Name
Abstract | ||
|---|---|---|
we demonstrate the relevance of aggregating expert and objective data in the process of decision-making support in weakly-structured domains. We provide a brief overview of available tools and means for aggregation of data from inherently different sources and, based on this overview, propose a conceptual model of objective open data usage for decision support. As a specific example of a weakly-structured domain, we consider information conflicts and operations. For this domain we propose a hybrid decision support methodology, using data provided by both experts and other available sources. The methodology is based on hierarchic decomposition of the main goal of an information operation. Using the data obtained from experts and other sources, we build the knowledge base of subject domain in the form of a weighted graph. It represents a hierarchy of factors influencing the main information operation goal. The impact of each factor is characterized by intensity, delay and duration. With these parameters taken into account, main goal achievement degree is calculated, and changes of target information operation object parameters are monitored. The suggested hybrid approach is illustrated by a real-life example, where we detect and analyze actions, intended to discredit the National academy of sciences of Ukraine. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/DESSERT50317.2020.9125022 | 2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT) |
Keywords | DocType | ISBN |
decision-making support system,information warfare,objective open data,hierarchical decomposition,expert knowledge,content monitoring system | Conference | 978-1-7281-9957-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitaliy Tsyganok | 1 | 8 | 1.87 |
| Sergii Kadenko | 2 | 0 | 0.34 |
| Oleh Andriichuk | 3 | 0 | 0.34 |