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Reasoning with words: A hedge algebra linguistic cognitive map approach
Author(s) -
Van Han Nguyen,
Cong Vinh Phan
Publication year - 2020
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5711
Subject(s) - hedge , linguistics , cognition , set (abstract data type) , value (mathematics) , lattice (music) , cognitive map , algebra over a field , mathematics , computer science , artificial intelligence , natural language processing , psychology , pure mathematics , philosophy , machine learning , ecology , physics , acoustics , biology , programming language , neuroscience
Summary In this article, we introduce a method for reasoning with words based on hedge algebra using linguistic cognitive map. Our model consists of set of vertices and edges with value to be linguistic variables which are constrained by linguistic lattice. We figure out relationship between numeric and linguistic domain for fuzzifying data. We also prove convergence theorem on learning method for linguistic cognitive map.