This paper describes our studies on perception of virtual object locations. We explore the behavior of various factors related to depth perception, especially the interplay of fuzziness and binocular disparity. Experiments measure this interplay with the use of a three- dimensional display. Image fuzziness is ordinarily seen as an effect of the aerial perspective in two-dimensional displays for distant objects. We found that it can also be a source of depth representation also in three-dimensional display space. This effect occurs with large individual variations, and for subjects who have good stereopsis it does not significantly affect their depth perception. However, it can be a very strong depth cue for subjects who have weak stereopsis. A subsequent experiment measured the effects when both size and brightness of sharp stimuli are adjusted to a standard fuzzy stimulus. The results suggest that the fuzziness cue at short range is explained by other cues (i.e. the size cue and the brightness cue). This paper presents results of a series of such experiments.
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society ISSN:0818671262,9780818671265 Publication-Date:1995 Page:668-673
Both cognitive and noncognitive uncertainties can be present in the same variable. The non-cognitive uncertainty of a variable can be described by its own probability density function (PDF); whereas the cognitive uncertainty of a random variable can be described by the membership function for its fuzziness and its /spl alpha/-cuts. A PDF called fuzzy-random PDF is proposed in this paper based on considering the combined effects of both cognitive and non-cognitive uncertainties for the variable. The variable is assumed to have a fuzzy mean and a non-fuzzy standard deviation. The fuzzy-random PDF is defined as the marginal density function of the multiplication of its normalized membership function and its random distribution. Relationships for the means and variances among the fuzzy-random distribution, normalized membership function, and random distribution were developed. The moments method and discrete method were proposed for dealing with the fuzzy-random PDF.
There are probably as many definitions of fuzzy uncertainty as there are books on the subject. Many of these definitions are relatively experiential or abstract. Fuzzy uncertainty is actually a very complex concept-much more complex than any experiential definition would lead us to believe. This paper aims to state the essentials of fuzziness of incompleteness which is far from the subjective fuzziness that has being studied in many literatures. In this paper, the principle of information diffusion is introduced to deal with incomplete fuzzy information and a normal diffusion method is discussed. It is show that information diffusion methods have obvious advantages and application prospects.
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society ISSN:0818671262,9780818671265 Publication-Date:1995 Page:483-488
Classical two-valued logic has been thought to be inadequate as a logic of fuzzy predicates, because the interpretation of a predicate in classical two-valued logic is just a set of objects, and a set is a precise mathematical entity with nothing fuzzy about it. The aim of this paper is to show that fuzziness may, after all, be successfully modelled in classical two-valued logic via (i) the introduction of a notion of weak negation, where natural language occurrences of 'not' are not necessarily translated into logic as '/spl sim/', and (ii) giving fuzzy predicates recursively enumerable but not recursive interpretations. The model developed is computer-implementable and well-motivated.
I suggested that all experience can be construed as meaning organized into networks of classes. This includes our experience of the abstract relation of classification-the relation of being a member of a class. Class-membership is itself construed as a class in the network of classes; more specifically, it is construed by the intersection of 'intensive' and 'ascriptive' in the system network. In conclusion, I identify one of the ways my discussion has been restricted: I have focused an language as a resource for construing experience since the point of departure was Zadeh's remarks about human thought. 'Construing experience' is one of the three generalized functions of language the ideational function. The other two are the interpersonal and textual functions, and both of these are also inherently fuzzy.
We compare several possible approaches to the measurement of similarity and differences in visual information management systems. For many visual information retrieval applications, it is important to order the data according to a scale as close as possible to the human judgement. Traditional techniques based on the measurement of Euclidean distance between points in feature space prove often unsatisfactory. Data about the measurement of similarity can be derived from the psychological literature. F. Attneave (1950) performed a series of experiments to measure how the perception of similarity changed when a number of features of the stimulus were changed continuously. His findings definitely rejected the hypothesis that the human perceptual system may compute a Euclidean distance between the two stimuli it compares. He found a strong nonlinearity that suggested that the same variation in the features was weighted more when the two stimuli were very similar than when the two stimuli were wide apart. Also, he supported experimentally an hypothesis due to Householder that distances along independent perceptual axes were summed, as in the "city block" distance.