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
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techn...
The concept of Fuzzy-random-variable was introduced as an analogous notion to random- variable in or...
We emphasize problems where fuzzy data appear naturally and need to be used and analyzed properly wi...
summary:The development of effective methods of data processing belongs to important challenges of m...
Abstract. Data obtained in association with many real-life random experi-ments from different fields...
International audienceFuzzy random variables possess several interpretations. Historically, they wer...
The results obtained in part I of the paper are specialized to the case of discrete fuzzy random var...
The results obtained in part I of the paper are specialized to the case of discrete fuzzy random var...
Fuzzy random variables have been introduced as an imprecise concept of numeric values for characteri...
Fuzzy random variables have been introduced as an imprecise concept of numeric values for characteri...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techn...
The concept of Fuzzy-random-variable was introduced as an analogous notion to random- variable in or...
We emphasize problems where fuzzy data appear naturally and need to be used and analyzed properly wi...
summary:The development of effective methods of data processing belongs to important challenges of m...
Abstract. Data obtained in association with many real-life random experi-ments from different fields...
International audienceFuzzy random variables possess several interpretations. Historically, they wer...
The results obtained in part I of the paper are specialized to the case of discrete fuzzy random var...
The results obtained in part I of the paper are specialized to the case of discrete fuzzy random var...
Fuzzy random variables have been introduced as an imprecise concept of numeric values for characteri...
Fuzzy random variables have been introduced as an imprecise concept of numeric values for characteri...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techn...