Cycling in fuzzy spatial models

Terry D. Clark, Jennifer M. Larson, John N. Mordeson, Joshua D. Potter, Mark J. Wierman

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    As we discussed in the opening chapter of this volume, cycling is a persistent and troubling problem for formal models in comparative politics. While the problem is not as acute in single-dimensional problems as it is in multi-dimensional models, chapter five demonstrated that a fuzzy set theory approach can reduce the problem substantially in spatial models. In this concluding chapter we give consideration to the degree to which fuzzy spatial models are plagued by cycling. We argue that while the use of fuzzy math reduces the extent of the problem in a number of circumstance, it does not do away entirely with cycling. We conclude by identifying future avenues for research on this important topic.

    Original languageEnglish (US)
    Title of host publicationApplying Fuzzy Mathematics to Formal Models in Comparative Politics
    EditorsTerry D. Clark, Joshua D. Potter, Jennifer M. Larson, John N. Mordeson, Mark J. Wierman
    Pages169-182
    Number of pages14
    DOIs
    StatePublished - 2008

    Publication series

    NameStudies in Fuzziness and Soft Computing
    Volume225
    ISSN (Print)1434-9922

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Computational Mathematics

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