Results 11 to 20 of about 13,837 (168)
A measure of consistency for fuzzy logic theories
Mathematical Methods in the Applied Sciences, 2021 Fuzzy logic has shown to be a suitable framework to handle contradictions in which, unsurprisingly, the notion of inconsistency can be defined in different ways. This paper starts with a short survey of different ways to define the notion of inconsistency in fuzzy logic systems.
Nicolás Madrid, Manuel Ojeda‐Aciego
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On Intuitionistic Fuzzy Entropy of Order-α
Advances in Fuzzy Systems, 2014 Using the idea of Rènyi’s entropy, intuitionistic fuzzy entropy of order-α is proposed in the setting of intuitionistic fuzzy sets theory. This measure is a generalized version of fuzzy entropy of order-α proposed by Bhandari and Pal and intuitionistic ...
Rajkumar Verma, BhuDev Sharma
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New Similarity Measures of Pythagorean Fuzzy Sets and Their Applications
IEEE Access, 2019 Similarity measure, as a tool to measure the similarity degree between two objects, is an important research content in fuzzy set theory. Pythagorean fuzzy set, as a new extension of fuzzy set theory, has been widely used in various fields.
Qiang Zhang +4 more
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Distance Measures Based on Metric Information Matrix for Atanassov’s Intuitionistic Fuzzy Sets
Axioms, 2023 The metric matrix theory is an important research object of metric measure geometry and it can be used to characterize the geometric structure of a set. For intuitionistic fuzzy sets (IFS), we defined metric information matrices (MIM) of IFS by using the
Wenjuan Ren, Zhanpeng Yang, Xipeng Li
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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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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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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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