we study the problem of reconstructing binary images from four projections data in a fuzzy environment. given the uncertainly projections,w e want to find a binary image that respects as best as possible these projections. we provide an iterative algorithm based on fuzzy integer programming and linear membership functions.

We study the problem of reconstructing binary images from four projections data in a fuzzy environment. Given the uncertainly projections,w e want to find a binary image that respects as best as possible these projections. We provide an iterative algorithm based on fuzzy integer programming and linear membership functions.

Reportedly, guaranteeing the controllability of the estimated system is a crucial problem in adaptive control. In this paper, we introduce a least squares-based identiication algorithm for stochastic SISO systems, which secures the uniform con-trollability of the estimated system and presents closed-loop identiication properties similar to those of the least squares algorithm. The proposed algo...

A current popular approach to representing time in Bayesian belief networks is through Dynamic Bayesian Networks (DBNs) (Dean & Kanazawa 1989). DBNs connect sequences of entire Bayes networks, each representing a situation at a snapshot in time. We present an alternative method for incorporating time into Bayesian belief networks that utilizes abstractions of temporal representation. This metho...

A new generalization of the exponential distribution, namely generalized mixture is introduced. Some its basic properties, such as hazard function, moments, order statistics, mean deviation, measures uncertainly, and reliability probability, are studied. Three different estimation methods investigated by maximum likelihood estimator, least-square weighted estimator. The performances estimators ...

Whenever a new and previously unrecognized medical condition enters our consciousness, considerable confusion and uncertainly can ensue. If a patient is afflicted by such a disease state, the natural reaction is, “I have never heard of what I have,” triggering considerable personal and family anxiety. Such is the case with the condition we now call takotsubo cardiomyopathy, which has received c...

Motivated by the widespread use of networked and embedded control systems, an algorithm for stability analysis is proposed for sampled-data feedback control systems with uncertainly time-varying sampling intervals. The output feedback case with a dynamic compensator is considered. The algorithm is based on the robustness of related discrete-time systems against perturbation caused by the variat...

Molodtsov introduced the concept of soft set theory, which can be seen and used as a new mathematical tool for dealing with uncertainly. In this paper we introduce and initiate the study of soft m-ary semihypergroups by using the soft set theory. The notions of soft m-ary semihypergroups, soft m-ary subsemihypergroups, soft j-hyperideals, soft hyperideals, soft quasi-hyperideals and soft bi-hyp...