Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 60, Issue 9, Pages 2609-2615Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2010.08.087
Keywords
The TFLHOWA operator; The trapezoid fuzzy linguistic variables; Multiple-attribute decision making (MADM); The possibility degree matrix
Categories
Funding
- Ministry of Education of China [09YJA630088]
- Natural Science Foundation of Shandong Province [ZR2009HL022]
- Social Science Planning Project Fund of Shandong Province [09BSHJ03]
- Soft science project Fund of Shandong Province [2009RKA376]
- Dr. Foundation of Shandong Economic University
Ask authors/readers for more resources
The purpose of this paper is to propose a new method for solving multiple-attribute decision making (MADM) problems with trapezoid fuzzy linguistic variables. To begin with, this paper reviews the concepts of the trapezoid fuzzy linguistic variables and the possibility degree matrix. Then, some operators and their characteristics are introduced, for aggregating the trapezoid fuzzy linguistic variables, such as the trapezoid fuzzy linguistic averaging (TFLA) operator, the trapezoid fuzzy linguistic weighted averaging (TFLWA) operator, and the trapezoid fuzzy linguistic ordered weighted averaging (TFLOWA) operator. On the basis of the disadvantages of these operators, the trapezoid fuzzy linguistic hybrid ordered weighted averaging (TFLHOWA) operator is proposed. Furthermore, a new method for solving MADM problems with the trapezoid fuzzy linguistic variables is proposed, based on the TFLHOWA operator. Finally, an illustrative example is given, to verify the feasibility and effectiveness of the method developed. (C) 2010 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
