Generating consensus priority point vectors: a logarithmic goal programming approach
Computers and Operations Research
Declared-strategy voting: an instrument for group decision-making
Declared-strategy voting: an instrument for group decision-making
Group prioritization in the AHP by fuzzy preference programming method
Computers and Operations Research
Modifying inconsistent comparison matrix in analytic hierarchy process: A heuristic approach
Decision Support Systems
Expert Systems with Applications: An International Journal
Software project effort estimation with voting rules
Decision Support Systems
The Analytical Hierarchy Process for contaminated land management
Advanced Engineering Informatics
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
Environmental Modelling & Software
Soft computing of the Borda count by fuzzy linguistic quantifiers
Applied Soft Computing
A web-based multi-perspective decision support system for information security planning
Decision Support Systems
Hybrid assessment method for software engineering decisions
Decision Support Systems
Selection of new production facilities with the Group Analytic Hierarchy Process Ordering method
Expert Systems with Applications: An International Journal
An analytic hierarchy process for assessing externalities in water leakage management
Mathematical and Computer Modelling: An International Journal
An approach to AHP decision in a dynamic context
Decision Support Systems
Putting Dominance-based Rough Set Approach and robust ordinal regression together
Decision Support Systems
Synthesis of individual best local priority vectors in AHP-group decision making
Applied Soft Computing
Including social factors in an argumentative model for Group Decision Support Systems
Decision Support Systems
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The social choice (SC) theory is in close relation with multicriteria decision-making (MCDM), especially in group decision contexts. SC theory includes various voting systems while MCDM is represented by utility and outranking methods; among utility models, the analytic hierarchy process (AHP) is probably the most popular in group decision support. In this paper, we investigate two possible contexts in modeling decentralized decision problems in water management. The first is based on AHP only and two group aggregation techniques. The second one assumes the AHP application in subgroups, while at a group level, aggregation is performed by the SC voting procedures. Comparative analyses show good agreement of the results when two methodologies are applied as the decision support to the water committee of the San Francisco river basin in Brazil. The second methodology (called AHP+SC) is considered more promising for implementation in real-decision situations in water management.