Applying Fuzzy Mathematics To Formal Models In Comparative Politics

Explores the intersection of fuzzy mathematics and the spatial modeling of preferences in political science. Starting with a critique of conventional modeling approaches predicated on Cantor set theoretical assumptions, this title outlines the potential benefits of a fuzzy approach to the study of ambiguous or uncertain preference profiles.

Professor John Mordeson deserves major credit both for contributing so much and in so many important ways to the advancement of fuzzy mathematics, and his pioneering work on applications of fuzzy mathematics to soft sciences. He and his collaborators, Terry D. Clark, Jennifer M. Larson, Joshua D. Potter and Mark J.

Wierman, have produced an important work which breaks new ground in application of fuzzy mathematics to soft sciences and especially to comparative politics. FMCP opens the door to many further applications. In this perspective, the importance of FMCP is hard to exaggerate. Professor Mordeson, his co-authors and the publisher, Springer, deserve loud applause.

Lotfi A. Zadeh, Berkeley, California This study is a welcome addition to a field that arguably is still in as embryonic stage. The most important literature in the field is brought to bear on the explorations; no doubt this study will take its place among such literature. Further, the authors condense the current literature with rigor and clarity, and bring a certain freshness to this material.

This is an exacting book as it charts new, somewhat untested paths. This book will serve as a guide to a new generation of scholars and students of political science. An excellent tool, I am confident that this work will enjoy broad distribution. Michael Proterra, S.J., Parochial Vicar, St Raphael Church and Schools