The Fuzzy Spatial Modeling Project
Spatial models in political science typically assume that political actors possess an ideal preference that is mapped in n-dimensional space as a single point. Fuzzy set theory permits scholars to assume instead that actors are indifferent over a large number of alternatives that are mapped as regions within which all options are equally preferred.
The goals of the fuzzy spatial modeling project are 1) to improve the capacity of models to predict stable outcomes and 2) to improve the empirical validity of those predictions. In so doing, the project illustrates the ability of fuzzy mathematics to deal with vagueness in human thinking, and provide a touchstone for further applications of fuzzy mathematics in the social sciences.
The fuzzy spatial modeling project is being conducted under the auspices of Creighton Universityís Center of Mathematics for Uncertainty. Jointly led by Terry D. Clark (political science) and John N. Mordeson (mathematics), the project brings together the collaborative efforts of faculty and students, both undergraduate and graduate.