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LGDM Approaches and Models: A Literature Review

  • Iván Palomares Carrascosa
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

Once the foundations and main considerations for Large Group Decision Making have been set out, this chapter provides a comprehensive literature review of most of its related works in the scientific literature to date. The reviewed studies are categorized into subgroup clustering methods, Large Group Decision Making methods (for preference aggregation and weighting), consensus approaches, behavior management and modeling methodologies, and theory/interdisciplinary approaches.

Notes

Acknowledgments

The author and contributors of this chapter would like to thank those colleagues across the LGDM and related scientific communities who willingly shared their original graphical material during the elaboration of the literature survey, specially to: Yucheng Dong (Sichuan University, China), Bingsheng Liu (Chongqing University, China), Victoria López (Complutense University of Madrid, Spain), Ramón Soto (Sonora University, Mexico), Xunjie Gou and Francisco Herrera (University of Granada, Spain), Ashish Goel and David T. Lee (Stanford University, US).

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Authors and Affiliations

  • Iván Palomares Carrascosa
    • 1
  1. 1.School of Computer Science (SCEEM)University of BristolBristolUK

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