The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
A very different suggestion to the Zadeh's rule for fuzzy inference is the least squares method proposed by T. D. Pham and Valliappan. The aim of this paper is to study the p...
In analogy to the representation of the standard probabilistic average as an expected value of a random variable, a geometric approach to aggregation is proposed. Several properti...
We characterize T-measures on weakly generated tribes, where T is a strict triangular norm and we give a Liapunoff Theorem for these measures. This generalizes previous results ob...
The issue of constructing compensation operators is discussed in this paper. We propose three construction methods, and construct a series of compensation operators by using these...
When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing ea...
Rule based systems for Fuzzy Control, Fuzzy Supervising and Fuzzy Diagnosis are non-linear multi-input, multi-output systems. The result of the signal processing within the system...
Architecture is a multidisciplinary science with many dimensions.For a design task the major part of the design requirements are often qualitative (soft) next to quantitative desi...
Risk assessment in regions with low earthquake activity is important for reinsurance companies and governmental building authorities. They need a complete picture of the possible ...