### Abstract

In contrast to the discipline of economics - Which adopted formal, deductive approaches grounded in rational choice assumptions more than a century ago - Political science remained largely normative and inductive until the 1950s. Not surprisingly, many of the first works analyzing politics using mathematical models were written by economists (for example, Downs, 1957; Olson, 1965; Buchanan and Tullock, 1962) Since then the discipline has made significant progress in the application of mathematics to a wide number of questions as growing numbers of political scientists have embraced formal approaches. This has been particularly so in the sub-fields of American government, public policy, and international relations where rational choice models have been particularly popular. In contrast, the application of formal modeling to comparative politics has not had as much traction. Owing to an area studies tradition that emphasizes description and interpretive approaches over theory building and hypothesis testing, scholars analyzing the political systems of nation-states have largely eschewed cross-regional comparisons, let alone formal, deductive models.

Original language | English (US) |
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Title of host publication | Applying Fuzzy Mathematics to Formal Models in Comparative Politics |

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

Pages | 1-27 |

Number of pages | 27 |

DOIs | |

State | Published - Feb 18 2008 |

### Publication series

Name | Studies in Fuzziness and Soft Computing |
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Volume | 225 |

ISSN (Print) | 1434-9922 |

### All Science Journal Classification (ASJC) codes

- Computer Science (miscellaneous)
- Computational Mathematics

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## Cite this

*Applying Fuzzy Mathematics to Formal Models in Comparative Politics*(pp. 1-27). (Studies in Fuzziness and Soft Computing; Vol. 225). https://doi.org/10.1007/978-3-540-77461-7_1