Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information
نویسندگان
چکیده
منابع مشابه
A method for multiple attribute decision making with incomplete weight information under uncertain linguistic environment
The multi-attribute decision making problems are studied, in which the information about the attribute values take the form of uncertain linguistic variables. The concept of deviation degree between uncertain linguistic variables is defined, and ideal point of uncertain linguistic decision making matrix is also defined. A formula of possibility degree for the comparison between uncertain lingui...
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Abstract The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic variables. We develop a new method to solve linguistic MADM with incomplete weight. In order to get the weight vector of the attribute, we establi...
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Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...
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ژورنال
عنوان ژورنال: Neural Computing and Applications
سال: 2015
ISSN: 0941-0643,1433-3058
DOI: 10.1007/s00521-015-1995-8