On fuzzy statistical analysis for vague random data associated with human feelings

Author

Fukuda, Tokuo

Author_Institution

Fac. of Manage., Otemon Gakuin Univ., Osaka, Japan

fYear

2000

fDate

2000

Firstpage

126

Lastpage

131

Abstract

The purpose of this paper is to analyze statistically vague data obtained from the observation of human feelings. Considering that the data mentioned above are the realizations of the fuzzy random variables (FRV), the method for estimating their statistical properties is proposed. First, using the set representation approach, the reasonable definition of FRV is proposed, which may be a mathematical model for the data being intrinsically and simultaneously vague and random. Secondly, the statistical moments for the proposed FRV and their estimates are investigated. Finally, the proposed FRV are tried to apply the analysis of the statistical properties of the data obtained from the questionnaire on taste of (mainly middle aged and old) persons for the bicycle designs

Keywords

decision theory; fuzzy set theory; random processes; statistical analysis; FRV; bicycle design taste; fuzzy random variables; fuzzy statistical analysis; human feelings; questionnaire; set representation; statistical moments; statistical properties; vague random data; Aging; Bicycles; Extraterrestrial measurements; Fuzzy logic; Fuzzy sets; Humans; Mathematical model; Random variables; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2000. RO-MAN 2000. Proceedings. 9th IEEE International Workshop on

Conference_Location

Osaka

Print_ISBN

0-7803-6273-X

Type

conf

DOI

10.1109/ROMAN.2000.892482

Filename

892482