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Comparisons on Reliability of Likert Scale between Crisp and Fuzzy Data

Year: 2014

Type: article

Abstract: The purpose of this study is to compare the reliability of Likert scale between crisp and fuzzy data. The survey data is simulated based on two kinds of questionnaire data. They are questionnaire of crisp data and fuzzy data respectively. According to the viewpoints of fuzzy logic, human thinking is multi-value and fuzzy data will be more appropriate for survey. Therefore, it is proposed that the reliability from fuzzy data will be higher. Results of the simulation show that reliability of fuzzy data performs better than crisp data. Based on the findings of this study, some suggestions and recommendations are discussed for future research.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.635-637.874

Authors: Yuan Horng Lin, Jeng Ming Yih

Institutions: National Taichung University of Education, Min-Hwei College of Health Care Management

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W2015327486

FWCI:

Cites: 6

Cited by: 1

Related to: 10