The paper presents a generic procedure for construction of multi-dimensional utility in the case of mutual utility independence of base vector attributes, and of fuzzy rationality (i.e. when preferences of the decision maker only partially obey the rationality axioms). The procedure incorporates techniques for direct elicitation of multi-dimensional utilities, techniques for elicitation of one-...

Direct volume rendering (DVR) is an effective way to visualize 3D vascular images for diagnosis of different vascular pathologies and planning of surgical treatments. Angiograms are typically noisy, fuzzy, and contain thin vessel structures. Therefore, some kinds of enhancements are usually needed before direct volume rendering can start. However, without visualizing the 3D structures in angiog...

 Background: Consequences of cerebral palsy in adulthood can affect physical, psychological capabilities and quality of life. The purpose of this study was to investigate the relationship between quality of life with spasticity and level of motor function in Iranian young adults with spastic cerebral palsy who were community dweller. Methods: In an analytical cross sectional study, 77 participa...

A compact analog programmable multidimensional radialbasis-function (RBF)-based classifier is demonstrated in this chapter. The probability distribution of each feature in the templates is modeled by a Gaussian function that is approximately realized by the bell-shaped transfer characteristics of a proposed floating-gate bump circuit. The maximum likelihood, the mean, and the variance of the di...

Multi-dimensional Transfer Functions (MDTFs) are increasingly used in volume rendering to produce high quality visualizations of complex data sets. A major factor limiting the use of MDTFs is that the available design tools have not been simple enough to reach wide usage outside of the research context, for instance in clinical medical imaging. In this paper we address this problem by defining ...

Direct volume rendering of field data can be accomplished through a correct choice of transfer functions that map data values to visual properties such as transparency and color. Such one-dimensional transfer functions, especially when specified through trial and error selection, often prove inadequate for producing correct and informative visualizations. In this paper, we consider multi-dimens...

We present a cooperative, multistep negotiation mechanism for multiagent systems. This mechanism uses marginal utility gain and marginal utility cost to structure the negotiation process. This enables an agent to understand another agent’s situation in order to find a solution that increases their combined utility. These two values summarize the agent’s local information and reduce the communic...

In this paper, global optimization (GO) Lipschitz problems are considered where the multi-dimensional multiextremal objective function is determined over a hyperinterval. An efficient one-dimensional GO method using local tuning on the behavior of the objective function is generalized to the multi-dimensional case by the diagonal approach using two partition strategies. Global convergence condi...

The present article considers the situation in which the buyer’s taste and budget are his private information. In this multi-dimensional setting, we study the optimal mechanism through a canonical mechanism in the traditional one-dimensional context: a function of one variable, the buyer’s taste. In our multi-dimensional context, however, this is an indirect mechanism. We investigate the effect...