Results 31 to 40 of about 10,970 (308)
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Puri, Madan L., Ralescu, Dan A.
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Machinery Fault Diagnosis Based on Feature Level Fuzzy Integral Data Fusion Techniques
Fuzzy methods for machinery fault diagnosis are able to classify fault patterns in a non-dichotomous way thereby imitating the way humans process vague information.
Mathew, Joseph +5 more
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This paper deals with the Choquet integral of fuzzy-number-valued functions based on the nonnegative real line. We firstly give the definitions and the characterizations of the Choquet integrals of interval-valued functions and fuzzy-number-valued ...
Zengtai Gong, Li Chen, Gang Duan
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Radko Mesiar, Andrea Mesiarová
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A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters.
Jafar Tavoosi +7 more
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Generally, pressure oscillation has negative effect on hydraulic crane system which requires high dynamic stability under a flexible operating condition.
Wenrui Hao, Jiangming Kan
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The paper deals with theoretical conception of value analysis of regions, municipal corporations and clusters. The subject of this paper is heterodox approach to sensitivity analysis of finite set of variables based on non-additive measure.
Mojmír Sabolovič
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Fuzzy integral on credibility measure
Third International Conference on Fuzzy Information and Engineering (ICFIE 2009) held Chongqing, September 26-29, 2009Fuzzy measure and credibility measure are two dissimilar concepts. Fuzzy integral on fuzzy measure has been researched.
Hu, BQ +5 more
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On Kurzweil integral of fuzzy number valued functions with two variables
In this study, the fundamental theory of Kurzweil integral for fuzzy-number-valued functions with two variables will be discussed. Firstly, we provide the concept and fundamental properties of this integral.
Luo Lei, Shao Yabin
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Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
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