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Detection of Fuzzy Association Rules by Fuzzy Transforms [PDF]
Advances in Fuzzy Systems, 2012 We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to determine the optimal fuzzy partition of the domains of the quantitative attributes.
F. Di Martino, SESSA, SALVATORE
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Incremental maintenance of discovered fuzzy association rules [PDF]
Fuzzy Optimization and Decision Making, 2021 Fuzzy association rules (FARs) are a recognized model to study existing relations among data, commonly stored in data repositories. In real-world applications, transactions are continuously processed with upcoming new data, rendering the discovered rules information inexact or obsolete in a short time.
Alain Pérez-Alonso +3 more
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Building an Associative Classifier Based on Fuzzy Association Rules [PDF]
International Journal of Computational Intelligence Systems, 2008 Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification with Fuzzy Association Rules (CFAR ...
Zuoliang Chen, Guoqing Chen
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Data Mining Using Association Rules for Intuitionistic Fuzzy Data
Information, 2023 This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data.
Frederick Petry, Ronald Yager
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Fuzzy Meta-Association Rules [PDF]
Advances in Intelligent Systems Research, 2015 Association rules is a useful tool to extract new information from raw data expressed in a comprehensive way for decision makers. However, in some applications raw data might not be available for several reasons. First, stream data are only temporarily available for their processing or if it is stored, only summaries or representations of the extracted
M. Dolores Ruiz +4 more
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Fuzzy Association Rule Mining [PDF]
Journal of Computer Science, 2015 The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.
A. Lekha, C. V. Srikrishna, Viji Vinod
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Risk assessment of data asset management based on fuzzy hierarchy method and association rules [PDF]
SHS Web of Conferences, 2023 In the current data asset management risk assessment, the processing of assessment indicators is relatively simple, which leads to large errors in the assessment results.
Chen Shuguo +3 more
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Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF)
Z. Anari +3 more
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Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm
International Transactions on Electrical Energy Systems, 2022 As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation.
Qunfeng Wei, Bin Qi
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Association rules of fuzzy soft set based classification for text classification problem
Journal of King Saud University: Computer and Information Sciences, 2022 Text classification is imperative in order to search for more accessible and appropriate information. It utilized in various fields, including marketing, security, biomedical, etc.
Dede Rohidin +2 more
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