Results 11 to 20 of about 18,237 (266)
Refined Expected Value Decision Rules under Orthopair Fuzzy Environment
Mathematics, 2020 Refined expected value decision rules can refine the calculation of the expected value and make decisions by estimating the expected values of different alternatives, which use many theories, such as Choquet integral, PM function, measure and so on ...
Yige Xue, Yong Deng
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Embedded YARA rules: strengthening YARA rules utilising fuzzy hashing and fuzzy rules for malware analysis [PDF]
Complex & Intelligent Systems, 2020 AbstractThe YARA rules technique is used in cybersecurity to scan for malware, often in its default form, where rules are created either manually or automatically. Creating YARA rules that enable analysts to label files as suspected malware is a highly technical skill, requiring expertise in cybersecurity.
Nitin Naik +7 more
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Visualizing high dimensional fuzzy rules [PDF]
PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500), 2002 In this paper we present an approach to visualize a potentially high-dimensional and large number of (fuzzy) rules in two dimensions. This visualization presents the entire set of rules to the user as one coherent picture. We use a gradient descent based algorithm to generate a 2D-view of the rule set which minimizes the error on the pair-wise fuzzy ...
Holve, Rainer, Berthold, Michael R.
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Jurnal Ilmiah SINERGI, 2023 This paper aims to develop the nominal rules on the Fuzzy Logic Method using the Sugeno-Fuzzy Inference System (FIS) for Dissolved Gas Analysis (DGA) and determine the quality of the power Transformer 1 and Transformer 6 insulating oil at the Buduran 150
Ha'imza Ha'imza +2 more
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IEEE Access, 2020 Compared with rules in the form of `IF-THEN,' weighted fuzzy production rules (WFPRs) have more robust knowledge expression capabilities, but weighted fuzzy production rules are more difficult to obtain. The weighted fuzzy production rules obtained using
Hang-Cheng Li +4 more
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A Strategic Study of Mining Fuzzy Association Rules Using Fuzzy Multiple Correlation Measues
Journal of Algorithms & Computational Technology, 2012 Two different data variables may behave very similarly. Correlation is the problem of determining how much alike the two variables actually are and association rules are used just to show the relationships between data items.
Robinson P. John +2 more
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Evolving Mamdani Fuzzy Rules Using Swarm Algorithms for Accurate Data Classification
IEEE Access, 2019 This paper proposes and develops a fuzzy evolutionary system based on the Grey Wolf Optimizer (GWO) algorithm to evolve Mamdani fuzzy rules that give a knowledge base for accurate classification of data set.
Musbah Abdulgader, Devinder Kaur
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Quality measures for fuzzy predicates in conjunctive and disjunctive normal forms
Ingeniería e Investigación, 2014 Association rule mining is a very popular data mining technique. Rules in this technique are often used to identify and represent de-pendencies between attributes in databases.
Taymi Ceruto Cordovés +2 more
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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
Miguel Delgado +4 more
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Incremental Fuzzy Association Rule Mining for Classification and Regression
IEEE Access, 2019 The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real time.
Ling Wang, Qian Ma, Jianyao Meng
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