This paper presents a novel approach to improve the accuracy of classification models used for prediction purposes by integrating a Fuzzy Cognitive Map ...

Mar 8, 2021 · The standard statistical analyzes confirmed both the performance of FCM based classifier and its capability to improve data. The supporting ...

This paper presents a novel approach to improve the accuracy of classification models used for prediction purposes by integrating a Fuzzy Cognitive Map (FCM) to ...

Apr 5, 2017 · We propose a new algorithm for generating thresholds for the discrimination of FCM outcomes. The thresholds resulting from the proposed algorithm are ...

In this paper we proposed a classification method based on Fuzzy Cognitive Maps. It employed a fully connected map structure allowing links between all types ...

Fuzzy Cognitive Maps (FCMs) are considered a soft computing technique combining elements of fuzzy logic and recurrent neural networks.

Therefore, the goal of this paper is to introduce FCM Expert, a software tool for fuzzy cognitive modeling oriented to scenario analysis and pattern ...

Improving the performance of classification models with fuzzy cognitive maps. Christodoulou, Panayiotis, Christoforou, Andreas, Andreou, Andreas S.

This article presents a comprehensive approach for time-series classification. The proposed model employs a fuzzy cognitive map (FCM) as a classification ...

Jan 30, 2024 · This can help improve the accuracy and efficiency of disease diagnosis, leading to better patient outcomes. Amirkhani et al. [22] addressed the ...