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The fuzzy logic of text understanding
Affiliation:1. School of Mathematics and Big Data, Anhui University of Science & Technology, Huainan, China;2. School of Management, Qufu Normal University, Rizhao, China;1. MOE Key Laboratory of Regional Energy Systems Optimization, Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China;2. Department of Civil Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4L7;3. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;1. College of Environmental Science and Engineering, Peking University, Beijing 100871, China;2. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;3. Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan S4S 0A2, Canada;4. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China
Abstract:Fuzzy graphs and fuzzy logic are used to describe the reasoning of verbal understanding of a text played to students of Unicamp. The results demonstrate that each phrase in the text is associated to two different truth values. One of them, here called the confedence degree, measures the truth of the information as related to the individual sets of beliefs; the other, called correlation degree, measures the truth of each phrase as regards the structure of the text itself. Also, empirical relations were established for each of the logical of perators used by the volunteers.
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