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Description
| - General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in the model extends the current work by using the fuzzy number approach, readily representing the trust uncertainty without sacrificing the simplicity. The model contains the trust representation part, decision-making part and a learning part. In our representation, we define the trusted agents as a type-2 fuzzy set. In a decision-making part, we use the methods from the fuzzy rule computation and fuzzy control to take trusting decision. For trust learning, we use a strictly iterative approach. We verify our model in a multi-agent simulation where the agents in the community learn to identify and refuse the defectors. Our simulation contains the environment-caused involuntary failure used as a background noise that makes the trust-learning difficult.
- General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in the model extends the current work by using the fuzzy number approach, readily representing the trust uncertainty without sacrificing the simplicity. The model contains the trust representation part, decision-making part and a learning part. In our representation, we define the trusted agents as a type-2 fuzzy set. In a decision-making part, we use the methods from the fuzzy rule computation and fuzzy control to take trusting decision. For trust learning, we use a strictly iterative approach. We verify our model in a multi-agent simulation where the agents in the community learn to identify and refuse the defectors. Our simulation contains the environment-caused involuntary failure used as a background noise that makes the trust-learning difficult. (en)
- Publikace předkládá model řízení důvěryhodnosti který je vhodný pro nasazení v prostředí ad-hoc sítí. Model je založen na fuzzy číslech, které rozšiřují existující formalismy reprezentace důvěryhodnosti zahrnutím neurčitosti. Rozhosovací část modelu je založená na technikách fuzzy řízení a umožňuje autonomní adaptaci na běžnou míru důvěryhodnosti v prostředí bez externího kontrolního zásahu. (cs)
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Title
| - Fuzzy Number Approach to Trust in Coalition Environment
- Model důvěryhodnosti pro koaliční prostředí založený na fuzzy číslech (cs)
- Fuzzy Number Approach to Trust in Coalition Environment (en)
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skos:prefLabel
| - Fuzzy Number Approach to Trust in Coalition Environment
- Model důvěryhodnosti pro koaliční prostředí založený na fuzzy číslech (cs)
- Fuzzy Number Approach to Trust in Coalition Environment (en)
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skos:notation
| - RIV/68407700:21230/05:03109066!RIV09-MSM-21230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/05:03109066
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Trust; multi-agent systems; reputation; security (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - The Fourth International Joint Conference on Autonomous Agents and Multi Agent Systems
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Benda, Petr
- Pěchouček, Michal
- Rehák, Martin
- Foltýn, Lukáš
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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