Results 271 to 280 of about 33,963 (308)

A probabilistic theory of measurement

Measurement, 2006
Abstract In this paper we propose a complete probabilistic theory of measurement. This theory includes a probabilistic representation for order, interval and ratio scales and a probabilistic description of the measuring system and of the measurement process.
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Measurement uncertainty: A probabilistic theory for intensive entities

Measurement, 1995
The need of technically assessing the properties of an increasing number of objects requires a considerable effort, for issuing the metrological standards, granting theoretical and practical traceability of both the ranking scales and the accuracy figures.
Michelini R. C., Rossi G. B.
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A Probabilistic Theory of Extensive Measurement

Philosophy of Science, 1980
Algebraic theories for extensive measurement are traditionally framed in terms of a binary relation ≲ and a concatenation (x,y) → xy. For situations in which the data is “noisy,” it is proposed here to consider each expression y ≲ x as symbolizing an event in a probability space.
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A probabilistic approach to the threshold error reduction theory in bistable measurement devices

IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222), 2002
The notion of noise activated system has been well known since the 1950s. A lot of natural phenomena have been investigated by means of this theory. The improvement of several system performances have been performed as well. One of the most important techniques based on noisy forcing signal is the well known dithering.
ANDO', Bruno, BAGLIO, Salvatore, GRAZIANI, Salvatore, Pitrone N.   +3 more
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Probabilistic Measurement Theory

1991
Measurement theories formulated in algebraic terms are usually unsuitable for direct confrontation with empirical data. Probabilistic measurement theory involves a recasting of measurement models in a form better suited to empirical testing. Interestingly, the statistical models which arise in this way have received little attention in the statistical ...
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A Multi-Attribute Group Decision Making Method Based on Novel Distance Measures and Regret Theory Under Probabilistic Dual Hesitant Fuzzy Sets

Journal of Intelligent & Fuzzy Systems, 2023
As a decision information preference which includes membership degree (MD), non-membership degree (NMD), and probability, the probabilistic dual hesitant fuzzy set (PDHFS) is a crucial tool for effectively expressing uncertain information. In the domains of multi-attribute decision making (MADM) and multi-attribute group decision making (MAGDM ...
Pingping Wang, Jiahua Chen
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Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters

2006
We introduce novel dissimilarity to properly measure dissimilarity among multiple clusters when each cluster is characterized by a probability distribution. This measure of dissimilarity is called redundancy-based dissimilarity among probability distributions.
Kazunori Iwata 0001, Akira Hayashi
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A probabilistic theory of indexing and similarity measure based on cited and citing documents

Journal of the American Society for Information Science, 1985
AbstractA new model of viewing a document based on the citingcited relationship between documents is introduced. Using Bayes' decision theory, it is shown how a source document may be indexed and weighted by its set of relevant cited or citing document features, corresponding to a one pass relevance feedback Model 1 (probabilistic indexing) or Model 2 (
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Probabilistic Unified Risk Estimation: General Survival Theory (GST) and TTX Risk Measures

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
Although intelligent Advanced Driving Assistance Systems and Autonomous Driving technologies are becoming ubiquitous, efficient and safe driving in dynamic, narrow or congested environment remains a theoretical and technological challenge. The reason mainly lies in the complexity of handling prediction and uncertainty, which are the fundamental ...
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Measuring information provided by language model and acoustic model in probabilistic speech recognition: Theory and experimental results

Speech Communication, 1990
Abstract In probabilistic speech recognition it is often interesting to evaluate the contribution of the language model and that of the acoustic model. We propose an information theoretical approach which takes into account the interaction between the two sources of information.
Marco Ferretti, Giulio Maltese, Stefano Scarci   +2 more
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