Search results for " Soft computing"

showing 6 items of 6 documents

Prediction of concrete materials compressive strength using surrogate models

2022

Using soft computing methods could be of great interest in predicting the compressive strength of Ultra-High-Performance Fibre Reinforced Concrete (UHPFRC). Therefore, this study developed four soft computing techniques. The models are the Linear- relationship (LR), pure quadratic, M5P-tree (M5P), and artificial neural network (ANN). The models were trained and developed using 306 datasets comprising 11 input parameters, including the curing temperature (T), the water-to-cement ratio (w/c), silica fume (SF), cement content (C), fiber content (Fb), water (W), sand content (S), superplasticizer (SP), fiber aspect ratio (AR) and curing time (t). Experimental results were used and compared to t…

Settore ICAR/09 - Tecnica Delle CostruzioniArchitectureArtificial neural networks Compressive strength Concrete materials Fiber aspect ratio Silica fume Soft computing UHPFRCBuilding and ConstructionSafety Risk Reliability and QualityCivil and Structural Engineering
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APHSC, a forum for the debate on philosophical and historical aspects of Soft Computing.

2013

Settore INF/01 - InformaticaSettore M-FIL/02 - Logica E Filosofia Della ScienzaPhilosophy of Soft Computing History of Soft Computing
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FUZZINESS: the emergence of a new scientific concept

2011

Fuzziness Fuzzy Set Theory Soft ComputingSettore INF/01 - Informatica
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Fuzzy Set Theory as a methodological bridge between hard science and humanities

2014

In this paper, we will investigate the possible role of fuzzy set theory (FST), and more generally the ensemble of technologies and theoretical approaches known as soft computing, as a method- ological bridge between hard sciences and humanities. We will try, building on previous works, to investigate the “family links” between these disciplines and show how FST may be of help in promoting a connection between the “two cultures”. We will discuss Carnap and his paradox of explication, the dilemma between imagination and rigor according to Bateson, the problem of interdisciplinarity, and the consequences of precision and exactness.

Fuzzy Sets Soft Computing EpistemologySettore INF/01 - InformaticaSettore M-FIL/02 - Logica E Filosofia Della Scienza
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Some reflections on Fuzzy Set Theory as an Experimental Science

2014

The aim of this paper is to open a critical discussion on the claim, recently presented in the community and especially heralded by Enric Trillas, that fuzzy logic should be seen as an “experimental science”. The first interesting aspect of such remark is whether and in which way such position has consequences on the real development of the research, or if it is simply a (different) way of looking at the same phenomenon. As a consequence, we investigate the possible connection to Zadeh’s distiction between Fuzzy logic in a restricted sense and in a general sense. We shall argue that Trillas’s claim not only strongly supports the necessity for such a distinction, but provides a path of inves…

Soft computingFuzzy Sets Soft Computing Theoretical Computer ScienceSettore INF/01 - InformaticaConnection (vector bundle)Fuzzy setExperimental scienceSettore M-FIL/02 - Logica E Filosofia Della ScienzaFuzzy logicEpistemologyDevelopment (topology)PhenomenonPath (graph theory)AlgorithmMathematics
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Explicandum vs Explicatum and Soft Computing

2010

The aim of this paper is twofold. First af all I want to present some old ideas revisited in the light of some of the many interesting new developments occurred in the course of these last ten years in the field of the foundations of fuzziness. Secondly I desire to present a tentative general framework in which it is possible (or at least it is possible FOR ME) to compare different attitudes and different approaches to the clarification of the conceptual problems arising from fuzziness and soft computing.

Settore INF/01 - Informaticafuzziness soft computing Zadeh Carnap "explicandum" "explicatum"
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