Analyzing the Impact of Characteristics on Artificial Intelligence IQ Test: A Fuzzy Cognitive Map Approach

Abstract This research paper we present a Fuzzy Cognitive Map (FCM)-based approach to improving a previously proposed IQ test for Artificial Intelligence (AI) systems. Starting from linguistic terms analyses, fuzzy logic along with triangular membership function is adopted for the defuzzification process. Based on the defuzzification result, a calculated defuzzified value is assigned for the quantitative weights of each edge in the resulting FCM. Mean Square Error (MSE) is used for evaluation. Experiments have shown that the FCM-based approach outperforms other methods (including Delphi weights).

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