2000
DOI: 10.1016/s0045-7825(99)00401-6
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Fuzzy behavior of mechanical systems with uncertain boundary conditions

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Cited by 43 publications
(17 citation statements)
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“…The fuzzy theory appears the most adopted theoretical framework in the field of the subjective information: in perfect analogy with the stochastic case, if the FE analysis deals with a structure whose parameters are fuzzy variables and/or if the spatial distribution of the uncertain variables is modelled by means of fuzzy functions, then it can be dubbed fuzzy FE analysis [12]. For example, FE-based static analyses in fuzzy environments are proposed in [13][14][15][16][17]. Massa et al [18] discussed a methodology to take into account non-probabilistic information for multi-objective optimization problems, by means of the fuzzy theory.…”
Section: Finite Element Methods Under Non-probabilistic Uncertaintiesmentioning
confidence: 99%
“…The fuzzy theory appears the most adopted theoretical framework in the field of the subjective information: in perfect analogy with the stochastic case, if the FE analysis deals with a structure whose parameters are fuzzy variables and/or if the spatial distribution of the uncertain variables is modelled by means of fuzzy functions, then it can be dubbed fuzzy FE analysis [12]. For example, FE-based static analyses in fuzzy environments are proposed in [13][14][15][16][17]. Massa et al [18] discussed a methodology to take into account non-probabilistic information for multi-objective optimization problems, by means of the fuzzy theory.…”
Section: Finite Element Methods Under Non-probabilistic Uncertaintiesmentioning
confidence: 99%
“…Also an important book is written by [15] in which applications of fuzzy arithmetic into engineering problems are described. Fuzzy behavior of mechanical systems with uncertain boundary conditions is investigated by [16]. Nonlinear membership function for fuzzy optimization of mechanical and structural systems is discussed in [17].…”
Section: Introductionmentioning
confidence: 99%
“…Some researches on fuzziness have been done using fuzzy set as [5][6][7][8], which was put forward by Zadeh [9] in 1965. Rao and Cao [5] developed a fuzzy boundary element method for the analysis of imprecisely defined systems and solved the resulting fuzzy equations using a fuzzified version of Gaussian elimination procedure coupled with truncation.…”
Section: Introductionmentioning
confidence: 99%
“…Rao and Cao [5] developed a fuzzy boundary element method for the analysis of imprecisely defined systems and solved the resulting fuzzy equations using a fuzzified version of Gaussian elimination procedure coupled with truncation. Cherki and Plessis [6] presented the structural sensitivities to uncertain boundary conditions and discussed the effect of uncertain prescribed displacements on the static response of structures. Simo˜es [7] presented the two-phase method for fuzzy optimisation of structures by using the level cuts method and the crisp solution.…”
Section: Introductionmentioning
confidence: 99%