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Mathematics, 2019 A divergence measure plays a crucial part in discriminating two probability distributions and drawing inferences constructed on such discrimination.
Shouzhen Zeng +3 more
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IJAIN (International Journal of Advances in Intelligent Informatics), 2020 Threat Assessment is one of the most important components in combat management systems. However, uncertainty is one of the problems that occur in the input data of these systems that have been provided using several sensors in sensor networks.
Ehsan Azimirad +1 more
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Axiomatic of Fuzzy Complex Numbers
Axioms, 2012 Fuzzy numbers are fuzzy subsets of the set of real numbers satisfying some additional conditions. Fuzzy numbers allow us to model very difficult uncertainties in a very easy way.
Angel Garrido
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Measurable prediction for the single patient and the results of large double blind controlled randomized trials. [PDF]
PLoS ONE, 2008 BACKGROUND: It has been shown that the clinical state of one patient can be represented by known measured variables of interest, each of which then form the element of a fuzzy set as point in the unit hypercube. We hypothesized that precise comparison of
Cathy M Helgason, Thomas H Jobe
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Synthetic Emotions for Empathic Building
Mathematics, 2021 Empathic buildings are intelligent ones that aim to measure and execute the best user experience. A smoother and intuitive environment leads to a better mood. The system gathers data from sensors that measure things like air quality, occupancy, noise and
Jose L. Salmeron, Antonio Ruiz-Celma
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Measurement-theoretic frameworks for fuzzy set theory [PDF]
, 1997 Two different but related measurement problems are considered within the fuzzy set theory. The first problem is the membership measurement find the second is property ranking. These two measurement problems are combined and two axiomatizations of fuzzy set theory are obtained.
Taner Bilgiç, I. Burhan Türksen
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Alexandria Engineering Journal, 2023 Under uncertainty, the analytical behaviour of fractional partial differential equations is frequently puzzling and challenging to predict. Therefore, in order to address these problems, it is essential to create a proper, extensive, and highly effective
Muhammad Nadeem +3 more
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Mathematics, 2020 As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
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Research on Evidence Theory Model of Hesitant Fuzzy Information Over Two Universes
Journal of Harbin University of Science and TechnologyAiming at the computational complexity of generalized two-universe hesitant fuzzy rough set in dealing with complex hesitant information multi-attribute decision making, this paper deeply studies the description and construction of two-universe hesitant ...
MAO Yixuan, WANG Qinghai
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Mathematics, 2020 Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events
Tran Manh Tuan +6 more
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