2010
DOI: 10.1007/s10483-010-0103-6
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Stability of a cubic functional equation in intuitionistic random normed spaces

Abstract: In this paper, the stability of a cubic functional equation in the setting of intuitionistic random normed spaces is proved. We first introduce the notation of intuitionistic random normed spaces. Then, by virtue of this notation, we study the stability of a cubic functional equation in the setting of these spaces under arbitrary triangle norms. Furthermore, we present the interdisciplinary relation among the theory of random spaces, the theory of intuitionistic spaces, and the theory of functional equations.

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Cited by 22 publications
(12 citation statements)
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“…We brief the proof because it is similar as the random case [47,27]. Putting y = 0 in (4.1), we have…”
Section: Stability Results In L -Fuzzy Normed Spacesmentioning
confidence: 96%
See 1 more Smart Citation
“…We brief the proof because it is similar as the random case [47,27]. Putting y = 0 in (4.1), we have…”
Section: Stability Results In L -Fuzzy Normed Spacesmentioning
confidence: 96%
“…Later a number of mathematicians worked on the stability of some types of cubic equations [4,[17][18][19]. Furthermore, Mirmostafaee and Moslehian [20], Mirmostafaee et al [21], Alsina [22], Miheţ and Radu [23] and others [24][25][26][27][28] investigated the stability in the settings of fuzzy, probabilistic, and random normed spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the notation of intuitionistic random normed space introduced by Chang et al [19]. In this section, we shall adopt the usual terminology, notations, and conventions of the theory of intuitionistic random normed spaces as in [22], [31], [33], [34], [40], [41], [42].…”
Section: Intuitionistic Random Normed Spacesmentioning
confidence: 99%
“…Recently, Alsina [18], Chang, et al [19], Mirmostafaee et al [20], [21], Miheţ and Radu [22], Miheţ et al [23], [24], [25], [26], Baktash et al [27], Eshaghi et al [28], Saadati et al [29], [30] investigated the stability in the settings of fuzzy, probabilistic, and random normed spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Now, we give one example to illustrate the main results of Theorem 3.6. This example is a modification of the example of Zhang et al 34 .…”
mentioning
confidence: 92%