Design and consensus content validity of the questionnaire for
  b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision
  Support Tool
Rosana Montes Cristina Zuheros Jeovani M. Morales Noe Zermeño Jerónimo Duran Francsico Herrera
Classic Delphi and Fuzzy Delphi methods are used to test content validity of
data collection tools such as questionnaires. Fuzzy Delphi takes the opinion
issued by judges from a linguistic perspective reducing ambiguity in opinions
by using fuzzy numbers. We propose an extension named 2-Tuple Fuzzy Linguistic
Delphi method to deal with scenarios in which judges show different expertise
degrees by using fuzzy multigranular semantics of the linguistic terms and to
obtain intermediate and final results expressed by 2-tuple linguistic values.
The key idea of our proposal is to validate the full questionnaire by means of
the evaluation of its parts, defining the validity of each item as a Decision
Making problem. Taking the opinion of experts, we measure the degree of
consensus, the degree of consistency, and the linguistic score of each item, in
order to detect those items that affect, positively or negatively, the quality
of the instrument. Considering the real need to evaluate a b-learning
educational experience with a consensual questionnaire, we present a Decision
Making model for questionnaire validation that solves it. Additionally, we
contribute to this consensus reaching problem by developing an online tool
under GPL v3 license. The software visualizes the collective valuations for
each iteration and assists to determine which parts of the questionnaire should
be modified to reach a consensual solution.