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Analyzing data from a fuzzy rating scale-based questionnaire: a case study
Background: The fuzzy rating scale was introduced to cope with the imprecision of human
thought and experience in measuring attitudes in many fields of Psychology. The flexibility …
thought and experience in measuring attitudes in many fields of Psychology. The flexibility …
[HTML][HTML] Fuzzy segmentation of postmodern tourists
In postmodern tourism, the experiences of each tourist could not be summarized only
through a unique perspective but multiple and disjointed perspectives are necessary. The …
through a unique perspective but multiple and disjointed perspectives are necessary. The …
Fuzzy rating scale-based questionnaires and their statistical analysis
SR de Sáa, MÁ Gil… - … on Fuzzy Systems, 2014 - ieeexplore.ieee.org
The fuzzy rating method has been introduced in psychometric studies as a tool, which allows
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …
Fuzzy sets in data analysis: From statistical foundations to machine learning
Basic ideas and formal concepts from fuzzy sets and fuzzy logic have been used
successfully in various branches of science and engineering. This paper elaborates on the …
successfully in various branches of science and engineering. This paper elaborates on the …
Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?
In evaluating aspects like quality perception, satisfaction or attitude which are intrinsically
imprecise, the fuzzy rating scale has been introduced as a psychometric tool that allows …
imprecise, the fuzzy rating scale has been introduced as a psychometric tool that allows …
Data fusion: theory, methods, and applications
M Gagolewski - arxiv preprint arxiv:2208.01644, 2022 - arxiv.org
A proper fusion of complex data is of interest to many researchers in diverse fields, including
computational statistics, computational geometry, bioinformatics, machine learning, pattern …
computational statistics, computational geometry, bioinformatics, machine learning, pattern …
A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China
M Li, P Guo - Agricultural Water Management, 2015 - Elsevier
Crop area optimization is essential for agricultural water management. However, decision
makers are challenged by the complexity of fluctuating stream condition and irrigation quota …
makers are challenged by the complexity of fluctuating stream condition and irrigation quota …
Analyzing the influence of the rating scale for items in a questionnaire on cronbach coefficient alpha
MA Lubiano, M Montenegro… - Trends in Mathematical …, 2022 - Springer
Questionnaires are widely used in many different fields, especially in connection with human
rating. Different rating scales are considered in questionnaires to base the response to their …
rating. Different rating scales are considered in questionnaires to base the response to their …
[HTML][HTML] Statistical depth for fuzzy sets
L González-De La Fuente, A Nieto-Reyes… - Fuzzy Sets and …, 2022 - Elsevier
Statistical depth functions provide a way to order the elements of a space by their centrality
in a probability distribution. That has been very successful for generalizing non-parametric …
in a probability distribution. That has been very successful for generalizing non-parametric …
Bagged fuzzy clustering for fuzzy data: An application to a tourism market
Segmentation has several strategic and tactical implications in marketing products and
services. Despite hard clustering methods having several weaknesses, they remain widely …
services. Despite hard clustering methods having several weaknesses, they remain widely …