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 language | English |
|---|---|
| Title of host publication | Applying Fuzzy Mathematics to Formal Models in Comparative Politics |
| Pages | 169-182 |
| Number of pages | 14 |
| Volume | 225 |
| DOIs | |
| State | Published - 2008 |
Publication series
| Name | Studies in Fuzziness and Soft Computing |
|---|---|
| Volume | 225 |
| ISSN (Print) | 14349922 |
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All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
- Computational Mathematics
Cite this
Cycling in fuzzy spatial models. / Clark, Terry D.; Larson, Jennifer M.; Mordeson, John N.; Potter, Joshua D.; Wierman, Mark J.
Applying Fuzzy Mathematics to Formal Models in Comparative Politics. Vol. 225 2008. p. 169-182 (Studies in Fuzziness and Soft Computing; Vol. 225).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Cycling in fuzzy spatial models
AU - Clark, Terry D.
AU - Larson, Jennifer M.
AU - Mordeson, John N.
AU - Potter, Joshua D.
AU - Wierman, Mark J.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-540-77461-7_7
DO - 10.1007/978-3-540-77461-7_7
M3 - Chapter
SN - 9783540774600
VL - 225
T3 - Studies in Fuzziness and Soft Computing
SP - 169
EP - 182
BT - Applying Fuzzy Mathematics to Formal Models in Comparative Politics
ER -