Search results for "Soft computing"

showing 10 items of 45 documents

Fuzzy Set Theory as a Methodological Bridge between Hard Sciences and Humanities

2013

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 methodological 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. C

Human-Computer InteractionSoft computingDilemmaExplicationHard and soft scienceArtificial IntelligenceComputer scienceFuzzy setBridge (interpersonal)HumanitiesSoftwareTheoretical Computer ScienceInternational Journal of Intelligent Systems
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Mathematics and Soft Computing in Music

2011

Mathematics is the fundamental tool for dealing with the physical processes that explain music but it is also in the very essence of this art. Musical notes, the first elements which music works with, are defined for each tuning system as very specific frequencies; however, instrumentalists know that small changes in these values do not have serious consequences. In fact, sometimes consensus is only reached if the entire orchestra alters the theoretical pitches. The explanation for this contradiction is that musicians implicitly handle very complex mathematical processes involving some uncertainty in the concepts and this is better explained in terms of fuzzy logic. Modelling the notes as f…

Musical notationCognitive scienceSoft computingmedia_common.quotation_subjectFuzzy setMathematics educationMusical tuningContradictionFuzzy numberFuzzy logicmedia_common
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Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017)

2018

This book presents 18 carefully selected papers from the ninth edition of the International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017), which was held in Marrakesh, Morocco from December 11 to 13, 2017. A premier conference in the Soft Computing field, SoCPaR brings together the world’s leading researchers and practitioners interested in advancing the state of the art in Soft Computing and Pattern Recognition, allowing them to exchange notes on a broad range of disciplines. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering

Pattern RecognitionIntelligent SystemsComputing and ApplicationsSoft ComputingSoCPaR 2017
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Possibilistic Programming and Gas for Aggregate Production Planning under Vague Information

1999

In production planning activities, aggregate planning is surely the phase where the lack of information is more relevant. The reasons for that can be summarised in: a) the planning product is an aggregate one, very often not corresponding to actual products; b) the delay from the actual production is relevant so that information regarding actual production resources availability and performances are vague; c) the planning activity is often based on forecasts. On the other hand, all the subsequent production planning activities are based on the result of aggregate planning. In the paper a research going on at the Workgroup for Soft Computing Application in Manufacturing is presented. A Decis…

Product (business)Soft computingDecision support systemProduction planningOperations researchComputer scienceAggregate (data warehouse)Production (economics)Operations managementWorkgroupAggregate planning
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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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Introduction to the Special Issue on Soft Computing Techniques in Materials Science and Engineering

2023

This article has no abstract.

Settore ICAR/09 - Tecnica Delle CostruzioniModeling and Simulationsoft computing algorithms in engineeringSoftwareComputer Science ApplicationsComputer Modeling in Engineering & Sciences
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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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AIM: minds, morals, medicine

2011

Kazem Sadegh-Zadeh’s Handbook of Analytic Philosophy of Medicine does (among many other things) a wonderful job of introducing to the reader the idea of engaging soft computing theoretical foundations and techniques in dealing with clinical reasoning, diagnosis and representation in medical expert systems. Though massive and encyclopedic may it be, a good handbook must eschew the nitty-gritty details and the finest subtleties of implementation in order to give a cohesive and clear general view of the topic at hand. As an added bonus, this puts the interested reader in the right mindset: looking forward for a more technical analysis of what has just been hinted. Apart from revering Sadegh-Za…

Settore INF/01 - InformaticaSoft Computing AIM MedicineSettore M-FIL/02 - Logica E Filosofia Della Scienza
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Reflections on Technology and Human Sciences: rediscovering a common thread through the analysis of a few epistemological features of fuzziness

2013

A number of reasons, both historical and philosophical, has caused Technology and Human Sciences to be perceived as disjoint domains. In opposi- tion, we claim that there exists a strong methodological affinity between these apparently disconnected fields of knowledge. Our view is further corroborated by new hints from Information Sciences, in which new scientific concepts and tools such as fuzziness have emerged. Comparing the ways in which both Technology and Literature offer a model of reality we shall see that their approaches preserve a strong connection with the “description” of the pieces of reality they aim to model, against the Galileian hard sciences’ approach of making bold hypot…

Settore INF/01 - InformaticaSoft Computing Hard Sciences Fuzzy Set TheorySettore M-FIL/02 - Logica E Filosofia Della Scienza
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On the Evaluation of Images Complexity: A Fuzzy Approach (revised and expanded)

2006

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer sci- ence and cognitive psychology. Computer scientists usually analyze spa- tial dimensions, to deal with automatic vision problems, such as feature- extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an exp…

Settore INF/01 - InformaticaSoft Computing Image Processing Fuzzy sets image analysis complexity entropy mental clock internal clock
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