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• W4283779168 abstract "With a growing interest in Explainable Artificial Intelligence, the fuzzy cognitive maps (FCMs) have proved to be a simple yet powerful tool for causal reasoning and decision making. It is a hybrid methodology that combines the aspects of recurrent neural network and fuzzy logic. In this paper, we elaborate a FCM technique for Web effort estimation which is a critical challenge in software engineering. Web applications market size is giant and ever-growing. Today, Web applications are becoming more refined as it is not only for uploading and fetching the data but also gathering data from various sources and analyzing by the ML techniques. The mean square error (MSE) is measured and analyzed to show the superiority of FCM estimation technique. It is analyzed that the project characteristics presence should not be ignored by the effort estimation technique selection. On software estimation technique recommendation, there is 70% success probability by the FCM approach." @default.
• W4283779168 created "2022-07-03" @default.
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• W4283779168 date "2022-07-03" @default.
• W4283779168 modified "2023-10-01" @default.
• W4283779168 title "Machine Learning-Enabled Estimation System Using Fuzzy Cognitive Mapping: A Review" @default.
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• W4283779168 doi "https://doi.org/10.1007/978-981-19-1142-2_39" @default.
• W4283779168 hasPublicationYear "2022" @default.
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