Uncertain language multi-attribute decision-making method for process scheme evaluation

To achieve process resources reuse and intelligent aided process decision-making,a model of multi-process evaluation and decision-making was proposed,which combined uncertain language evaluation and multi-attribute decision-making method.In this model,multi-process schemes were extracted from enterprise process data warehouse through process clustering and correlation,and evaluation scheme set was formed by these process schemes.Evaluation object attribute set was established as evaluation criterion,and the uncertain language evaluations were listed according to specific requirements and conditions of production.Then Uncertain Expansion Order Weighting Average(UEOWA) operator was introduced to evaluate and sequence the process schemes so as to obtain the best one.The weighting vector of UEOWA operator was fixed according to production requirement and plant condition,so that the flexibility of this algorithm was improved.