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CHROME: a model-driven component-based rule engine
(Universidade Federal de Pernambuco, 2014)
Gradual Liquid Type Inference
(2018)
Refinement types allow for lightweight program verification by enriching types with logical predicates. Liquid typing provides a decidable refinement inference mechanism that is convenient but subject to two major issues: ...
Inference and Reconciliation in a Crowdsourced Lexical-Semantic Network
(Revista Computación y Sistemas; Vol. 17 No.2, 2013-06-07)
Abstract. Lexical-semantic network construction and
validation is a major issue in NLP. No matter the
construction strategies used, automatically inferring new
relations from already existing ones is a way to improve
the ...
Inference engine based on closure and join operators over Truth Table Binary Relations
(Elsevier, 2014-02)
We propose a conceptual reasoning method for an inference engine. Starting from a knowledge base made of decision rules, we first map each rule to its corresponding Truth Table Binary Relation (TTBR), considered as a formal ...
Reducing the gap between mobile and intelligent software agents
(Int Inst Informatics & Systemics, 2001-01-01)
This paper presents an approach to integrate an artificial intelligence (AI) technique, concretely rule-based processing, into mobile agents. In particular, it focuses on the aspects of designing and implementing an ...
Estimation of combustion engine technical state by multidimensional analysis using SVD method
(Inderscience Enterprises Ltd., 2013-01-01)
The changes of vibration estimators as a result of engine maladjustment, waste, damage or failure are the main idea of vibrodiagnostic investigation. Diagnostic investigations that use vibration to determine the technical ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...