Fuzzy Logic Models

TL;DR: In this paper, a knowledge discovery procedure for extracting knowledge of soil-landscape models from a soil map is developed, which consists of four major steps: data preparation, data preprocessing, pattern extraction, and knowledge consolidation.

TL;DR: In this article, the authors present two types of temporal trajectories that document change in soil phosphorus (P) and pedo-patterns in Water Conservation Area 2, a subtropical wetland in the Everglades, Florida.

TL;DR: In this paper, an individual sample-based predictive soil mapping (iPSM) method has been developed to estimate the reliability of soil-environment relationship at each sample location and to evaluate the trustworthiness of prediction at each unvisited location.

TL;DR: In this paper, a method combining decision tree analysis and the construction of fuzzy membership functions is introduced for a GIS-based mapping of decomposition indicating parameters, which proves to be suitable for modeling the spatial distribution of indicators of decomposi...

TL;DR: A FORTRAN-IV coding of the fuzzy c -means (FCM) clustering program is transmitted, which generates fuzzy partitions and prototypes for any set of numerical data.

TL;DR: Fuzzy set theory, which is a generalization of Boolean algebra to situations where data are modelled by entities whose attributes have zones of gradual transition, rather than sharp boundaries, offers a useful alternative to existing methodology.