Rule-base and Inference engine
Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference
... Fuzzy inference-based PID (FI-PID) and Arti- ficial neural network-based PID (ANN-PID) ...designed inference engine can infer the corresponding values of PID parameters from the rules activated by ...
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DESIGNING FORWARD CHAINING INFERENCE ENGINE FOR FUZZY RULE BASED EXPERT SYSTEM FOR CYBER SECURITY
... a rule depository and a mechanism for accessing and running the ...logic inference rules from a fuzzy rule base in determining the congestion parameters, getting the warning information and ...
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An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation
... TSK inference, is presented in this paper. The proposed fuzzy inference engine is workable with sparse, dense or imbalanced TSK-style rule bases, which is a further devel- opment on the ...
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An extended Takagi–Sugeno–Kang inference system (TSK+) with fuzzy interpolation and its rule base generation
... TSK inference, is presented in this paper. The proposed fuzzy inference engine is workable with sparse, dense or imbalanced TSK-style rule bases, which is a further devel- opment on the ...
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TSK Inference with Sparse Rule Bases
... any rule antecedent in the rule base (which usually termed as a sparse rule base), no rule can be fired, and thus no result can be ...Fuzzy rule interpolation was proposed ...
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TSK Inference with Sparse Rule Bases
... any rule antecedent in the rule base (which usually termed as a sparse rule base), no rule can be fired, and thus no result can be ...Fuzzy rule interpolation was proposed ...
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Towards sparse rule base generation for fuzzy rule interpolation
... Keywords–Sparse rule base generation, fuzzy rule interpo- lation, fuzzy rule base, fuzzy inference ...are rule- based fuzzy inference systems, each of which is ...
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Towards Sparse Rule Base Generation for Fuzzy Rule Interpolation
... Keywords–Sparse rule base generation, fuzzy rule interpo- lation, fuzzy rule base, fuzzy inference ...are rule- based fuzzy inference systems, each of which is ...
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Dynamic Rule Modification Method For A Light-Weight Rule Engine
... Usually rule- based systems are used as base engines for context-aware services due to their clear representation of situation contexts and corresponding actions to be ...A rule set used for a ...
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A Review and Comparison of Rule Languages and Rule-based Inference Engines for the Semantic Web
... Overview Inference engines (or reasoners) are application software for computing or deriving new facts from existing knowledge ...of inference engines, our study only focus on rule-based ...
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Dynamic-link rule base in fuzzy inference system
... A dynamic-link rule base (DLRB) was introduced into the conventional fuzzy inference system for the purpose of dynamically skipping the unfired rules and linking the f[r] ...
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Interval Certitude Rule Base Inference Method using the Evidential Reasoning
... of rule-based systems is an important research area for arti- ficial intelligence and decision making, as rule base is one of the most general purpose forms for expressing human ...new ...
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Securing Valued Data by using Encryption Algorithms with the help of Inference Engine and Knowledge Base
... IV. CONCLUSION This paper focuses on selecting the appropriate algorithm depending on the value of the data or information. This paper helps to secure the data based on the value, as if the data value is high, it needs ...
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Pluggable Rule Engine
... iRODS automates data workflows, with a rule engine that permits any action to be initiated by any trigger on any server or client in the grid. iRODS enables secure collaboration, so users only need to log in ...
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Crowdsourcing Inference Rule Evaluation
... $1000. The annotation process took about one week. In tests run during development we experimented with Task 2 wording and GS examples, seeking to make the definition of entailment as clear as pos- sible. To do so we ...
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Rule Based Temporal Inference
... Additionally, present-day knowledge graphs contain partially temporally annotated facts. Time-wise knowledge can be found from patient and employee histories to event and streaming data. For instance, the fact that ...
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Minimum Scoring Rule Inference
... 7 Concluding remarks We have presented a general approach to parametric estimation theory, based on replacing the full log-likelihood by a proper scoring rule. This includes well- studied cases such as full, ...
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Joint Inference for Knowledge Base Population
... joint inference on two subtasks, maximizes their preliminary scores, fulfills the type expectations of relations and avoids global incompatibilities with respect to all local predic- tions to find an optimal ...
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IRIS - Integrated Rule Inference System
... the rule bodies looking for negated predicates containing ...which rule heads can match to this negated ...the rule-head with information about the range of term values produced at each position in ...
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Crafting a Lightweight Bayesian Inference Engine
... Terms—Bayesian inference, Bayesian theory, Inference ...AYESIAN inference is rooted from the well-known posthumous theory of Thomas Bayes that was formu- lated in the 18th century and soon adopted as ...
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