A proposal for perception measurement on a linguistic scale coded with unconventional fuzzy numbers
A proposal for perception measurement on a linguistic scale coded with unconventional fuzzy numbers
Author(s): Marta Dziechciarz-DudaSubject(s): Economy, Socio-Economic Research
Published by: Główny Urząd Statystyczny
Keywords: measurement; measurement scale; measurement scale adequacy; Item Response Theory; the Rasch model
Summary/Abstract: The aim of this paper is to formulate a new proposal for perception measurement on a linguistic scale coded with fuzzy numbers. Additionally, an attempt is made to show the assessment process of the adequacy of a linguistic scale. The basis for the proposal is the discussion of issues related to the ambiguity of the results of measurements made by means of a subjective type of measurement scales. The proposed assessment technique is relevant when the results of the measurement based on a linguistic scale are coded with numerical equivalents in the form of e.g. unconventional fuzzy numbers. The issue the subjective perception of the products’ quality illustrates the objectivity level of measurement results. Subjective perception is measured with a specially designed IT tool allowing the respondent to determine all the characteristics of the resulting fuzzy numbers. The scale adequacy assessment tool is based on the Item Response Theory, and particulary so on the model devised by Georg Rasch. The measurement of socio-economic phenomena, including material and subjective well-being of households, the quality of households’ durable goods, and the assessment of the quality of goods available on the market requires special tools. It seems that one of the most useful and powerful tools for the measurement of socio-economic phenomena is a linguistic scale. The problematic issue in the analysis presented in the paper is coding verbal terms with their numerical equivalents.
Journal: Przegląd Statystyczny. Statistical Review
- Issue Year: 67/2020
- Issue No: 1
- Page Range: 51-76
- Page Count: 26
- Language: English