A method for probabilistic decision making with distance measures under 2-tuple linguistic environment
Fengjuan Gu 1, Shouzhen Zeng 2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12A) 541-546
1 College of Computer and Information, Zhejiang Wanli University, Ningbo City, Zhejiang Province, China, 315100
2 College of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hanzhou City, Zhejiang Province, China, 310018
In this paper we develop a new approach for 2-tuple linguistic multiple attribute decision making with probabilistic information, named the probabilistic 2-tuple linguistic ordered weighted averaging distance (P2LOWAD) operator. The main advantage of this operator is that it uses the probabilistic information in a unified framework between 2-tuple linguistic distance measures and the OWA operator that considers the degree of importance of each concept in the aggregation. Some of its main properties and different families are also studied. Moreover, a practical method based on the P2LOWAD operator for multi-criteria decision making with 2-tuple linguistic information is presented. Finally, an illustrative example demonstrates the practicality and effectiveness of the proposed method.