How to select web services intelligently on the basis of a Brain inspired method for solving fuzzy multi-criteria decision making problems

As one of the major issues of the Brain informatics research field, decision making-centric investigations of the human information processing system (HIPS) represents a very important research subject, which focuses on proposing new methods to deal with intriguing Web Intelligence problems such as the Web service selection. In this work, we present an application of the Brain inspired method for solving fuzzy multi-criteria decision making problems (BIFMCDM) in the Web services selection process in case of fuzzy evaluations of the criteria' weights and of the alternatives' scores as well. As a case study; the ranking problem of three Web Services with respect to five criteria and four decision makers will be tackled. As results of this study, the BIFMCDM method has shown very interesting capabilities in processing fuzziness of the input data set in comparison with the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS).