A collaborative platform for cognitive decision making in the Knowledge Society

  • Authors:
  • José MaríA Moreno-JiméNez;Juan AguaróN;JesúS CardeñOsa;MaríA Teresa Escobar;José Luis Salazar;AdriáN Toncovich;Alberto TuróN

  • Affiliations:
  • Grupo Decisión Multicriterio Zaragoza, Universidad de Zaragoza, Spain;Grupo Decisión Multicriterio Zaragoza, Universidad de Zaragoza, Spain;Validation and Business Applications Research Group, Universidad Politécnica de Madrid, Spain;Grupo Decisión Multicriterio Zaragoza, Universidad de Zaragoza, Spain;Grupo Tecnología de las Comunicaciones, Universidad de Zaragoza, Spain;Grupo Decisión Multicriterio Zaragoza, Universidad de Zaragoza, Spain;Grupo Decisión Multicriterio Zaragoza, Universidad de Zaragoza, Spain

  • Venue:
  • Computers in Human Behavior
  • Year:
  • 2012

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Abstract

Two key aspects of the Knowledge Society are the interconnection between the actors involved in the decision making processes and the importance of the human factor, particularly the citizen's continuous learning and education. This paper presents a new module devoted to knowledge extraction and diffusion that has been incorporated into a previously developed decision making tool concerning the Internet and related with the multicriteria selection of a discrete number of alternatives (PRIOR-Web). Quantitative and qualitative procedures using data and text mining methods have been employed in the extraction of knowledge. Graphical visualisation tools have been incorporated in the diffusion stage of the methodological approach suggested when dealing with decision making in the Knowledge Society. The resulting collaborative platform is being used as the methodological support for the cognitive democracy known as e-cognocracy.