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Judul Entropy Method for Decision Making with Uncertainty / Ma?gorzata Przyby?a-Kasperek
Pengarang Ma?gorzata Przyby?a-Kasperek
Penerbitan 4052 Basel, Switzerland : MDPI, 2026
Deskripsi Fisik 190
ISBN 978-3-7258-7033-2
Subjek Computer Science & Mathematics
Catatan "Summary This Reprint brings together recent advances in uncertainty?aware decision making, highlighting how entropy?based methods, fuzzy and rough set formalisms, cloud?model reasoning, and distributed learning architectures are reshaping analytical practice across scientific and technical domains. The collected contributions illustrate a clear shift toward integrated uncertainty pipelines that combine robustness, interpretability, and privacy awareness in decision support systems. They address challenges such as heterogeneous information fusion, instability of classical entropy weights, conflict management in distributed environments, and the need for transparent, explainable mechanisms that operate reliably under noisy, incomplete, or adversarial data. By presenting applications spanning medicine, cybersecurity, environmental assessment, multi?criteria evaluation, and coalition?based classification, this Reprint demonstrates how treating uncertainty as structured information enables more resilient, adapti
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Lokasi Akses Online https://www.mdpi.com/books/reprint/12459-entropy-method-for-decision-making-with-uncertainty

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
113526192 658.403 Mal e Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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100 0 # $a Ma?gorzata Przyby?a-Kasperek
245 1 # $a Entropy Method for Decision Making with Uncertainty /$c Ma?gorzata Przyby?a-Kasperek
260 # # $a 4052 Basel, Switzerland :$b MDPI,$c 2026
300 # # $a 190
505 # # $a "Summary This Reprint brings together recent advances in uncertainty?aware decision making, highlighting how entropy?based methods, fuzzy and rough set formalisms, cloud?model reasoning, and distributed learning architectures are reshaping analytical practice across scientific and technical domains. The collected contributions illustrate a clear shift toward integrated uncertainty pipelines that combine robustness, interpretability, and privacy awareness in decision support systems. They address challenges such as heterogeneous information fusion, instability of classical entropy weights, conflict management in distributed environments, and the need for transparent, explainable mechanisms that operate reliably under noisy, incomplete, or adversarial data. By presenting applications spanning medicine, cybersecurity, environmental assessment, multi?criteria evaluation, and coalition?based classification, this Reprint demonstrates how treating uncertainty as structured information enables more resilient, adaptive, and trustworthy decision processes."
650 # # $a Computer Science & Mathematics
856 # # $a https://www.mdpi.com/books/reprint/12459-entropy-method-for-decision-making-with-uncertainty
990 # # $a 113526192
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