershed in province Cienfuegos Cuba, main difficulty LUC related topographic correction mountains Trinidad. This study aims validate effectiveness seven methods using classification accuracy as criterion. purpose, mountain area was cut out Landsat-8 OLI image...

10.3390/rs17061032 article EN cc-by Remote Sensing 2025-03-15

<title>Abstract</title> The main stream of Linguistic Data Summarization involves modeling numerical attributes using linguistic variables, which makes it difficult addressing real-world problems with qualitative or mixed data. Literature highlights challenges such as the limited expressiveness summaries from classical protoforms, need to explore relationships between them find more useful patterns and refining language improve their interpretability usefulness. latter is increasingly...

10.21203/rs.3.rs-5717639/v1 preprint EN Research Square (Research Square) 2025-04-16

While Multi-Criteria Decision Making (MCDM) models are focused on selecting the best alternative from a finite number of feasible solutions according to set criteria, in Dynamic (DMCDM) selection process also takes into account temporal performance such alternatives during different time periods. In this paper new discrete variable index is proposed, handling differences behavior alternatives, which not discriminated preceding dynamic approaches, considering rating-based perspectives for...

10.1142/s0218488514500019 article EN International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 2014-02-01

Projects and industrial activities developed by human beings generally affect their surroundings. For this reason, the efficacy of Environmental Impact Significance Assessment (EISA) method is increasingly demanded. There are multiple criteria involved in EISA problems that interact each other may have either quantitative or qualitative nature. Classical approaches for not efficient managing uncertainty different types information, results obtained numerical values difficult to interpret....

10.3808/jei.201700358 article EN Journal of Environmental Informatics 2017-01-01

La selección de proveedores verdes tiene como objetivo la elección del mejor proveedor, entre varias alternativas, teniendo en cuenta no solo criterios tradicionales el costo y calidad servicio o producto, sino considerando también capacidad producir estos productos servicios cumpliendo estándares regulaciones ambientales con menor impacto medio ambiente. En contextos reales verde, ocasiones basta una única evaluación estática los se necesita considerar evolución diferentes momentos por...

10.15446/dyna.v84n202.58032 article ES cc-by-nc-nd DYNA 2017-07-01

The dynamic multicriteria decision-making is focus on select the best alternative according to valuations of several criteria provided at multiple periods, therefore time dimension considered in solving process. In this work a decision making method proposed which applied based associative aggregation operators mechanism model different behaviors or viewpoints makers. consists four algorithms that enclose main phases solution problem: calculate static and evaluations alternatives, discrete...

10.1109/tla.2016.7786310 article EN IEEE Latin America Transactions 2016-10-01

Student satisfaction provides a students' perception of their educational experiences in an setting. As online learning is growing, institutions and instructors have become more interested knowing what factors influence This study presents novel approach for evaluating postgraduate courses through fuzzy linguistic computing with words which addresses. Our models the as variable reflects perceptual nature this concept; it evaluation multi-attribute decision-making problem; gathers perceptions...

10.4018/ijec.304380 article EN International Journal of e-Collaboration 2022-07-08

Managing the Performance Evaluation Process plays a leading role in ensuring efficient business entities. At University of Information Sciences is performed through indicators established models that are reflected skills workers. However, it not possible to report on their behaviour, nor have techniques for help making decisions evaluations. This paper describes solution problem from computerization which there was coded Web application using PHP where an inference engine implemented...

10.18687/laccei2015.1.1.136 article EN 2015-01-01

Classical methods for Environmental Impact Significance Assessment are not efficient on handle heterogeneous information and they obtain numerical outputs of low interpretability. In this contribution we propose a novel approach EISA based fuzzy linguistic models. It provides flexible evaluation framework in which experts can supply their preferences using different domains applies an aggregation process 2-tuples computational model to interpretable significance values.

10.1109/icmlc.2013.6890872 article EN International Conference on Machine Learning and Cybernetics 2013-07-01
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