Title :
A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS
Author :
Beyzanur Çayır Ervural;S. Ceren Öner;Veysel Çoban;Cengiz Kahraman
Author_Institution :
Industrial Engineering Dept., Istanbul Technical Univ., Macka, 34357, Turkey
Abstract :
Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers´ weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.
Keywords :
"Decision making","Pragmatics","Fuzzy sets","Industrial engineering","Programming","Aggregates","Linear programming"
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on
DOI :
10.1109/FUZZ-IEEE.2015.7338119