This review paper attempts to update the literature on tolerance of ambiguity (TA) and related concepts since a previous review (Furnham & Ribchester, 1995). Various related concepts like Uncertainly Avoidance and In/Tolerance of Uncertainly are reviewed. Both correlational and experimental studies of TA are reviewed and tabulated. Further, an attempt was made to identify and critique various d...

We propose a robust image matching method using statistical modeling and clustering of geometric similarity between matching-pairs. Local feature matching is an uncertain process which may provide incorrect matches due to some causes that include among other factors, the uncertainly in feature location. Since the statistical modeling of the Log Distance Ratio (LDR) for outliers are significantl...

The least-squares νth-order polynomial filtering and fixed-point smoothing problems of uncertainly observed signals are considered. The proposed estimators do not require the knowledge of the state-space model generating the signal, but only the moments (up to the 2νth one) of the signal and the observation noise, as well as the probability that the signal exists in the observations.

To better solve the complicated problem of multi-attribute group decision making (MAGDM), we proposed a systemic approach by extending TOPSIS method. Linguistic assess terms of each group member were translated into the matrix of fuzzy triangular numbers. By using the incomplete preference information, multi-steps interactive procedure was applied for evaluating, selecting, ranking and approxim...