A Method for Uncertain Linguistic Multiple Attribute Decision Making with Incomplete Weight Information

Abstract

The aim of this paper is to investigate the multiple attribute decision making problems with uncertain linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of uncertain linguistic variables. We establish an optimization model based on the maximizing deviation method, by which… (More)
DOI: 10.1109/FSKD.2007.57

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.