IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i4p1633-1645.html
   My bibliography  Save this article

Incomparable: what now II? Absorption of incomparabilities by a cluster method

Author

Listed:
  • Rainer Bruggemann
  • Lars Carlsen

Abstract

When newer compilations of decision support methods are examined, partial order methods as a central methodological aspect are rarely found. This is strange, since the role of multi-indicator systems is worldwide increasing. Multi-indicator systems induce in a natural manner partial orders. Why is partial order not seen as that important tool? The main reason appears to be that partially ordered sets are in general not completely ordered. There are incomparabilities, and incomparabilities do not lead to rankings. Thus, incomparabilities a priori hamper any decision. Approaching the decision from the need to get a unique ranking, it is clear that decision support systems aim toward deriving a one-dimensional scalar, by which a linear, i.e. a unique order can be derived. In the present paper an approach is selected to reduce the number of incomparabilities without losing the quality of insights, partially ordered sets allow. As an example economical relevant chemicals are studied. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Rainer Bruggemann & Lars Carlsen, 2015. "Incomparable: what now II? Absorption of incomparabilities by a cluster method," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1633-1645, July.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1633-1645
    DOI: 10.1007/s11135-014-0076-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-0076-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-014-0076-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Marco Fattore, 2007. "Hasse diagrams, poset theory and fuzzy poverty measure," Working Papers 20071104, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica, revised Nov 2007.
    2. Marco Fattore, 2008. "Hasse Diagrams, Poset Theory and Fuzzy Poverty Measures," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(1), pages 63-75.
    3. Paola Annoni & Marco Fattore & Rainer Brüggemann, 2008. "A multi-criteria fuzzy approach for analyzing poverty structure," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1072, Universitá degli Studi di Milano.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan W. Owsiński, 2018. "Is There Any ‘Law of Requisite Variety’ in Construction of Indices for Complex Systems?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1125-1137, April.
    2. Lars Carlsen, 2017. "An Alternative View on Distribution Keys for the Possible Relocation of Refugees in the European Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 1147-1163, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Fattore & Filomena Maggino, 2018. "Some Considerations on Well-Being Evaluation Procedures, Taking the Cue from “Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 83-91, May.
    2. Frauke Fuhrmann & Margit Scholl & Rainer Bruggemann, 2018. "How Can the Empowerment of Employees with Intellectual Disabilities Be Supported?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1269-1285, April.
    3. Flavio Comim, 2021. "A Poset-Generalizability Method for Human Development Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1179-1198, December.
    4. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    5. Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
    6. Alberto Arcagni & Elisa Barbiano di Belgiojoso & Marco Fattore & Stefania M. L. Rimoldi, 2019. "Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 551-579, January.
    7. Marco Fattore & Alberto Arcagni, 2019. "F-FOD: Fuzzy First Order Dominance Analysis and Populations Ranking Over Ordinal Multi-Indicator Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 1-29, July.
    8. Jan W. Owsiński, 2018. "Is There Any ‘Law of Requisite Variety’ in Construction of Indices for Complex Systems?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1125-1137, April.
    9. Lars Carlsen & Rainer Bruggemann, 2021. "Inequalities in the European Union—A Partial Order Analysis of the Main Indicators," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    10. Iñaki Permanyer & M. Azhar Hussain, 2018. "First Order Dominance Techniques and Multidimensional Poverty Indices: An Empirical Comparison of Different Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 867-893, June.
    11. Enrico Ivaldi & Andrea Ciacci & Riccardo Soliani, 2020. "Urban deprivation in Argentina: A POSET analysis," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1723-1747, December.
    12. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1633-1645. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.