Prioritized Information Fusion Method for Uncertain Linguistic Information and its Application to Multiple Attribute Group Decision Making

By : Rajkumar Verma

Page No: 119-143

Abstract
In this paper, we investigate the uncertain linguistic multiple attribute group decision making (MAGDM) problems in which the attributes and decision-makers are in different priority levels. By combining the idea of quasi-arithmetic mean and prioritized weighted average (PWA) operator, we first propose a new aggregation operator called quasi-uncertain linguistic prioritized weighted average (QULPWA) operator for aggregating uncertain linguistic information. The properties of the new aggregation operator are studied in detail and their special cases are examined. Furthermore, based on the QULPWA operator, an approach to deal with multiple attribute decision-making problems under uncertain linguistic environments is developed. Finally, a practical example about the selection of university faculty is provided to illustrate the developed multiple attribute decision-making process.

Author :
Rajkumar Verma : Department of Applied Sciences Delhi Technical Campus (Affiliated to Guru Gobind Singh Indraprastha University) 28/1, Knowledge Park-III, Greater Noida, Uttar Pradesh 201306, India