[1]WU Jinghua,WANG Kaixin.Emotional persuasion model based on Agent’s comprehensive trust evaluation[J].CAAI Transactions on Intelligent Systems,2021,16(1):117-124.[doi:10.11992/tis.202009024]
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Emotional persuasion model based on Agent’s comprehensive trust evaluation

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 16 Number of periods: 2021 1 Page number: 117-124 Column: 学术论文—知识工程 Public date: 2021-01-05
Title:
Emotional persuasion model based on Agent’s comprehensive trust evaluation
Author(s):
WU Jinghua;  WANG Kaixin
School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China
Keywords:
agents; trust evaluation; emotional persuasion; fuzzy membership; business intelligence; automated negotiation; gray relational analysis; entropy weight method
CLC:
TP18;C931.6
DOI:
10.11992/tis.202009024
Abstract:
In view of the present research on trust evaluation of agent simulators is not deep enough, an emotional persuasion model is proposed. The agent-based emotion was first divided into five levels according to the OCC model. First, an emotional factor was introduced, and a fuzzy membership function was used to construct the algorithm. Second, the gray relational analysis method was used to evaluate each trust index, and the corresponding weight was calculated by the entropy weight method, fully building the comprehensive trust evaluation algorithm. Third, an emotional persuasion model based on the agent’s comprehensive trust evaluation was proposed. Under the background of emission trading permits of carbon in Beijing, corresponding examples were designed to verify and analyze the model. Finally, results were summarized and sorted into a conclusion, forming the next research direction.
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Last Update: 2021-02-25

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