RSPOP swMATH ID: 2562 Software Authors: Ang, Kai Keng; Quek, Chai Description: RSPOP: set-based pseudo outer-product fuzzy rule identification algorithm. System modeling with neuro-fuzzy systems involves two contradictory requirements: interpretability verses accuracy. The pseudo outer-product (POP) rule identification algorithm used in the family of pseudo outer-product-based fuzzy neural networks (POPFNN) suffered from an exponential increase in the number of identified fuzzy rules and computational complexity arising from high-dimensional data. This decreases the interpretability of the POPFNN in linguistic fuzzy modeling. This article proposes a novel rough set-based pseudo outer-product (RSPOP) algorithm that integrates the sound concept of knowledge reduction from rough set theory with the POP algorithm. The proposed algorithm not only performs feature selection through the reduction of attributes but also extends the reduction to rules without redundant attributes. As many possible reducts exist in a given rule set, an objective measure is developed for POPFNN to correctly identify the reducts that improve the inferred consequence. Experimental results are presented using published data sets and real-world application involving highway traffic flow prediction to evaluate the effectiveness of using the proposed algorithm to identify fuzzy rules in the POPFNN using compositional rule of inference and singleton fuzzifier (POPFNN-CRI(S)) architecture. Results showed that the proposed rough set-based pseudo outer-product algorithm reduces computational complexity, improves the interpretability of neuro-fuzzy systems by identifying significantly fewer fuzzy rules, and improves the accuracy of the POPFNN. Homepage: http://www.mitpressjournals.org/doi/abs/10.1162/0899766052530857 Related Software: GenSoFNN; ANFIS; clusfind; R; Kernlab; DENFIS Cited in: 4 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year RSPOP: set-based pseudo outer-product fuzzy rule identification algorithm. Zbl 1092.68637Ang, Kai Keng; Quek, Chai 2005 all top 5 Cited by 7 Authors 2 Quek, Chai 1 Ang, Kai Keng 1 Durrani, Tariq Salim 1 Namdari, Alireza 1 Ng, Geok See 1 Novak, Marija Gorenc 1 Velušček, Dejan Cited in 3 Serials 2 Neural Computation 1 Quantitative Finance 1 SN Operations Research Forum Cited in 3 Fields 4 Computer science (68-XX) 2 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 1 Systems theory; control (93-XX) Citations by Year