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The Theory of Fuzzy Logic and its application to Real Estate Valuation [PDF]
, 1998 Fuzzy logic is based on the central idea that in fuzzy sets each element in the set can assume a value from 0 to 1, not just 0 or 1, as in classic set theory. Thus, qualitative characteristics and numerically scaled measures can exhibit gradations in the
Jamal, Janattul-Ain +7 more
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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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On the Minkowski-H\"{o}lder type inequalities for generalized Sugeno integrals with an application [PDF]
, 2015 In this paper, we use a new method to obtain the necessary and sufficient condition guaranteeing the validity of the Minkowski-H\"{o}lder type inequality for the generalized upper Sugeno integral in the case of functions belonging to a wider class than ...
Boczek, Michał, Kaluszka, Marek
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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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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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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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Sharp and fuzzy observables on effect algebras
, 2007 Observables on effect algebras and their fuzzy versions obtained by means of confidence measures (Markov kernels) are studied. It is shown that, on effect algebras with the (E)-property, given an observable and a confidence measure, there exists a fuzzy ...
A. Dvurečenskij +31 more
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International Journal of Computational Intelligence Systems, 2016 In this paper, we propose new methods to represent interdependence among alternative attributes and experts’ opinions by constructing Choquet integral using interval-valued intuitionistic fuzzy numbers.
Jindong Qin, Xinwang Liu, Witold Pedrycz
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