Possibility theory for the design of information fusion systems

• 作者： Solaiman, Basel, author.
• 其他作者：
  • Bosse, Eloi, author.
  • SpringerLink (Online service)
• 其他題名：
  • Information fusion and data science.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Information fusion and data science,
• 主題： Fuzzy sets. , Uncertainty (Information theory) , Probability Theory and Stochastic Processes. , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. , Probability and Statistics in Computer Science. , Data-driven Science, Modeling and Theory Building. , Communications Engineering, Networks.
• ISBN： 9783030328535 (electronic bk.) 、 9783030328528 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Chapter1: Introduction to possibility theory -- Chapter2: Fundamental possibilistic concepts -- Chapter3: Joint Possibility Distributions and Conditioning -- Chapter4: Possibilistic Similarity Measures -- Chapter5: The interrelated uncertainty modeling theories -- Chapter6: Possibility integral -- Chapter7: Fusion operators and decision-making criteria in the framework of possibility theory -- Chapter8: Possibilistic concepts applied to soft pattern classification -- Chapter9: The use of possibility theory in the design of information fusion systems.
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