A fuzzy set generalizes classical sets by assigning each element a membership value in the interval [0, 1], thereby capturing partial or uncertain membership. A Neutrosophic Set extends fuzzy sets by introducing three independent membership degrees: truth, indeterminacy, and falsity, each ranging within [0, 1].
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Theoretical foundations of soft topological granular structures for multi-criteria social network analysis. [PDF]
Oza A.
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A robust E learning recommendation system based on novel interval valued bipolar fuzzy hypersoft set theory. [PDF]
Harl MI +4 more
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Convergence of disciplines: a systematic review of multidisciplinary development approaches in artificial intelligence. [PDF]
Toto GA +5 more
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Hospital performance evaluation models: A scoping review. [PDF]
Hadian SA +4 more
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A neutrosophic explainable AI framework for modeling uncertainty in immersive stereotactic neurosurgical simulation. [PDF]
Hechavarria-Hernandez JR.
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Linguistic neutrosophic power Muirhead mean operators for safety evaluation of mines. [PDF]
Luo S, Liang W, Zhao G.
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Evaluating Japanese language learning strategies through learner and expert perspectives: a fuzzy multi-criteria decision-making approach. [PDF]
Liao L, Zhou Q, Sato N.
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Pendekatan Plithogenic Neutrosophic Soft Set untuk Peramalan Deret Waktu Multi Atribut
Peramalan deret waktu adalah proses penting dalam pengambilan keputusan yang melibatkan prediksi nilai masa depan berdasarkan data historis. Dalam penelitian ini, dieksplorasi lebih dalam penggunaan konsep plithogenic soft set dalam peramalan deret waktu
Aini, Qonita Qurratu
core
An MADM approach for the assessment of eye lenses with fuzziness of using prioritized weighted operators. [PDF]
Hu C +8 more
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