scholarly journals A Projection Method for Multiple Attribute Group Decision Making with Intuitionistic Fuzzy Information

Informatica ◽  
2013 ◽  
Vol 24 (3) ◽  
pp. 485-503 ◽  
Author(s):  
Shouzhen Zeng ◽  
Tomas Baležentis ◽  
Ji Chen ◽  
Gangfei Luo
Keyword(s):  
Decision Making ◽  
Projection Method ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Information ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute

scholarly journals Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 322 ◽  
Author(s):  
Yuan Rong ◽  
Yi Liu ◽  
Zheng Pei
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Number ◽  
Group Decision ◽  
Intuitionistic Fuzzy Number ◽  
Fuzzy Information ◽  
Effective Technique ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Global Supplier

As an effective technique to qualitatively depict assessment information, a linguistic intuitionistic fuzzy number (LIFN) is more appropriate to portray vagueness and indeterminacy in actual situations than intuitionistic fuzzy number (IFN). The prominent feature of a Muirhead mean (MM) operator is that it has the powerful ability to capture the correlations between any input-data and MM operator covers other common operators by assigning the different parameter vectors. In the article, we first analyze the limitations of the existing ranking approaches of LIFN and propose a novel ranking approach to surmount these limitations. Secondly, we propound several novel MM operators to fuse linguistic intuitionistic fuzzy (LIF) information, such as the LIF Muirhead mean (LIFMM) operator, the weighted LIF Muirhead mean (WLIFMM) operator and their dual operators, the LIFDMM operator and the WLIFDMM operator. Subsequently, we discuss several desirable properties along with exceptional cases of them. Moreover, two novel multiple attribute group decision-making approaches are developed based upon these operators. Ultimately, the effectuality and practicability of the propounded methods are validated through dealing with a global supplier selection issue, and the comparative analysis and the merits of the presented approaches are demonstrated by comparing them with existing approaches.

AN APPROACH FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING BASED ON INTUITIONISTIC FUZZY INFORMATION

2009 ◽  
Vol 17 (03) ◽  
pp. 317-332 ◽  
Author(s):  
ZHONGLIANG YUE ◽  
YUYING JIA ◽  
GUODONG YE
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Group Decision Making ◽  
Fuzzy Number ◽  
Group Decision ◽  
Intuitionistic Fuzzy Set ◽  
Intuitionistic Fuzzy Number ◽  
Fuzzy Information ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute

Intuitionistic fuzzy set, was introduced by Atanassov, has been applied to many different fields, such as logic programming, pattern recognition, and decision making, etc. However, so far there has been few investigation on how to transform attribute tested values of alternative into a intuitionistic fuzzy number, and then complete decision making by intuitionistic fuzzy information. In this paper, the original attribute value (objective information) are characterized by crisp number which are given by decision maker. We define the concepts of supporting, opposing and neutral set of alternative respectively, develop an approach for transform attribute values into intuitionistic fuzzy number, and determine the order of alternatives based on the score and the degree of accuracy of the intuitionistic fuzzy number. Finally, a practical example is provided to illustrate the developed method.

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