Specific Features of Descriptive Statistics with Fuzzy Random Variables
Author(s) -
Oļegs Užga-Rebrovs,
Gaļina Kuļešova
Publication year - 2018
Publication title -
information technology and management science
Language(s) - English
Resource type - Journals
eISSN - 2255-9094
pISSN - 2255-9086
DOI - 10.7250/itms-2018-0017
Subject(s) - descriptive statistics , statistics , mathematics , fuzzy logic , fuzzy set , sample (material) , random variable , data mining , computer science , artificial intelligence , chemistry , chromatography
The aim of the paper is to examine procedures of descriptive statistics in the case when the values of relevant attribute in a sample are set in the form of fuzzy categories. The paper provides alternative definitions of a fuzzy random variable, and describes corresponding procedures for calculating the analogues of location and spread parameters. The paper also presents some illustrative examples and analyses the results obtained. Based on the result analysis, practical recommendations are given on how to use procedures of fuzzy statistics.
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