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A Prototype Theory Interpretation of Label Semantics

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Uncertainty Modeling for Data Mining

Part of the book series: Advanced Topics in Science and Technology in China ((ATSTC))

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Abstract

Using words rather than numbers to convey vague information as part of uncertain reasoning is a sophisticated human activity. The theory of fuzzy sets is now a popular tool for computing with words[12] which attempts to formally capture this human reasoning process[3–4] Furthermore, linguistic modeling based on fuzzy IF-THEN rules [6–8] has achieved promising results in many application areas. However, the currently proposed interpretations of the membership function in fuzzy set theory are not consistent with the truth-functional calculus of fuzzy logic[9]. Alternatively, from the philosophical viewpoint of the epistemic stance, Lawry proposed a functional (but non-truth functional) calculus, label semantics, for computing with words[10,11]. In this framework, the meaning of linguistic labels is encoded by mass functions which represent the subjective probabilities that a given set of labels is appropriate to describe a given instance. Label semantics is a powerful new tool for modelling with vague concepts, the possible applications of which include knowledge fusion[12], decision tree learning[13], linguistic rule induction[14], and collective decision making[15,16].

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Authors and Affiliations

  1. Intelligent Computing and Machine Learning Lab, School of ASEE, Beihang University, Beijing, China

    Prof. Zengchang Qin

  2. College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China

    Prof. Yongchuan Tang

Authors
  1. Prof. Zengchang Qin
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  2. Prof. Yongchuan Tang
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© 2014 Zhejiang University Press, Hangzhou and Springer-Verlag Berlin Heidelberg

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Qin, Z., Tang, Y. (2014). A Prototype Theory Interpretation of Label Semantics. In: Uncertainty Modeling for Data Mining. Advanced Topics in Science and Technology in China. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41251-6_9

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  • DOI: https://doi.org/10.1007/978-3-642-41251-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41250-9

  • Online ISBN: 978-3-642-41251-6

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