Multi-attribute cloud decision method based on linguistic assessment and its application in evaluation and selection of merging technology

Abstract

The paper uses cloud model, and proposes a multi-attribute cloud decision method based on linguistic assessment. It includes mainly several parts as follows. First, the described rank cloud and the evaluated rank cloud respectively are presented to measure attribute rank and rank certainty degree. On the basis, cloud normalizing algorithm is presented to fuse several values of an attribute given by experts. Then, cloud aggregation algorithm is presented to integrate different attribute information and get every alternative value, and the most desirable alternative is selected according to their values. Cloud model can express the relationship between randomness and fuzziness, so the method is more effective to measure linguistic assessment information. Finally, an example with linguistic assessment information shows that the method is simple and feasible.