A fuzziness measure for fuzzy numbers: Applications
Fuzzy Sets and SystemsPublished 1 March 1998
Miguel Delgado, M.A. Vila, William Voxman
Citations79
SJR quartileQ1
SJR score0.75
SNIP1.25
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TL;DR
Any fuzzy number can be represented by either a trapezoidal or a “quasitrapezoidal” number having the same basic attributes as the original fuzzy number.
Abstract
Extending the ideas of Delgado et al. (1995) to include the notion of fuzziness, we obtain canonical representations of fuzzy numbers. In particular, we show that any fuzzy number can be represented by either a trapezoidal or a “quasitrapezoidal” number having the same basic attributes as the original fuzzy number.
Keywords
Computer ScienceMathematicsDecision Sciences
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The fuzzy sets uncertainty and information is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can get it instantly.
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This paper proposes two parameters, value and ambiguity, for fuzzy number representation and uses them to obtain canonical representations and to deal with fuzzy numbers in decision-making problems.