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Fuzzification of Zero Forcing Process
New Mathematics and Natural Computation, 2020In this paper, we investigate the fuzzification of zero forcing process. For this, first we introduce a new embedding of a graph [Formula: see text] by considering a minimal zero forcing set of [Formula: see text] and an arbitrary list of maximal forcing chains of this zero forcing set.
Rajab Ali Borzooei +4 more
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A Defuzzification Method Respecting the Fuzzification
Fuzzy Sets and Systems, 1997Abstract When designing a fuzzy controller, the first thing to do is to choose input and output fuzzifications. The next step consists of building the fuzzy rules table describing the behaviour of the controller. Finally, in order to convert the fuzzy output in a usable form, we need to select a defuzzification strategy.
Ruben Ruelas, M Lamotte
exaly +3 more sources
Science of the Total Environment, 2020
Visible and near-infrared (Vis-NIR) reflectance spectroscopy continues to emerge as a rapid and effective approach for estimating several soil physical and chemical properties including soil organic matter (SOM), but its accuracy is restricted by many ...
Li-Xin Lin, Xi-Xi Liu
semanticscholar +1 more source
Visible and near-infrared (Vis-NIR) reflectance spectroscopy continues to emerge as a rapid and effective approach for estimating several soil physical and chemical properties including soil organic matter (SOM), but its accuracy is restricted by many ...
Li-Xin Lin, Xi-Xi Liu
semanticscholar +1 more source
Fuzzification of Rational and Recognizable Sets
Fundamenta Informaticae, 2007In this paper we present a different framework for the study of fuzzy finite machines and their fuzzy languages. Unlike the previous work on fuzzy languages, characterized by fuzzification at the level of their acceptors/generators, here we follow a top-down approach by starting our fuzzification with more abstract entities: monoids and particular ...
Stavros Konstantinidis +2 more
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Fuzzification of vector-valued functions
Fuzzy Sets and Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Ultra Short-Term Solar Irradiance Forecast Based on Multimodal Data Fusion and Fuzzification
IEEE Transactions on Industrial InformaticsThe intermittency of solar irradiance is the main cause of rapid fluctuations in the power output of photovoltaic (PV) systems. These fluctuations hinder the large-scale integration of solar power generation equipment into the grid, which in turn hinders
Xiang-Sen Wei +5 more
semanticscholar +1 more source
Fuzzification of Spiked Neural Networks
2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 2008Biological systems are slow, wide and messy whereas computer systems are fast, deep and precise. Fuzzy neural networks use fuzzy logic to implement higher level reasoning and incorporate expert knowledge into the system while neural networks deal with the low level computational structures capable of learning and adaptation.
David C. Reid, Maybin K. Muyeba
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A Method for the Fuzzification of Categorical Variables
2006 IEEE International Conference on Fuzzy Systems, 2006Besides the numeric variables which are common in fuzzy modeling, some variables involved in the description of specific behaviors are categorical. Such variables are discrete, have no order a-priori, and most of the time handle a large amount of values (e.g., genes, proteins, countries, religions, etc.).
Etienne Jodoin +2 more
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On fuzzification of topological categories
Fuzzy Sets and Systems, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Fuzzification of the Relational Data Model
Database Systems for Advanced Applications '93, 1993Expression and processing of vagueness, which has many real world applications, is not handled effectively in the conventional relational model. In this paper we investigate a fuzzy extension to the relational data model and propose three fuzzy relational query languages.
Doheon Lee +3 more
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