Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms
(2000) : Jain, Lakhmi C. Martin, N.M
isbn: 1571690638
#neural_network #genetic_algorithm #machine_learning #fuzzy_logic #text_book #my_bibtexType-2 Fuzzy Sets Made Simple
(2002) : Mendel, Jerry M John, RI Bob
DOI:
https://doi.org/10.1109/91.995115#type_2_interval #fuzzy_logic #my_bibtex
Type-2 fuzzy sets made simple
Type-2 fuzzy sets let us model and minimize the effects of uncertainties in rule-base fuzzy logic systems. However, they are difficult to understand for a variety of reasons which we enunciate. In this paper, we strive to overcome the difficulties by: (1) establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also let us define such sets very precisely, (2) presenting a new representation for type-2 fuzzy sets, and (3) using this new representation to derive formulas for union, intersection and complement of type-2 fuzzy sets without having to use the Extension Principle.
Alternative Logics for Approximate Reasoning in Expert Systems
(1985) : Whalen, Thomas Schott, Brian
DOI:
https://doi.org/10.1016/s0020-7373(85)80007-9#fuzzy_logic #expert_system #inference #logic #my_bibtexImproving Data Exploration in Graphs With Fuzzy Logic and Large-Scale Visualisation
(2017) : Miguel Molina-Solana and David Birch and Yi-ke Guo
DOI:
https://doi.org/10.1016/j.asoc.2016.12.044#HCI #UI #exploration #fuzzy_logic #graph #large_scale #vi#my_bibtexImproving Data Exploration in Graphs With Fuzzy Logic and Large-Scale Visualisation
(2017) : Miguel Molina-Solana and David Birch and Yi-ke Guo
DOI:
https://doi.org/10.1016/j.asoc.2016.12.044#HCI #UI #exploration #fuzzy_logic #graph #large_scale #vi#my_bibtexAlternative Logics for Approximate Reasoning in Expert Systems: a Comparative Study
(1985) : Thomas Whalen and Brian Schott
DOI:
https://doi.org/10.1016/s0020-7373(85)80007-9#fuzzy_logic #inference #expert_system #logic#my_bibtex
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