caa a22 4500 475833848 CHVBK 20180406123848.0 cr unu---uuuuu 170329e20000501xx s 000 0 eng 10.1007/s005210070029 doi (NATIONALLICENCE)springer-10.1007/s005210070029 Orthogonal Fuzzy Rule-Based Systems: Selection of Optimum Rules [Elektronische Daten] [A. Lotfi, M. Howarth, J. B. Hull] In this paper, the concept of orthogonal fuzzy rule-based systems is introduced. Orthogonal rules are an extension to the definition of orthogonal vectors when the vectors are vectors of membership functions in the antecedent part of rules. The number and combination of rules in a fuzzy rule-based system will be optimised by applying orthogonal rules. The number of rules, and subsequently the complexity of the fuzzy rule-based systems, are directly associated with the number of input variables and distinguishable membership functions for each individual input variable. A subset of rules can be used if it is known which subset provides closer behaviour to the case when all rules are used. Orthogonal fuzzy rule-based systems are proposed as a judgment as to whether the optimal rules are selected. The application of orthogonal fuzzy rules becomes essential when fuzzy rule-based systems containing many inputs are used. An illustrative example is presented to create a model for the solder paste printing stage of surface mount tech-nology.: Springer-Verlag London Limited, 2000 Keywords: Adaptive system nationallicence Fuzzy system nationallicence Modeling nationallicence Orthogonal rules nationallicence SMT nationallicence Lotfi A. Department of Mechanical and Manufacturing Engineering, The Nottingham Trent University, Nottingham, UK, GB aut Howarth M. Department of Mechanical and Manufacturing Engineering, The Nottingham Trent University, Nottingham, UK, GB aut Hull J. B. Department of Mechanical and Manufacturing Engineering, The Nottingham Trent University, Nottingham, UK, GB aut https://doi.org/10.1007/s005210070029 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070029 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lotfi A. Department of Mechanical and Manufacturing Engineering, The Nottingham Trent University, Nottingham, UK, GB aut NATIONALLICENCE 700 1- Howarth M. Department of Mechanical and Manufacturing Engineering, The Nottingham Trent University, Nottingham, UK, GB aut NATIONALLICENCE 700 1- Hull J. B. Department of Mechanical and Manufacturing Engineering, The Nottingham Trent University, Nottingham, UK, GB aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer