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Intuitionistic partition based conceptual granulation topic-term modeling
2014
Applied Mathematical Sciences
Document Analysis represented in vector space model is often used in information retrieval, topic analysis, and automatic classification. However, it hardly deals with fuzzy information and decision-making problems. To account this, Intuitionistic partition based cosine similarity measure between topic/terms and correlation between document/topic are proposed for evaluation. Conceptual granulation is emphasized in the decision matrix expressed conventionally as tf-idf. A local clustering of
doi:10.12988/ams.2014.43165
fatcat:eupvg3gt3nep3phsly7adnmppa