Uncertainty inherent in the financial market was usually consid- ered to be random. However, randomness is only one special type of uncer- tainty and appropriate when describing objective information. For describing subjective information it is preferred to assume that uncertainty is fuzzy. This paper defines the expected payoof trading strategies in a fuzzy financial market within the framewor...

This work describes the techniques used to prepare and analyze a reflectance wavelength standard composed of three rare-earth oxides. A mixture of dysprosium oxide (DY20.1), erbium oxide (Er203). and holmium oxide (Ho20) provides a pressed powder specimen exhibiting a near infrared reflectance spectrum characterized by many discrete absorption minima in the wavelength range 700 to 2000 urn. The...

An a l t e r n a t i v e approach to uncer ta in inference in exper t systems is desc r i bed which might be r e g a r d e d as a s y n t h e s i s o f t e c h n i q u e s f r o m au tomat i c i n d u c t i o n and mathematical s t a t i s t i c s . I t u t i l i s e s a type o f p a t t e r n match ing in which compar isons are made between new cases (as yet u n c l a s s i f i e d ) and a dat...

A technique for coupling an intrusive and non-intrusive uncertainty quantification method is proposed. The intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. A strongly stable coupling procedure betwee...

uncertainty inherent in the financial market was usually consid- ered to be random. however, randomness is only one special type of uncer- tainty and appropriate when describing objective information. for describing subjective information it is preferred to assume that uncertainty is fuzzy. this paper defines the expected payoof trading strategies in a fuzzy financial market within the framewor...

Residual-based control charts are popular methods for statistical process control of autocorrelated processes. To implement these methods, a time series model of the process is required. The model must be estimated from data, in practice, and model estimation errors can cause the actual in-control average run length to differ substantially from the desired value. This article develops a method ...

Using vision to measure world distances requires that both measurements and their uncer tainties can be determined and modelled The work described in this report develops the theory of computing distances using only images and an uncertainty analysis which includes both the errors in image localisation and the uncertainty in the imaging transformation We present di erent methods of estimating t...

Data uncertainty is ubiquitous in many real-world applications suchas sensor/RFID data analysis. In this paper, we investigate uncer-tain data that exhibit local correlations, that is, each uncertain ob-ject is only locally correlated with a small subset of data, whilebeing independent of others. We propose a generic framework fordealing with this kind of uncertain and local...

The Dempster Shafer theory of evidence has been used intensively to deal with uncer tainty in knowledge based systems How ever the representation of uncertain rela tionships between evidence and hypothesis groups heuristic knowledge is still a major research problem This paper presents an ap proach to representing such heuristic knowl edge by evidential mappingswhich are de ned on the basis of ...