FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W28576920> ?p ?o ?g. }

• W28576920 endingPage "503" @default.
• W28576920 startingPage "503" @default.
• W28576920 abstract "Real world environments are characterized by high levels of linguistic and numerical uncertainties. A Fuzzy Logic System (FLS) is recognized as an adequate methodology to handle the uncertainties and imprecision available in real world environments and applications. Since the invention of fuzzy logic, it has been applied with great success to numerous real world applications such as washing machines, food processors, battery chargers, electrical vehicles, and several other domestic and industrial appliances. The first generation of FLSs were type-1 FLSs in which type-1 fuzzy sets were employed. Later, it was found that using type-2 FLSs can enable the handling of higher levels of uncertainties. Recent works have shown that interval type-2 FLSs can outperform type-1 FLSs in the applications which encompass high uncertainty levels. However, the majority of interval type-2 FLSs handle the linguistic and input numerical uncertainties using singleton interval type-2 FLSs that mix the numerical and linguistic uncertainties to be handled only by the linguistic labels type-2 fuzzy sets. This ignores the fact that if input numerical uncertainties were present, they should affect the incoming inputs to the FLS. Even in the papers that employed non-singleton type-2 FLSs, the input signals were assumed to have a predefined shape (mostly Gaussian or triangular) which might not reflect the real uncertainty distribution which can vary with the associated measurement. In this paper, we will present a new approach which is based on an adaptive non-singleton interval type-2 FLS where the numerical uncertainties will be modeled and handled by non-singleton type-2 fuzzy inputs and the linguistic uncertainties will be handled by interval type-2 fuzzy sets to represent the antecedents’ linguistic labels. The non-singleton type-2 fuzzy inputs are dynamic and they are automatically generated from data and they do not assume a specific shape about the distribution associated with the given sensor. We will present several real world experiments using a real world robot which will show how the proposed type-2 non-singleton type-2 FLS will produce a superior performance to its singleton type-1 and type-2 counterparts when encountering high levels of uncertainties." @default.
• W28576920 created "2016-06-24" @default.
• W28576920 creator A5013272931 @default.
• W28576920 creator A5041176153 @default.
• W28576920 date "2011-09-10" @default.
• W28576920 modified "2023-09-23" @default.
• W28576920 title "Adaptive Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling Numerical Uncertainties in Real World Applications" @default.
• W28576920 cites W1493083057 @default.
• W28576920 cites W1536845150 @default.
• W28576920 cites W1577564928 @default.
• W28576920 cites W1583002448 @default.
• W28576920 cites W1620561780 @default.
• W28576920 cites W1974841250 @default.
• W28576920 cites W1984643425 @default.
• W28576920 cites W1992176519 @default.
• W28576920 cites W2000976145 @default.
• W28576920 cites W2026754475 @default.
• W28576920 cites W2028680476 @default.
• W28576920 cites W2041280856 @default.
• W28576920 cites W2041835507 @default.
• W28576920 cites W2041918128 @default.
• W28576920 cites W2043792182 @default.
• W28576920 cites W2071271882 @default.
• W28576920 cites W2071415062 @default.
• W28576920 cites W2090603083 @default.
• W28576920 cites W2096403732 @default.
• W28576920 cites W2096564438 @default.
• W28576920 cites W2103624324 @default.
• W28576920 cites W2103936935 @default.
• W28576920 cites W2105234323 @default.
• W28576920 cites W2107934763 @default.
• W28576920 cites W2110930617 @default.
• W28576920 cites W2112801074 @default.
• W28576920 cites W2115886125 @default.
• W28576920 cites W2116044789 @default.
• W28576920 cites W2121055419 @default.
• W28576920 cites W2124041779 @default.
• W28576920 cites W2125717451 @default.
• W28576920 cites W2132885717 @default.
• W28576920 cites W2141403022 @default.
• W28576920 cites W2142850261 @default.
• W28576920 cites W2144205391 @default.
• W28576920 cites W2148885430 @default.
• W28576920 cites W2149360281 @default.
• W28576920 cites W2156546869 @default.
• W28576920 cites W2157041604 @default.
• W28576920 cites W2158004899 @default.
• W28576920 cites W2162706466 @default.
• W28576920 cites W2169265080 @default.
• W28576920 cites W2912565176 @default.
• W28576920 cites W564030374 @default.
• W28576920 cites W999688550 @default.
• W28576920 cites W1582223319 @default.
• W28576920 cites W2164879989 @default.
• W28576920 doi "https://doi.org/10.15837/ijccc.2011.3.2133" @default.
• W28576920 hasPublicationYear "2011" @default.
• W28576920 type Work @default.
• W28576920 sameAs 28576920 @default.
• W28576920 citedByCount "34" @default.
• W28576920 countsByYear W285769202012 @default.
• W28576920 countsByYear W285769202013 @default.
• W28576920 countsByYear W285769202014 @default.
• W28576920 countsByYear W285769202015 @default.
• W28576920 countsByYear W285769202016 @default.
• W28576920 countsByYear W285769202017 @default.
• W28576920 countsByYear W285769202019 @default.
• W28576920 countsByYear W285769202020 @default.
• W28576920 countsByYear W285769202021 @default.
• W28576920 countsByYear W285769202022 @default.
• W28576920 countsByYear W285769202023 @default.
• W28576920 crossrefType "journal-article" @default.
• W28576920 hasAuthorship W28576920A5013272931 @default.
• W28576920 hasAuthorship W28576920A5041176153 @default.
• W28576920 hasBestOaLocation W285769201 @default.
• W28576920 hasConcept C11413529 @default.
• W28576920 hasConcept C114614502 @default.
• W28576920 hasConcept C117354338 @default.
• W28576920 hasConcept C121332964 @default.
• W28576920 hasConcept C134306372 @default.
• W28576920 hasConcept C154945302 @default.
• W28576920 hasConcept C163716315 @default.
• W28576920 hasConcept C18903297 @default.
• W28576920 hasConcept C191252586 @default.
• W28576920 hasConcept C2777299769 @default.
• W28576920 hasConcept C2778067643 @default.
• W28576920 hasConcept C2779234561 @default.
• W28576920 hasConcept C33923547 @default.
• W28576920 hasConcept C34388435 @default.
• W28576920 hasConcept C41008148 @default.
• W28576920 hasConcept C42011625 @default.
• W28576920 hasConcept C54355233 @default.
• W28576920 hasConcept C58166 @default.
• W28576920 hasConcept C62520636 @default.
• W28576920 hasConcept C86803240 @default.
• W28576920 hasConceptScore W28576920C11413529 @default.
• W28576920 hasConceptScore W28576920C114614502 @default.
• W28576920 hasConceptScore W28576920C117354338 @default.
• W28576920 hasConceptScore W28576920C121332964 @default.

• next