An evaluation procedure based on expert judgment with a fuzzy approach. (Original)

Abstract

The evaluation based on expert knowledge is useful for the hierarchy of alternatives, the evaluation of results, the redefinition of strategies, among different aspects related to decision-making and strategic management. The processing of expert information confronts a problem, related to the subjective and imprecise nature of the data, which contrasts with the need for objective and precise analysis. In this paper, a seven-stage procedure is presented, aimed at expert evaluation in the field of educational research. The procedure is based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). This technique is combined with the use of triangular fuzzy numbers, in order to reduce the subjectivity that encompasses the expert evaluation criteria. As an example, the processing is implemented in the evaluation of four profiles of scientific research projects. The latter are evaluated by 20 experts, taking into account nine indicators related to the ecological economy, as a basic aspect of sustainable development in prospective terms. The application of the procedure is useful to demonstrate its potential, in the framework of the application of the method of expert judgment in educational research.