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Intelligent systems for decision support ...
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Wu, Dongrui. - : University of Southern California Digital Library (USC.DL), 2015
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Abstract:
Unrestricted This research is focused on multi-criteria decision-making (MCDM) under uncertainties, especially linguistic uncertainties. This problem is very important because many times linguistic information, in addition to numerical information, is an essential input of decision-making. Linguistic information is usually uncertain, and it is necessary to incorporate and propagate this uncertainty during the decision-making process because uncertainty means risk.; MCDM problems can be classified into two categories: 1) multi-attribute decision-making (MADM), which selects the best alternative(s) from a group of candidates using multiple criteria, and 2) multi-objective decision-making (MODM), which optimizes conflicting objective functions under constraints. Perceptual Computer, an architecture for computing with words, is implemented in this dissertation for both categories. For MADM, we consider the most general case that the weights for and the inputs to the criteria are a mixture of numbers, intervals, ...
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Keyword:
Electrical Engineering; fuzzy logic; information fusion; intelligent systems; linguistic uncertainty; multi-criteria decision-making
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URL: https://digitallibrary.usc.edu/asset-management/2A3BF1SJ627N
https://dx.doi.org/10.25549/usctheses-m2126
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Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making ...
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