Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	2004
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / B / Building / Building construction & materials / Building Construction and Design / Buildings—Design and construction / Civil Engineering / Computational Intelligence / Construction / Engineering, Architectural / Heating, lighting, ventilation / Mathematics and Statistics / Mechanics / Mechanics of solids / Mechanics, Applied / Probabilities / Probability & statistics / Probability Theory / Probability Theory and Stochastic Processes / Statistics / Stochastics / Theoretical and Applied Mechanics
ISBN:	9783540402947
EAN-Code:	9783540402947
Verlag:	Springer Nature EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	694 gr
Seiten:	336
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

sections dealing with fuzzy functions and fuzzy random functions are certain to be of special interest. The reader is expected to be in command of the knowledge gained in a basic university mathematics course, with the inclusion of stochastic elements. A specification of uncertainty in any particular case is often difficult. For this reason Chaps. 3 and 4 are devoted solely to this problem. The derivation of fuzzy variables for representing informal and lexical uncertainty reflects the subjective assessment of objective conditions in the form of a membership function. Techniques for modeling fuzzy random variables are presented for data that simultaneously exhibit stochastic and nonstochastic properties. The application of fuzzy randomness is demonstrated in three fields of civil engineering and computational mechanics: structural analysis, safety assessment, and design. The methods of fuzzy structural analysis and fuzzy probabilistic structural analysis developed in Chap. 5 are applicable without restriction to arbitrary geometrically and physically nonlinear problems. The most important forms of the latter are the Fuzzy Finite Element Method (FFEM) and the Fuzzy Stochastic Finite Element Method (FSFEM).