作者: Madhusudan Singh , Vamsi K. Madasu , Smriti Srivastava , M. Hanmandlu
关键词: Fuzzy classification 、 Membership function 、 Fuzzy set operations 、 Type-2 fuzzy sets and systems 、 Neuro-fuzzy 、 Defuzzification 、 Fuzzy measure theory 、 Mathematics 、 Fuzzy number 、 Data mining
摘要: For dealing with adjacent input fuzzy sets having overlapping information, non-additive rules are formulated by defining their consequent as a function of measures, i.e., simple form Choquet integral. The measures aggregate the information from using λ-measure. defuzzified output these is also in general underlying model investigated for both identification and control non-linear systems. this involves strength known functions densities required to compute unknown be estimated. use q-measure provides more flexible powerful way simplifying computation λ-measure used take account interaction between sets. This has been successfully applied real life problem verifying authenticity offline signatures.