Fuzzy sets in political science

Several computational intelligence (CI) paradigms have been popularized by their broad use in industry. The practical value of these techniques is seldom questioned in traditional areas like engineering and medicine. However, there are other fields still waiting to be better explored. Relatively new paradigms in CI that can deal with uncertainty has facilitated the construction of advanced expert systems. Treating uncertainty with fuzzy logic (FL) in politics is an exercise that may demonstrate a promising use of expert systems, opposing the idea that vagueness is a source of great complexity, only approachable by human experts. The paper explores the applicability of FL for politics via a practical experiment, that is also useful for discussing some important details about implementation. The area known as social science, which for a long time has been held in reserve for human specialists, can now be aided by intelligent systems regarding decision making