Local and global fuzzy implications in an intuitionistic fuzzy setting

2014 ◽  
Vol 8 ◽  
pp. 2519-2529
Author(s):  
Ganeshsree Selvachandran ◽  
Abdul Razak Salleh
Keyword(s):  
Fuzzy Implications ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Setting

scholarly journals NEW GROUP DECISION MAKING METHOD IN INTUITIONISTIC FUZZY SETTING BASED ON TOPSIS

2015 ◽  
Vol 23 (3) ◽  
pp. 441-461 ◽  
Author(s):  
Wei YANG ◽  
Zhiping CHEN ◽  
Fang ZHANG
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Attribute Weights ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Order Preference ◽  
Topsis Technique ◽  
Fuzzy Group Decision Making ◽  
Fuzzy Setting

In multiple attribute group decision making, the weights of decision makers are very crucial to ranking results and have gained more and more attentions. A new approach to determining experts’ weights is proposed based on the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method in intuitionistic fuzzy setting. The weights determined by our method have two advantages: the evaluation value has a large weight if it is close to the positive ideal evaluation value and far from negative ideal evaluation values at the same time, otherwise it is assigned a small weight; experts have different weights for different attributes, which are more appropriate for real decision making problems since each expert has his/her own knowledge and expertise. The multiple attribute intuitionistic fuzzy group decision making algorithm has been proposed which is suitable for different situations about the attribute weight information, including the attribute weights are known exactly, partly known and unknown completely. A supplier selection problem and the evaluation of murals in a metro line are finally used to illustrate the feasibility, efficiency and practical advantages of the developed approaches.

scholarly journals Modifications of Łukasiewicz’s intuitionistic fuzzy implication

2021 ◽  
Vol 27 (3) ◽  
pp. 32-39
Author(s):  
Alžbeta Michalíková ◽  
◽  
Eulalia Szmidt ◽  
Peter Vassilev ◽  
◽  
...  
Keyword(s):  
Basic Properties ◽  
Fuzzy Implications ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Implication

In [6], G. Klir and B. Yuan named after J. Łukasiewicz the implication p \rightarrow q = min(1, p+q). In a series of papers, 198 different intuitionistic fuzzy implications have been introduced, and their basic properties have been studied. Here we introduce six new implications which are modifications of Łukasiewicz’s intuitionistic fuzzy implication, and we describe and prove some of their properties.

scholarly journals Intuitionistic fuzzy implications revisited. Part 1

2019 ◽  
Vol 25 (3) ◽  
pp. 71-78
Author(s):  
Krassimir Atanassov ◽  
◽  
Eulalia Szmidt ◽  
Janusz Kacprzyk ◽  
Nora Angelova ◽  
...  
Keyword(s):  
Fuzzy Implications ◽  
Intuitionistic Fuzzy
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