Pattern recognition methodology for operation task allocation under intuitionistic fuzzy setting

Aiming at operation task allocation problem, which is inherently vague and uncertain, especially for subjective judgment and expertise in informationalized battlefield, the relative membership pattern recognition method is extended in intuitionistic fuzzy (IF) environment. Linguistic variables are used to capture fuzziness and intuitionism in both the capabilities of force group and task requirement by means of intuitionistic fuzzy sets (IFSs). Based on the dissimilarity measure between IFSs, the optimum or compromise classification of each force group (sample) can be determined according to the maximum of the relative membership of the capability of force groups meeting given task patterns under IF environment. Experiment analysis and an application in operation task allocation are examined to demonstrate the implementation process of the proposed method.