A web-based group decision support system for multicriteria ranking problems
| Autor: | Juan Carlos López, Diego Alonso Gastélum Chavira, Pavel Anselmo Álvarez Carrillo, Jesús Jaime Solano Noriega |
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| Rok vydání: | 2016 |
| Předmět: |
Numerical Analysis
Decision support system Mathematical optimization 021103 operations research Operations research business.industry Strategy and Management 0211 other engineering and technologies Computational intelligence 02 engineering and technology Management Science and Operations Research Fuzzy logic Consistency (database systems) Computational Theory and Mathematics Ranking Asynchronous communication Management of Technology and Innovation Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Web application 020201 artificial intelligence & image processing Statistics Probability and Uncertainty business Advice (complexity) Mathematics |
| Zdroj: | Operational Research. 17:499-534 |
| ISSN: | 1866-1505 1109-2858 |
| DOI: | 10.1007/s12351-016-0234-0 |
| Popis: | In this paper, we present an implemented, web-based multicriteria group decision support system for solving multicriteria ranking problems by a collaborative group of decision-makers in sequential or parallel coordination mode and in a distributed and asynchronous environment. This system employs an order-based consensus model for collaborative groups that moves from consistency to consensus. The system is based on consensus measures and it has been designed to provide advice to the decision-makers to increase group consensus level while maintaining the individual consistency of each decision-maker. It is based on the use of fuzzy outranking relations to model individual and group preferences. For the exploitation of the models—formulated as a multiobjective optimization problem and solved with a multiobjective evolutionary algorithm—the system generates advice on how decision-makers should change their preferences to reach a ranking of alternatives with a high degree of consistency and consensus. |
| Databáze: | OpenAIRE |
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