The core of a double sequence of fuzzy numbers

Author(s):  
Özer Talo
2020 ◽  
Vol 25 (2) ◽  
pp. 14-21
Author(s):  
Leena Abed Muslim ◽  
Ali Hussein Battor

In this paper we insert the notion of -statistically,pre-Cauchy double sequence of fuzzy numbers also, we establish a criterion for arbitrary double sequence of fuzzy numbers to becomes -statistically,pre-Cauchy.


2010 ◽  
Vol 23 (3) ◽  
pp. 282-285
Author(s):  
Dug Hun Hong ◽  
Eunho L. Moon ◽  
Jae Duck Kim
Keyword(s):  

2017 ◽  
Vol 15 (1) ◽  
pp. 157-178 ◽  
Author(s):  
Zerrin Önder ◽  
İbrahim Çanak ◽  
Ümit Totur

Abstract In this paper, we prove that a bounded double sequence of fuzzy numbers which is statistically convergent is also statistically (C, 1, 1) summable to the same number. We construct an example that the converse of this statement is not true in general. We obtain that the statistically (C, 1, 1) summable double sequence of fuzzy numbers is convergent and statistically convergent to the same number under the slowly oscillating and statistically slowly oscillating conditions in certain senses, respectively.


2008 ◽  
Vol 159 (24) ◽  
pp. 3369-3379 ◽  
Author(s):  
Salih Aytar ◽  
Serpil Pehlivan ◽  
Musa A. Mammadov

1970 ◽  
Vol 30 ◽  
pp. 89-99
Author(s):  
Shapla Shirin

In this paper, a new approach for computation of membership functions of the maximum and minimum of more than two upper semi-continuous fuzzy numbers has been introduced. This method is also applicable for piece-wise continuous fuzzy numbers or the fuzzy numbers which are only continuous from right or only continuous from left. The core of fuzzy numbers should have a singleton set. Keywords: Continuous fuzzy number; piece-wise continuous fuzzy number; Maximum (MAX) and Minimum (MIN) of fuzzy number; core; α-cut; bounded increasing and bounded decreasing functions; membership function. GANIT J. Bangladesh Math. Soc. (ISSN 1606-3694) 30 (2010) 89-99  DOI: http://dx.doi.org/10.3329/ganit.v30i0.8506


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Ö. Kişi ◽  
M. B. Huban ◽  
M. Gürdal

In this paper, some existing theories on convergence of fuzzy number sequences are extended to I 2 -statistical convergence of fuzzy number sequence. Also, we broaden the notions of I -statistical limit points and I -statistical cluster points of a sequence of fuzzy numbers to I 2 -statistical limit points and I 2 -statistical cluster points of a double sequence of fuzzy numbers. Also, the researchers focus on important fundamental features of the set of all I 2 -statistical cluster points and the set of all I 2 -statistical limit points of a double sequence of fuzzy numbers and examine the relationship between them.


2021 ◽  
Vol 4 (5) ◽  
pp. 93-97
Author(s):  
Xiaolin Chu

Rural sewage treatment is in need of more capital investment, in which the financing model of PPP (public-private partnership) is able to encourage the investment of social capital in this sector. Risk sharing is one of the core features in the PPP model. In view that the risk loss of projects cannot be accurately estimated, this article describes the uncertainty of risk loss with fuzzy numbers and allocates the distribution of risk loss among the participants of rural sewage treatment PPP projects with interval fuzzy Shapley value to ensure a more reasonable and effective risk distribution.


2014 ◽  
Vol 22 (4) ◽  
pp. 321-327 ◽  
Author(s):  
Adam Grabowski

Summary In this article, we continue the development of the theory of fuzzy sets [23], started with [14] with the future aim to provide the formalization of fuzzy numbers [8] in terms reflecting the current state of the Mizar Mathematical Library. Note that in order to have more usable approach in [14], we revised that article as well; some of the ideas were described in [12]. As we can actually understand fuzzy sets just as their membership functions (via the equality of membership function and their set-theoretic counterpart), all the calculations are much simpler. To test our newly proposed approach, we give the notions of (normal) triangular and trapezoidal fuzzy sets as the examples of concrete fuzzy objects. Also -cuts, the core of a fuzzy set, and normalized fuzzy sets were defined. Main technical obstacle was to prove continuity of the glued maps, and in fact we did this not through its topological counterpart, but extensively reusing properties of the real line (with loss of generality of the approach, though), because we aim at formalizing fuzzy numbers in our future submissions, as well as merging with rough set approach as introduced in [13] and [11]. Our base for formalization was [9] and [10].


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