Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384338613> ?p ?o ?g. }
- W4384338613 endingPage "1417" @default.
- W4384338613 startingPage "1417" @default.
- W4384338613 abstract "Fuzzy systems are widely used in most fields of science and engineering, mainly because the models they produce are robust, accurate, easy to evaluate and capture real-world uncertainty better than do the classical alternatives. We propose a new methodology for structure and parameter tuning of Takagi–Sugeno–Kang fuzzy models using several optimization techniques. The output parameters are determined analytically, by finding the minimum of the root-mean-square error (RMSE) for a properly defined error function. The membership functions are simplified by considering symmetry and equispacing, to reduce the optimization problem of finding their parameters, and allow it to be carried out using the numerical method of gradient descent. Both algorithms are fast enough to finally implement a strategy based on the hill climbing approach to finding the optimal structure (number and type of membership functions) of the fuzzy system. The effectiveness of the proposed strategy is shown by comparing its performance, using four case studies found in current relevant works, to the popular adaptive network-based fuzzy inference system (ANFIS), and to other recently published strategies based on evolutionary fuzzy models. In terms of the RMSE, performance was at least 28% better in all case studies." @default.
- W4384338613 created "2023-07-15" @default.
- W4384338613 creator A5005194589 @default.
- W4384338613 creator A5011632266 @default.
- W4384338613 creator A5019791569 @default.
- W4384338613 creator A5032066683 @default.
- W4384338613 creator A5057934442 @default.
- W4384338613 creator A5077393557 @default.
- W4384338613 creator A5085548317 @default.
- W4384338613 creator A5089700907 @default.
- W4384338613 creator A5092471408 @default.
- W4384338613 date "2023-07-14" @default.
- W4384338613 modified "2023-09-27" @default.
- W4384338613 title "Fuzzy Model Parameter and Structure Optimization Using Analytic, Numerical and Heuristic Approaches" @default.
- W4384338613 cites W1992176519 @default.
- W4384338613 cites W2002041997 @default.
- W4384338613 cites W2014728147 @default.
- W4384338613 cites W2019207321 @default.
- W4384338613 cites W2019606348 @default.
- W4384338613 cites W2027101567 @default.
- W4384338613 cites W2029331611 @default.
- W4384338613 cites W2042544784 @default.
- W4384338613 cites W2046738003 @default.
- W4384338613 cites W2050104415 @default.
- W4384338613 cites W2050288270 @default.
- W4384338613 cites W2061358997 @default.
- W4384338613 cites W2067966792 @default.
- W4384338613 cites W2079325629 @default.
- W4384338613 cites W2091546382 @default.
- W4384338613 cites W2094664509 @default.
- W4384338613 cites W2096016567 @default.
- W4384338613 cites W2097538524 @default.
- W4384338613 cites W2103518983 @default.
- W4384338613 cites W2108918564 @default.
- W4384338613 cites W2117370805 @default.
- W4384338613 cites W2129013743 @default.
- W4384338613 cites W2132093718 @default.
- W4384338613 cites W2151863350 @default.
- W4384338613 cites W2152161790 @default.
- W4384338613 cites W2153196467 @default.
- W4384338613 cites W2156060469 @default.
- W4384338613 cites W2158316397 @default.
- W4384338613 cites W2162635690 @default.
- W4384338613 cites W2165729498 @default.
- W4384338613 cites W2170104456 @default.
- W4384338613 cites W2760877408 @default.
- W4384338613 cites W2766476556 @default.
- W4384338613 cites W2792527526 @default.
- W4384338613 cites W2796698500 @default.
- W4384338613 cites W2910646677 @default.
- W4384338613 cites W2916471281 @default.
- W4384338613 cites W2918882650 @default.
- W4384338613 cites W2921150294 @default.
- W4384338613 cites W2921735983 @default.
- W4384338613 cites W3110103487 @default.
- W4384338613 cites W3110117711 @default.
- W4384338613 cites W3110451665 @default.
- W4384338613 cites W3111059971 @default.
- W4384338613 cites W3136304869 @default.
- W4384338613 cites W4214559588 @default.
- W4384338613 cites W43637044 @default.
- W4384338613 cites W843185653 @default.
- W4384338613 doi "https://doi.org/10.3390/sym15071417" @default.
- W4384338613 hasPublicationYear "2023" @default.
- W4384338613 type Work @default.
- W4384338613 citedByCount "0" @default.
- W4384338613 crossrefType "journal-article" @default.
- W4384338613 hasAuthorship W4384338613A5005194589 @default.
- W4384338613 hasAuthorship W4384338613A5011632266 @default.
- W4384338613 hasAuthorship W4384338613A5019791569 @default.
- W4384338613 hasAuthorship W4384338613A5032066683 @default.
- W4384338613 hasAuthorship W4384338613A5057934442 @default.
- W4384338613 hasAuthorship W4384338613A5077393557 @default.
- W4384338613 hasAuthorship W4384338613A5085548317 @default.
- W4384338613 hasAuthorship W4384338613A5089700907 @default.
- W4384338613 hasAuthorship W4384338613A5092471408 @default.
- W4384338613 hasBestOaLocation W43843386131 @default.
- W4384338613 hasConcept C105795698 @default.
- W4384338613 hasConcept C126255220 @default.
- W4384338613 hasConcept C139945424 @default.
- W4384338613 hasConcept C153258448 @default.
- W4384338613 hasConcept C154945302 @default.
- W4384338613 hasConcept C173801870 @default.
- W4384338613 hasConcept C186108316 @default.
- W4384338613 hasConcept C195975749 @default.
- W4384338613 hasConcept C33923547 @default.
- W4384338613 hasConcept C41008148 @default.
- W4384338613 hasConcept C50644808 @default.
- W4384338613 hasConcept C5263885 @default.
- W4384338613 hasConcept C58166 @default.
- W4384338613 hasConceptScore W4384338613C105795698 @default.
- W4384338613 hasConceptScore W4384338613C126255220 @default.
- W4384338613 hasConceptScore W4384338613C139945424 @default.
- W4384338613 hasConceptScore W4384338613C153258448 @default.
- W4384338613 hasConceptScore W4384338613C154945302 @default.
- W4384338613 hasConceptScore W4384338613C173801870 @default.
- W4384338613 hasConceptScore W4384338613C186108316 @default.
- W4384338613 hasConceptScore W4384338613C195975749 @default.