Szczegóły publikacji
Opis bibliograficzny
Fuzzy Shapley value-based solution for communication network / Barbara Gładysz, Jacek Mercik, Izabella STACH // W: Computational Collective Intelligence : 11th International Conference, ICCCI 2019 : Hendaye, France, September 4–6, 2019 : proceedings, Pt. 1 / eds. Ngoc Thanh Nguyen, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2019. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; 11683). — ISBN: 978-3-030-28376-6; e-ISBN: 978-3-030-28377-3. — S. 535–544. — Bibliogr. s. 544, Abstr.
Autorzy (3)
- Gładysz Barbara
- Mercik Jacek
- AGHStach Izabella
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 125341 |
|---|---|
| Data dodania do BaDAP | 2019-10-23 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-030-28377-3_44 |
| Rok publikacji | 2019 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
The paper presents a solution to the problem of cost allocation for a communication network in which the connection values between two nodes are defined by a fuzzy utility function. The utility function can refer to both existing communication nodes and new node proposals. For the allocation mechanism, the authors used the fuzzy Shapley value built on a complete coalition of all paths connecting the root of the tree with all nodes of the given network.
