Core Concepts
The author proposes a 2-Tuple Fuzzy Linguistic Delphi method to validate questionnaires, emphasizing the importance of consensus among experts through linguistic perspectives.
Abstract
A study introduces a novel method, the 2-Tuple Fuzzy Linguistic Delphi, to assess questionnaire validity for b-learning. The approach involves linguistic judgments by experts and iterative consensus-building processes. The research aims to enhance questionnaire validation in educational settings using innovative linguistic models.
Classic and Fuzzy Delphi methods are compared for content validity testing. The proposed 2-Tuple Fuzzy Linguistic Delphi extends these methods to address varying expertise levels among judges. An online tool is developed under GPL v3 license to visualize collective valuations and facilitate consensus-reaching in questionnaire modification.
Key aspects include the application of Computing with Words methodology, linguistic hierarchies, and multi-granular semantics in Decision Making problems. The study emphasizes the importance of expert opinions represented as 2-tuple linguistic values for comprehensive questionnaire validation.
Stats
A 2-Tuple Fuzzy Linguistic Delphi method is proposed for questionnaire validation.
Judges' opinions are represented using fuzzy numbers and linguistic terms.
An online tool is developed under GPL v3 license.
Extended Linguistic Hierarchies are used for flexible representation.
Expert weights per dimension are considered in the evaluation process.