Journal
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
Volume 80, Issue 7, Pages 1339-1349Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcss.2014.03.004
Keywords
Distance measure; Induced aggregation operators; 2-tuple linguistic variables; Multiple attribute decision making
Funding
- Statistical Scientific Key Research Project of China [201LZ48]
- Key Research Center of Philosophy and Social Science of Zhejiang Province-Modern Port Service Industry and Creative Culture Research Center, Ministry of Education Humanities and Social Sciences Fund [11YJC790141]
- Zhejiang Provincial Key Research Base for Humanities and Social Science Research (Statistics)
- Projects in Science and Technique of Ningbo Municipal [2012B82003]
- Ningbo Soft Science Fund [2011A1012]
- Ningbo Natural Science Foundation [2011A610106, 2013A610286]
- Zhejiang New Generation Mobile Internet Client Innovation Team [2012R10009-07]
- Projects in Association with Social Sciences Research of Zhejiang [2013B069]
- Soft Science Key Project in Zhejiang [2012C25099]
- MOE Project of Key Research Institute of Humanities and Social Sciences in Universities [13JJD910002]
- Key Research Project of Zhejiang Wanli University
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We develop a new multiple attribute decision making approach for dealing with 2-tuple linguistic information, called the 2-tuple linguistic induced generalized ordered weighted averaging distance (2LIGOWAD) operator. This generalization includes a wide range of 2-tuple linguistic aggregation distance operators such as the 2-tuple linguistic induced ordered weighted averaging distance (2LIOWAD) and the 2-tuple linguistic induced Euclidean ordered weighted averaging distance (2LIEOWAD) operators. We study some of its main properties, and we further generalize the 2LIGOWAD operator by using the Quasi-arithmetic means. Finally we present an application of the developed operator to a group decision making problem about selection of strategies. (C) 2014 Elsevier Inc. All rights reserved.
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