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Information Aggregation Approaches for Multi-criteria Applications

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Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 420))

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Abstract

The effective use of multi-criteria techniques in specific applications will depend on relevant available data. Often such data arises from several various sources, and it is then typically desirable to aggregate some of this data before use as this could reduce computational complexity. Additionally such data frequently involves uncertainty, and this must be considered in the aggregation. Aggregation approaches ranging from possibilistic conditioning to probability and possibility transformations can be used to produce homogenous representations (probability or possibility) for aggregations. Here we review several approaches to uncertainty aggregation that apply to multi-criteria systems. Additionally, we consider approaches to evaluate the uncertainty of the aggregation to provide guidance of the use of the aggregated data for multi-criteria applications.

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Acknowledgements

Petry would like to thank the Naval Research Laboratory’s Base Program for sponsoring this research.

Author information

Authors and Affiliations

  1. Naval Research Lab, Center for Geospatial Sciences, Stennis Space Center MS, New Rochelle, NY, USA

    Frederick Petry

  2. Machine Intelligence Institute, Iona College, New Rochelle, NY, USA

    Ronald R. Yager

Authors
  1. Frederick Petry
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  2. Ronald R. Yager
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Corresponding author

Correspondence to Frederick Petry .

Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, Raiganj University, Raiganj, West Bengal, India

    Laxminarayan Sahoo

  2. School of Mathematics and Statistics, Southwest University, Chongqing, China

    Tapan Senapati

  3. Iona College, Machine Intelligence Institute, New Rochelle, NY, USA

    Ronald R. Yager

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Petry, F., Yager, R.R. (2023). Information Aggregation Approaches for Multi-criteria Applications. In: Sahoo, L., Senapati, T., Yager, R.R. (eds) Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain. Studies in Fuzziness and Soft Computing, vol 420. Springer, Singapore. https://doi.org/10.1007/978-981-19-4929-6_9

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