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https://scidar.kg.ac.rs/handle/123456789/23081Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Vučićević, Nemanja | - |
| dc.contributor.author | Stojanović, Nenad | - |
| dc.contributor.author | Svičević, Marina | - |
| dc.contributor.author | Andric, Filip | - |
| dc.date.accessioned | 2026-03-16T12:33:47Z | - |
| dc.date.available | 2026-03-16T12:33:47Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/23081 | - |
| dc.description.abstract | Many applications of neutrosophic soft sets have been limited by insufficient parametric tools (Dalkılıç, 2021). However, the hybridization of interval-valued bipolar neutrosophic sets (Deli, 2017) with soft sets has overcome this limitation, resulting in interval-valued bipolar neutrosophic soft sets — a structure with enhanced parametric richness and wide-ranging applicability. These sets have attracted significant attention for both theoretical investigation and practical problem-solving, particularly in decision-making contexts. To formalize this notion, consider a universal set 𝑈, and denote by 𝐼𝑉𝐵𝑁𝑆(𝑈) the collection of all interval-valued bipolar neutrosophic sets over 𝑈. Let 𝐸 be a set of parameters (attributes) used to describe the elements of 𝑈, and let 𝐴 ⊆ 𝐸 be a chosen subset of parameters relevant to the problem at hand. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Interval-valued bipolar neutrosophic soft set | en_US |
| dc.subject | Decision making | en_US |
| dc.subject | Singular value | en_US |
| dc.subject | Nuclear norm | en_US |
| dc.title | Energy of Interval-Valued Bipolar Neutrosophic Soft Sets: A New Tool for Medical Decision-Making | en_US |
| dc.type | conferenceObject | en_US |
| dc.description.version | Published | en_US |
| dc.type.version | PublishedVersion | en_US |
| dc.source.conference | ARTIFICIAL INTELLIGENCE CONFERENCE | en_US |
| Appears in Collections: | Faculty of Science, Kragujevac | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AI_Conference_Book_of_Abstracts (3)-72-73.pdf | 739.24 kB | Adobe PDF | ![]() View/Open |
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