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The arm of this work is to provide a formal model and an effective way for information retrieving from a big related data set. Based upon fuzzy logic ...
The arm of this work is to provide a formal model and an effective way for information retrieving from a big related data set. Based upon fuzzy logic ...
The arm of this work is to provide a formal model and an effective way for information retrieving from a big related data set. Based upon fuzzy logic ...
Yang Yi, JinFeng Mei, Zhijiao Xiao: A Fuzzy Embedded GA for Information Retrieving from Related Data Set. MICAI 2006: 943-951. a service of Schloss Dagstuhl ...
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In this paper, a fuzzy inference system is developed to tackle the uncertainty of variables in a sequencing problem. Arrival order, processing time, due date, ...
This paper proposes a fuzzy-based non-linear transformation method to extend classification related information from the original data attribute values for a ...
Missing: Retrieving | Show results with:Retrieving
In this paper, we study the feasibility of performing fuzzy information retrieval by word embedding. We propose a fuzzy information retrieval approach to ...
Missing: GA | Show results with:GA
Jun 26, 2024 · This paper contributes by presenting a new ontology for FMEA observations, an algorithm for creating vector embeddings from the FMEA KG, and a KG enhanced RAG ...
Aug 13, 2021 · The explosive growth of biometrics use (e.g., in surveillance) poses a persistent challenge to keep biometric data private without sacrificing ...
Feb 15, 2012 · In uncertain information processing, extracting fuzzy rules and modeling with fuzzy rule-based systems is an important aspect and has been ...
Missing: Retrieving | Show results with:Retrieving