نتایج جستجو برای: fuzzy variable coefficients

تعداد نتایج: 443228  

Turbo-expanders are used in industries for cooling, liquefaction and also power generation. An important part of these turbines is the variable angle nozzle causing a nonlinear behavior that is not well recognized among the prime movers of the dispersed generators. In this paper, at first, the turbo expander system is evaluated in details and its nonlinear behavior is investigated. Then, the sy...

Journal: :Information Fusion 2013
Javier Murillo Serge Guillaume Elizabeth Tapia Pilar Bulacio

An important limitation of fuzzy integrals for information fusion is the exponential growth of coefficients for an increasing number of information sources. To overcome this problem a variety of fuzzy measure identification algorithms has been proposed. HLMS is a simple gradient-based algorithm for fuzzy measure identification which suffers from some convergence problems. In this paper, two pro...

Journal: :International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2009
Xin Gao

There are various types of uncertainty in the real world. This is a motivation to investigate the behavior of uncertain phenomena. Random phenomena is one class of objective uncertain phenomena which has been well studied. Probability theory is an efficient tool to study the behavior of random phenomena. Besides randomness, fuzziness is a basic type of subjective uncertainty initiated by Zadeh....

Journal: :Journal of Mathematical Analysis and Applications 2009

Journal: :Proceedings of the Edinburgh Mathematical Society 2021

Abstract We prove that solutions to the quintic semilinear wave equation with variable coefficients in ${{\mathbb {R}}}^{1+3}$ scatter a solution corresponding linear equation. The are small and decay as $|x|\to \infty$ , but allowed be time dependent. proof uses local energy estimates establish of $L^{6}$ norm $t\to .

Journal: :Nonlinear Analysis: Theory, Methods & Applications 2011

Journal: :Journal of Mathematical Analysis and Applications 1998

Journal: :Mémoires de la Société mathématique de France 2005

Kim and Bishu (Fuzzy Sets and Systems 100 (1998) 343-352) proposeda modification of fuzzy linear regression analysis. Their modificationis based on a criterion of minimizing the difference of the fuzzy membershipvalues between the observed and estimated fuzzy numbers. We show that theirmethod often does not find acceptable fuzzy linear regression coefficients andto overcome this shortcoming, pr...

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