Findings from University of Electronic Science and Technology of China Provide N ew Insights into Computational Intelligence (Game-theoretic Expert Importance Ev aluation Model Guided By Cooperation Effects for Social Network Group Decision M aking)

Robotics & Machine Learning Daily News2024，Issue(MAY.1) ：66-67.

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Findings from University of Electronic Science and Technology of China Provide N ew Insights into Computational Intelligence (Game-theoretic Expert Importance Ev aluation Model Guided By Cooperation Effects for Social Network Group Decision M aking)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence.According to news reporting origina ting from Chengdu, People’s Republic of China, by NewsRx correspondents,researc h stated, “The evaluation of expert importance degree for solving group decision -makingproblems (GDM) is meaningful, especially for social network GDM cases. C onventionally, the importanceof experts in existing GDM models is assumed to be isolated.”

Key words

Chengdu/People’s Republic of China/Asi a/Computational Intelligence/Machine Learning/University of Electronic Scienc e and Technology of China

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出版年

2024

Robotics & Machine Learning Daily News

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