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Similarity measure, entropy and distance measure of multiple sets [PDF]
Journal of Fuzzy Extension and ApplicationsA multiple set is an extended version of a fuzzy set that simultaneously addresses an element’s multiplicity and uncertainty. In this paper, we define the approximate equality of multiple sets and study some relevant properties associated with it.
Sanjitha Radhakrishnan, Baiju Thankachan
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ENTROPY OF DISCRETE FUZZY MEASURES [PDF]
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000 The concept of entropy of a discrete fuzzy measure has been recently introduced in two different ways. A first definition was proposed by Marichal in the aggregation framework, and a second one by Yager in the framework of uncertain variables. We present a comparative study between these two proposals and point out their properties.
MARICHAL, Jean-Luc, Roubens, Marc
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New Entropy, Similarity Measure of Intuitionistic Fuzzy Sets and their Applications in Group Decision Making [PDF]
International Journal of Computational Intelligence Systems, 2013 In this paper, we propose a new entropy measure with geometrical interpretation of intuitionistic fuzzy sets. Compared with the entropy measure provided by Szmidt and Kacprzyk, the new entropy formula in this paper can measure both fuzziness and ...
Xia Liang, Cuiping Wei, Meimei Xia
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Determination of Parameters for an Entropy-Based Atrial Fibrillation Detector
Entropy, 2021 Entropy algorithm is an important nonlinear method for cardiovascular disease detection due to its power in analyzing short-term time series. In previous a study, we proposed a new entropy-based atrial fibrillation (AF) detector, i.e., EntropyAF, which ...
Lina Zhao +4 more
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Mathematics, 2018 The objective of this manuscript is to present a novel information measure for measuring the degree of fuzziness in intuitionistic fuzzy sets (IFSs).
Harish Garg, Jaspreet Kaur
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Measurement Invariance, Entropy, and Probability [PDF]
Entropy, 2010 We show that the natural scaling of measurement for a particular problem defines the most likely probability distribution of observations taken from that measurement scale. Our approach extends the method of maximum entropy to use measurement scale as a type of information constraint.
Steven A. Frank, D. Eric Smith
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Entropy as a Measure of Puzzle Difficulty
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023 Evaluating and ranking the difficulty and enjoyment of puzzles is important in game design. Typically, such rankings are constructed manually for each specific game, which can be time consuming, subject to designer bias, and requires extensive play testing.
Eugene You Chen Chen +2 more
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Technological and Economic Development of Economy, 2023 Probabilistic dual hesitant fuzzy set (PDHFS) is a more powerful and important tool to describe uncertain information regarded as generalization of hesitant fuzzy set (HFS) and dual HFS (DHFS), not only reflects the hesitant attitude of decision-makers (
Baoquan Ning +3 more
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