SHS Web of Conferences
Volume 25, 2016ICITCE 2015 – 3rd International Conference on Information Technology and Career Education
|Number of page(s)||7|
|Section||Economy and technology|
|Published online||22 April 2016|
A hybrid method for decision making with dependence & feedback under incomplete information
School of Economics and Management, Chongqing Normal University, Chongqing, China
* Corresponding author: firstname.lastname@example.org
This paper presents a hybrid method to tackle multiple criteria decision making problems with incomplete weight information in the context of fuzzy soft sets. In order to determine the weights of criteria, we develop a comprehensive two-stage framework. Stage One: We first define the distance between two fuzzy soft numbers. Next, we establish an optimization model based on ideal point of attribute values, by which the attrib-ute weights can be determined. Stage Two: To get the global weights, we use fuzzy cognitive maps to depict the dependent and feedback effect among criteria. Next, we require constructing fuzzy soft set to decide the desirable alternative. Finally, a case study is given to clarify the proposed approach of this paper.
Key words: MCDM / Fuzzy soft set / FCM
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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