2013
DOI: 10.5687/iscie.26.375
|View full text |Cite
|
Sign up to set email alerts
|

On Second Statistical Moments for Capricious Vague Perceptions

Abstract: In this paper, the author investigates the statistical moments such as expectations and variances for a class of fuzzy random sets, where the fuzzy random set is considered as a model of the capricious vague perception of a crisp phenomenon or a crisp random phenomenon.First, the class of fuzzy random sets, which has been proposed by author [1][2][3], where the vague perception of a crisp phenomenon fluctuates slightly but randomly by the state of a capricious person's mind, is refined and its expectation and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…The class of fuzzy sets adopted in this paper is inspired by Kwakernaak[6], Kruse and Meyer [7], Kruse, Gebhardt and Klawonn [8], and the revised one previously proposed by the author(see e.g., [9,10,11,12]. )…”
Section: Metric Spaces Of Fuzzy Setsmentioning
confidence: 99%
See 1 more Smart Citation
“…The class of fuzzy sets adopted in this paper is inspired by Kwakernaak[6], Kruse and Meyer [7], Kruse, Gebhardt and Klawonn [8], and the revised one previously proposed by the author(see e.g., [9,10,11,12]. )…”
Section: Metric Spaces Of Fuzzy Setsmentioning
confidence: 99%
“…is a collection of realized fuzzy sets given by (10), and 1 A i j (ω) is a characteristic function defined by (9).…”
Section: Vague Perception Of Random Phenomenamentioning
confidence: 99%
“…In recent years, motivated by the importance for treating the data exhibiting both vagueness and randomness, fuzzy random variables or more generally fuzzy random sets have been intensively investigated by many researchers with various definitions [1,2,3,4,5,6,7,8,9,10].…”
Section: Introductionmentioning
confidence: 99%