In: Maimon O, Rokach L (eds) Soft computing for knowledge discovery and data mining. Springer, Heidelberg, pp 177–196Pappa, G.L., Freitas, A.A.: Discovering new rule induction algorithms with grammar- based genetic programming. In: Soft Computing for Knowledge Discovery and Data Mining, ...
International Journal of Soft Computing & EngineeringKapil, S., Sheveta, V., Heena, S., Richa, D & Jasreena, K. B (2013). A Hybrid Approach Based On Association Rule Mining and Rule Induction in Data Mining International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-...
Fuzzy rule inductionFuzzy rule weightsRule weight modificationParticle swarm optimisationThe most challenging problem in developing fuzzy rule-based classification systems is the construction of a fuzzy rule base for the target problem. In many practical applications, fuzzy sets that are......
Instead of applying simplistic and uniform assumptions for a MC which is a common practice, a deep learning-based CMC is used in conjunction of fuzzy rule induction techniques. As a result, decision makers are benefited from a better fitted MC outputs complemented by min–max rules that ...
Combining both leads to the hybrid notion of rough fuzzy sets in order to get a more accurate account of imperfect information. Many researchers have proposed models in this direction. Tseng et al. [22] have proposed a rule induction method based on RST, conceptual hierarchies, and condition ...
Finding interesting rule in the sixth strategy step about threshold control on generalized relations in attribute oriented induction, there is possibility ... S Warnars - 2nd International Conference on Soft Computing, Intelligent Systemand Information Technology (ICSIIT 被引量: 3发表: 2010年 ...
* Rule Induction and Learning Track (http://2016.ruleml.org/calls/rule-induction-and-learning-track) Industry Track The RuleML 2016 Industry Track targets businesses and the private sector interested in sharing, exploring, and learning about the use of rules and rule technologies for solving real...
regularized tree induction to minimize model bias, arxiv prepr. arxiv171208197. 2017. huang eh, socher r, manning cd, ng ay. improving word representations via global context and multiple word prototypes. in: proc. 50th annu. meet. assoc. comput. linguist. long pap.-vol. 1. jeju island...
In Meta-interpretive learning (MIL) the metarules, second-order datalog clauses acting as inductive bias, are manually defined by the user. In this work we
Rule generation in non-deterministic information systems, which follows rough sets based rule generation in deterministic information systems, is studied. For possible implications in non-deterministic information systems, six kinds of classes are newly