首页|Researchers from Hefei University of Technology Detail New Studies and Findings in the Area of Computational Intelligence (Fuzzy Ranking-based Preference Comple tion Via Graph Pattern Matching and Rematching)
Researchers from Hefei University of Technology Detail New Studies and Findings in the Area of Computational Intelligence (Fuzzy Ranking-based Preference Comple tion Via Graph Pattern Matching and Rematching)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning - Computational Intelligence. According to news originating fro m Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “As an emerging topic on preference learning, aiming at deducting the linear ord er of alternatives from the partial ranking, preference completion is to complet e the preference of the target agent to form a linear order from the preferences of other agents under certain complex requirements. In order to improve the eff ectiveness and efficiency of preference completion in Big Data environments, fir stly the preference graph is introduced to represent the collective preference o f the agents over the alternatives with a certain consensus algorithm following the preference of the target agent.”
HefeiPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningHefei University of Technology
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