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The rule-base

Towards sparse rule base generation for fuzzy rule interpolation

Towards sparse rule base generation for fuzzy rule interpolation

... data-driven rule base generation approach for FRI, which is able to directly generate a compact sparse rule base from ...initialised rule base are fine-tuned using a genetic ...

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improving rule base quality with rule classification PCAI 2003

improving rule base quality with rule classification PCAI 2003

... a rule-base can classify rules based on their level in this ...bottom rule does not call any other rule and should therefore be as efficient as possible, since it is potentially used by many ...

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Towards Sparse Rule Base Generation for Fuzzy Rule Interpolation

Towards Sparse Rule Base Generation for Fuzzy Rule Interpolation

... data-driven rule base generation approach for FRI, which is able to directly generate a compact sparse rule base from ...initialised rule base are fine-tuned using a genetic ...

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Rule-base reduction in Fuzzy Rule Interpolation-based Q-learning

Rule-base reduction in Fuzzy Rule Interpolation-based Q-learning

... considered being a cardinal rule, therefore it has to stay in the rule base (see Fig. 2.). Depending on the actual problem, difference in the cumulative rewards could be allowed to some degree, till ...

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Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation

... the rule base. This paper presents a data-driven rule base gener- ation approach for FRI based on the initial work re- ported in [21], which directly generates sparse rule bases from ...

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Automated rule base completion as Bayesian concept induction

Automated rule base completion as Bayesian concept induction

... the rule base itself and partly from a pre-trained word ...model rule templates in this vector space embedding using Gaussian ...given rule base, and do not require that a database with ...

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Automated Rule Base Completion as Bayesian Concept Induction

Automated Rule Base Completion as Bayesian Concept Induction

... the rule base itself and partly from a pre-trained word ...model rule templates in this vector space embedding using Gaussian ...given rule base, and do not require that a database with ...

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Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

... the rule- based system learns the features of behavior of individuals in the search space and is parallel to the search ...of rule-base is faster than the search ...this rule based finds its ...

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Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation

Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation

... Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation Jie Li, Hubert ...generate rule bases such that the input spaces can be fully ...fuzzy rule interpolation (FRI) ...

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RULE BASE IDS FOR APPLICATION LAYER USING FUZZY LOGIC

RULE BASE IDS FOR APPLICATION LAYER USING FUZZY LOGIC

... Fuzzy Rule-Base Based Intrusion Detection System on Application Layer which works in the application layer of the network ...IDS. Rule based IDS looks for the specific pattern which is defined as ...

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A New Rule - Base Modification Scheme For The Time Delay Systems

A New Rule - Base Modification Scheme For The Time Delay Systems

... The Rule-Base Shifting Scheme For the controller developed in Section 2, several shifting schemes are investigated for many time delay values and performance ...the rule-base of Table ...

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MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

... fuzzy rule base is of paramount importance in designing a fuzzy logic controller for the scheduling of ...fuzzy rule base is very high, the problem of computational burden leads to performance ...

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Designing of rule base for a TSK- fuzzy system using bacterial foraging optimization algorithm (BFOA)

Designing of rule base for a TSK- fuzzy system using bacterial foraging optimization algorithm (BFOA)

... the rule base of a fuzzy controller system and the results of achieved fuzzy system via BFOA based method (that is called BSO) are shown in comparison with some available heuristic methods and finally ...

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On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant

On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant

... with rule-base ...the rule-base simplification techniques presented in this paper have a great potential for building computational intelligence systems for monitoring and controlling ...

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An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation

An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation

... a rule base as specified in ...any rule R r is always greater than 0, ...every rule in the rule base contributes to the final inference result to a certain ...any rule ...

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RULE-BASE DATA MINING SYSTEMS FOR

RULE-BASE DATA MINING SYSTEMS FOR

... Fig 1 ERP-CRM Model 3.1 CRM Model CRM Model is responsible for receiving and sending requests and responses to the customer directly. These requests include queries, complaints, suggestions and orders are forwarded to ...

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Curvature-based sparse rule base generation for fuzzy rule

interpolation

Curvature-based sparse rule base generation for fuzzy rule interpolation

... fuzzy rule base generation and to extend the three-dimensional curvature idea into high-dimensional ...sparse rule base generation method into real-world problems, including real-world image ...

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Fuzzy modelling using a simplified rule base

Fuzzy modelling using a simplified rule base

... The conventional conjunctive form of if-then rule assumes that both input variables-(in this case, the quality of service andjbod) must be present in order to contribu[r] ...

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RULE BASE DATA MINING SYSTEMS FOR CUSTOMER QUERIES

RULE BASE DATA MINING SYSTEMS FOR CUSTOMER QUERIES

... Fig 1 ERP-CRM Model 3.1 CRM Model CRM Model is responsible for receiving and sending requests and responses to the customer directly. These requests include queries, complaints, suggestions and orders are forwarded to ...

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Dynamic-link rule base in fuzzy inference system

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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