Work

Multicriteria decision making with 2-dimension linguistic aggregation techniques

Year: 2012

Type: article

Abstract: In this paper, we represent evaluation information by 2-dimension linguistic labels so as to avoid biased results and achieve high accuracy in multicriteria decision making. We analyze the relationship between a 2-dimension linguistic label and a common linguistic label, and then quantify a certain 2-dimension linguistic label by using a generalized triangular fuzzy number (TFN). On the basis of the mapping function from 2-dimension linguistic labels to the corresponding generalized TFNs and its inverse function, we develop a 2-dimension linguistic weighted averaging (2DLWA) operator and a 2-dimension linguistic ordered weighted averaging (2DLOWA) operator. Furthermore, we verify the feasibility of the 2DLWA and 2DLOWA operators by discussing their properties and investigating their applications to produce reliable decision results in multicriteria decision making under linguistic evaluations. Finally, an example of selecting the outstanding postgraduate dissertation(s) is used to illustrate the practicability and validity of these two 2-dimension linguistic aggregation techniques. © 2012 Wiley Periodicals, Inc.

Source: International Journal of Intelligent Systems

DOI: 10.1002/int.21535

Authors: Xiaohan Yu, Zeshui Xu, Shousheng Liu, Qi Chen

Institution: PLA Army Engineering University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, National Science Fund for Distinguished Young Scholars

Award: G2083790147