The major prevailing challenges for Software Projects are Software Estimations like cost estimation, effort estimation, quality estimation and risk analysis. Though there are several algorithmic cost estimation models in practice, each model has its own pros and cons for estimation. There is still a need to find a model that gives accurate estimates. This paper is an attempt to experiment diffe...

In this paper, we propose a scalar variable formation of fuzzy regression model based on the axiomatic credibility measure foundation. The fuzzy estimation for fuzzy regression coefficients is investigated. A general M-estimation criterion is developed under Maximum Fuzzy Uncertainty Principle, which resulted in weighted Normal equation with adjusted term for M-estimator of the regression coeff...

This paper studies fuzzy filtering design for a class of nonlinear discrete-time uncertain stochastic systems. First, the Takagi and Sugeno fuzzy model is proposed to approximate a nonlinear discrete-time uncertain stochastic system. Next, based on the fuzzy model, the fuzzy estimation for nonlinear discrete-time uncertain stochastic systems is studied. Using a suboptimal approach, the fuzzy es...

The fuzzy virtual object is proposed based on fuzzy modelization of the moving objects in dynamic environments. The fuzzy virtual object is defined as a fuzzy set whose membership function contains the objects’ motion information. It provides a basis of motion control for mobile robots in dynamic environments. A new method of real-time fuzzy robot control is proposed based on the fuzzy environm...

In the inertial motion capture system, the model complexity and the large amount of computation make the completion of the orientation estimation algorithm rely solely on PC. Because the data processing speed is slow, it is difficult to realize high-speed motion tracking in the embedded system. In order to further expand the application of the motion tracking technology, this paper introduces a...

Some asymptotic properties of point estimation with n-dimensional fuzzy data with respect to a special L2-metric ρ are investigated in this paper. It is shown that the collection of all n-dimensional fuzzy data endowed with the ρ-metric is a complete and separable space. Some criterions for point estimation in such fuzzy environments are proposed and the sample mean and variance and covariance ...

Motion estimation plays an important role in video coding schemes by removing temporal redundancies that exist in image sequences. Motion information that is required in motion compensated prediction is transmitted as side information, as in forward motion estimation, or can be computed at the receiver in backward motion estimation. The former method has the advantage of more accurate predictio...

It is shown that the problem of independent motion detection can be addressed by analyzing constraints on low-dimensional directional (projected) components of ow elds. We construct a robust algorithm, implemented as a recursive lter, to extract directional motion parameters from long image sequences. Based on this a qualitative approach is described to detect independent motion, involving a co...

Software cost estimation is a challenging and onerous task. Estimation by analogy is one of the expedient techniques in software effort estimation field. However, the methodology utilized for the estimation of software effort by analogy is not able to handle the categorical data in an explicit and precise manner. Early software estimation models are based on regression analysis or mathematical ...