An expert fuzzy cognitive map for reactive navigation of mobile robots
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Relative influences and the reliability of weights in fuzzy cognitive maps
2022, Fuzzy Sets and SystemsCitation Excerpt :Kireev et al. [8] present a system that allows to build cognitive maps automatically, without turning to experts, while using data extracted from website logs. Other studies postulate that even if the initial weights are defined unrealistically (due to mistake or limited knowledge by experts), the learning process can handle this problem [14]. On the other hand, Felix et al. [4] elaborate on various conditions and difficulties involved in reaching convergence and discussed the trade-offs between accuracy and convergence.
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2017, NeurocomputingCitation Excerpt :FCMs have been mostly used for planning and decision making in the fields of international relations, social systems modelling and the study of political developments in the context of such systems. Moreover, as mentioned in [9], there is a vast interest in FCMs and this interest on the part of researchers and industry is increasing, especially in the areas of control [10], business [11], medicine [12], robotics [13], emotion modelling [14], environmental science [15], education [16], information technology [17] and self-tuning controller design [18]. Even though FCMs have achieved success in many fields, there are some limitations inherent in FCMs, such as a lack of adequate capability to handle uncertain information or to aggregate information from different sources.
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