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


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
Title of host publicationApplying Fuzzy Mathematics to Formal Models in Comparative Politics
Number of pages14
StatePublished - 2008

Publication series

NameStudies in Fuzziness and Soft Computing
ISSN (Print)14349922


All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computational Mathematics

Cite this

Clark, T. D., Larson, J. M., Mordeson, J. N., Potter, J. D., & Wierman, M. J. (2008). Cycling in fuzzy spatial models. In Applying Fuzzy Mathematics to Formal Models in Comparative Politics (Vol. 225, pp. 169-182). (Studies in Fuzziness and Soft Computing; Vol. 225).