On modeling of linguistic information using random sets

DOI10.1016/0020-0255(84)90052-5zbMath0557.68066OpenAlexW2043641246MaRDI QIDQ761800

Nguyen Trung Hung

Publication date: 1984

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(84)90052-5

zbMATH Keywords

possibility distributionsknowledge representationknowledge-based systemsrandom setssubjectivitynatural languagesChoquet's theoremmeaning representationmodeling of common senseplausible inferences

Mathematics Subject Classification ID

Related Items (15)

A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets ⋮ Computational aspects of the coarsening at random model and the Shapley value ⋮ The mean value of a fuzzy number ⋮ The likelihood interpretation as the foundation of fuzzy set theory ⋮ Lattice-valued soft algebras. ⋮ A prototype-based rule inference system incorporating linear functions ⋮ Gradualness, uncertainty and bipolarity: making sense of fuzzy sets ⋮ A bipolar model of vague concepts based on random set and prototype theory ⋮ Linguistic modelling and information coarsening based on prototype theory and label semantics ⋮ Information cells and information cell mixture models for concept modelling ⋮ A random set characterization of possibility measures ⋮ Linguistic modelling based on semantic similarity relation among linguistic labels ⋮ A behavioral model for linguistic uncertainty ⋮ Uncertainty modelling for vague concepts: a prototype theory approach ⋮ A framework for linguistic modelling

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