Probability Model of Situational Decision-Making under the Influence of Subjective Factors
| Autor: | Oksana Yu. Lavlinskaya, Vyacheslav I. Seredin, Oksana Kuripta, Felix A. Desyatirikov, Andrei V. Chernenkii |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Digital marketing Markov chain business.industry Computer science Field (Bourdieu) Markov process 02 engineering and technology Probability model symbols.namesake 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering symbols Econometrics 020201 artificial intelligence & image processing The Internet State (computer science) Situational ethics business |
| Zdroj: | 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus). |
| DOI: | 10.1109/elconrus51938.2021.9396589 |
| Popis: | The article examines a mathematical model based on Markov's chains, which calculates the probability of state changes and allows you to predict average estimates of observed parameters and make situational decisions leading to the expected result. The model is applied in the field of Internet marketing and takes into account the change in consumer preferences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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