We investigate adaptation under a reaching task with an acceleration-based force field perturbation designed to alter the nominal straight hand trajectory in a potentially benign manner: pushing the hand off course in one direction before subsequently restoring towards the target. In this particular task, an explicit strategy to reduce motor effort requires a distinct deviation from the nominal...

The least-squares mth-order polynomial filtering and fixed-point smoothing problems of uncertainly observed discretetime signals are considered, when the variables describing the uncertainty in the observations are non-independent. By defining suitable augmented signal and observation vectors, the polynomial estimation problem of the signal is reduced to the linear estimation problem of the aug...

Many businesses offer their services to customers via Webbased application interfaces. Reasoning about execution flows of such applications is extremely valuable for companies. Such reasoning must often operate under terms of uncertainty and partial information, due to partial tracing, effects of unknown external parameters, and more. The objectives of this research are (1) to define models for...

Since the information used in a Geographic Information System has a certain degree of uncertainly, in general classical mathematics models should not be applied to solve geographical problems computationally. Therefore, probabilistic or fuzzy-related methods should be considered, in order to model the behaviour of real problems that have to be solved by or with a Geographic Information System. ...

This paper describes a theory of reasoning about uncertainly, based on a representation of state'i of certainly called endorsements (see Cohen and Grinberg, 1983, for a more detailed discussion of the theory.) The theory of endorsements is an alternative to numerical methods for reasoning about uncertainty, such as subjective Bayesian methods (Shortliffe and Buchanan, 1975; Duda, Hart, and Nils...

supplier selection is a multi-criteria problem. this study proposes a hybrid model for supporting the suppliers’ selection and ranking. this research is a two-stage model designed to fully rank the suppliers where each supplier has multiple inputs and outputs. first, the supplier evaluation problem is formulated by data envelopment analysis (dea), since the regarded decision deals with uncertai...

Detecting forest degradation from satellite observation data is of great significance in revealing the process decreasing quality and giving a better understanding regional or global carbon emissions their feedbacks with climate changes. In this paper, quick applicable approach was developed for monitoring Three-North Forest Shelterbelt China multi-scale remote sensing data. Firstly, Normalized...

Supplier selection is a multi-Criteria problem. This study proposes a hybrid model for supporting the suppliers’ selection and ranking. This research is a two-stage model designed to fully rank the suppliers where each supplier has multiple Inputs and Outputs. First, the supplier evaluation problem is formulated by Data Envelopment Analysis (DEA), since the regarded decision deals with uncertai...

Most of the existing approaches for fuzzy reliability analysis are based on fuzzy probability.  The aim of this paper is to describe fuzzy reliability using fuzzy differential equation. The reliability of a system in real world applications is affected by some uncertain parameters. Fuzzy reliability is a way to present the reliability function uncertainly using fuzzy parameters. In the proposed...

Hartree-Fock approximation suffers from two inabilities including i) the divergence of electron Fermi velocity , and ii) existence bandwidth not confirmed experimentally. Here, we study effects minimal length on ground state energy gas in approximation. Our results indicate that considering some mathematical terms, similar to those used for correction Hamiltonian system, can eliminate weaknesse...