Istvan Bogardi

TL;DR: A general methodology for fuzzy regression is developed and illustrated by an actual hydrological case study involving the relationship between soil electrical resistivity and hydraulic permeability and the results can be interpreted to provide a valuablehydrological decision-making aid.

TL;DR: The fuzzy rule-based approach has potential to be applicable to the classification of GCM produced daily CPs for the purpose of predicting the effect of climate change on space-time precipitation over areas where only a rudimentary classification exists or where none at all exists.

TL;DR: F fuzzy sets and fuzzy arithmetic are applied to incorporate imprecise information into transport modeling of nonreactive solute materials in groundwater flow to allow the subjective information to be incorporated in system modeling in a formal algorithm.

TL;DR: In this article, a methodology based on fuzzy set theory is developed to incorporate imprecise parameters into steady state groundwater flow models, where fuzzy numbers are used as a measure for the uncertainty associated with the hydraulic heads due to the imprecision in the input parameters.

TL;DR: In this article, five techniques for combining expert opinions or imprecise estimates of a physical variable into a single fuzzy number estimate are developed and seven characteristics of the combination technique are defined; namely, agreement preservation, order independence, transformation variance, possibility conservation, possibility interval conservation, relationship between uncertainty of individual estimates and overall uncertainty, and desirability of resultant estimate.