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An Inductive Approach To Determining Causality In Comparative Politics: A Fuzzy Set Alternative

Author

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  • JOHN N. MORDESON

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

  • TERRY D. CLARK

    (Department of Political Science, Creighton University, Omaha, Nebraska 68178, USA)

  • ADAM D. GRIESER

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

  • MARK J. WIERMAN

    (Department of Computer Science, Creighton University, Omaha, Nebraska 67178, USA)

Abstract

Political science typically tests hypotheses by demonstrating correlations between variables. The most commonly employed method for doing so is regression analysis. The approach is essentially crisp, which carries with it a number of questionable assumptions about the data. Political phenomena such as democracy or stability often involve measuring the degree to which a particular observation demonstrates the qualities of the category. A fuzzy set approach better captures the inherent ambiguity in classifying our observations relative to such categories. However, the attempt to establish correlations between fuzzy sets in the social sciences has been plagued by the priority ranking issue. We illustrate the potential that Jeffrey's Rule has to overcome this difficulty.

Suggested Citation

  • John N. Mordeson & Terry D. Clark & Adam D. Grieser & Mark J. Wierman, 2007. "An Inductive Approach To Determining Causality In Comparative Politics: A Fuzzy Set Alternative," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 191-202.
    • Handle: RePEc:wsi:nmncxx:v:03:y:2007:i:02:n:s1793005707000719
    DOI: 10.1142/S1793005707000719
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    Cited by:

    1. John N. Mordeson & Sunil Mathew, 2017. "Local Look at Human Trafficking," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 327-340, November.
    2. John N. Mordeson & Michel Mallenby & Sunil Mathew & Santanu Acharjee, 2017. "Human Trafficking: Policy Intervention," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 341-358, November.

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