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An analysis of four uncertainty calculi

IEEE Transactions on Systems, Man, and Cybernetics, 1988
An important issue faced by contemporary artificial intelligence workers is how to deal with uncertain information. Four of the more prominent calculi-probability theory (especially the Bayesian approach), the Dempster-Shafer theory, fuzzy set theory, and the MYCIN and EMYCIN calculi-are examined.
Steven J. Henkind, Malcolm C. Harrison
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On Chu spaces in uncertainty analysis

International Journal of Intelligent Systems, 2000
Summary: A very general algebraic framework, known as Chu spaces, has recently been systematically used in modeling of information flow in distributed systems and in modeling of concurrency in computer science. In this paper, we explore this framework in the context of uncertainty modeling and analysis.
Hung T. Nguyen 0002, Nhu T. Nguyen
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Uncertainty Management and Sensitivity Analysis

2017
Uncertainty is always there and LCA is no exception to that. The presence of uncertainties of different types and from numerous sources in LCA results is a fact, but managing them allows to quantify and improve the precision of a study and the robustness of its conclusions.
Rosenbaum, Ralph   +2 more
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Investment Analysis Under Uncertainty

Management Science, 1969
Investment projects are described in this paper as a pattern of uncertain cash flows over time; i.e., as a cash flow pattern over an event tree. Whereas the portfolio problem of selecting projects generally requires simultaneous consideration of all available projects, here we seek sufficient conditions for accepting and rejecting individual projects.
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A Concept Analysis of Uncertainty in Illness

Journal of Nursing Scholarship, 2002
Purpose:To examine the concept of uncertainty in illness and to propose an alternate model of uncertainty in the illness experience.Organizing construct and methods:Following a review of the literature, Morse's description of concept analysis by critically appraising the literature was used as a guideline in examining the concept of uncertainty ...
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Fuzzy Arithmetic for Uncertainty Analysis

2013
When the theory of fuzzy sets arose as a new mathematical concept in the field of information processing some 50 years ago, it rapidly advanced to becoming a well-established scientific discipline and a challenging object of both theoretical research and practical application. Since its introduction by Lotfi A.
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