A5064281926- Multi-Criteria Decision Making
- Optimization and Mathematical Programming
- Forest Management and Policy
- Economic and Environmental Valuation
- Game Theory and Voting Systems
- Water resources management and optimization
- Advanced Algebra and Logic
- Forest Biomass Utilization and Management
- Optimization and Variational Analysis
- Environmental Impact and Sustainability
- Sustainable Development and Environmental Policy
- Bayesian Modeling and Causal Inference
- Decision-Making and Behavioral Economics
- Efficiency Analysis Using DEA
- Rough Sets and Fuzzy Logic
- Fuzzy Systems and Optimization
- Chronic Disease Management Strategies
- Vehicle Routing Optimization Methods
- Constraint Satisfaction and Optimization
- Business, Innovation, and Economy
- Advanced Computational Techniques and Applications
- Advanced Topology and Set Theory
- BIM and Construction Integration
- Sustainable Industrial Ecology
- Sustainable Building Design and Assessment
Universidad Politécnica de Madrid
2014-2024
Universidade Estadual Paulista (Unesp)
2020
Laboratoire d'Informatique de Paris-Nord
2004
Nowadays most forest management problems require the integration of multiple criteria, at same time as considering points view several stakeholders with different perceptions predefined criteria. As part this theoretical orientation, a recent method for aggregating individual preferences expressed through pairwise comparison matrices has been adapted and applied in paper to elicit social weights context problem. The was two public forests Spain. Four objectives were considered be relevant...
Abstract Within a multi-criteria perspective goal programming (GP) is the most widely used approach for addressing forest management problems of continuous nature. A key element GP model achievement function. Each type function supported by very precise structure decision-makers' preferences. However, in many applications reported literature, chosen without justifying reasons its election. right election crucial matter if we want to capture essential features reality analysed. In coherence...
We present an approach based on several quantitative techniques to derive a ranking of sustainable Eucalyptus plantations. A list indicators was defined and applied set heterogeneous globulus plantations located in the northwest Spain. These were aggregated into synthetic index with help binary goal programming model. This model has been fed responses 45 stakeholders find out preferential weights targets attached each indicator. In addition, we have analyzed causes behind level...
The sustainable management of the environment and its embedded resources is one most important, if not major challenge 21st century, which demands from current science technology development a scientifically sound conceptual framework that implementable an operational point view for properly tackling this important complex topic [...]
Abstract In this paper a collective choice function (CCF), formulated within p ‐metric distance framework, is proposed as generator of several compromise consensuses. Even though, the CCF not smooth, it however demonstrated that can be straightforwardly transformed into easily computable goal programming models. Finally, cases individual preferences aggregation are obtained by providing different interpretations parameters: ordinal and complete information, partial information cardinal case...