Induced aggregation operators for interval basic uncertain information

Abstract

Interval basic uncertain information is a generalization of basic uncertain information. Due to their special structures, the induced aggregation and induced OWA operators have diversified inducing aggregation modes for them. In order to provide both normative paradigms and special ways to perform reasonable induced aggregation with vectors of interval basic uncertain information, this work systematically analyzes some substantial ways of performing induced aggregation by special means of non-induced aggregation. Numerous inducing posets are suggested to use which can help automatically generate weight vectors. Some special weights generation methods based on complex inducing information with numerical examples are also proposed and presented.