POPFNN-AARS(S): A pseudo outer-product based fuzzy neural network

A novel fuzzy neural network, the Pseudo Outer-Product-based Fuzzy Neural Network using the singleton fuzzifier together with the Approximate Analogical Reasoning Schema, is proposed in this paper. This network shall henceforth be referred to as the singleton fuzzifier POPFNN-AARS. The singleton fuzzifier POPFNN-AARS employs the Approximate Analogical Reasoning Schema (AARS) [13] instead of the commonly used Truth Value Restriction (TVR) method [19], This makes the structure and learning algorithms of the singleton fuzzifier POPFNN-AARS simpler and conceptually clearer than those of the POPFNN-TVR model [20]-[22]. Different Similarity Measures (SM) and Modification Functions (FM) [23] for AARS are investigated. The structures and learning algorithms of the proposed singleton fuzzifier POPFNN-AARS are presented. Several sets of real-life data are used to test the performance of the singleton fuzzifier POPFNN-AARS and their experimental results are presented for detailed discussion.