Pythagorean fuzzy (R, S)-norm discriminant measure in various decision making processes

被引:6
作者
Guleria, Abhishek [1 ]
Bajaj, Rakesh Kumar [1 ]
机构
[1] Jaypee Univ Informat Technol, Dept Math, Solan 173234, Himachal Prades, India
关键词
Pythagorean fuzzy set; discriminant measure; monotonicity; pattern recognition; medical diagnosis; multiple criteria decision making; SIMILARITY MEASURES; DIVERGENCE MEASURE; DISTANCE MEASURE; SETS; INFORMATION; DISSIMILARITY;
D O I
10.3233/JIFS-179447
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the present communication, a new (R, S)-norm discriminant measure of Pythagorean fuzzy sets has been proposed along with its various properties. Monotonic behavior with respect to the parameters R & S and their proof of validity have also been studied. Methodologies and necessary steps of the algorithms for various decision-making problems viz. pattern recognition problem, medical diagnosis problem and multi criteria decision-making problem have been outlined on the basis of the proposed information measure. For the sake of illustration, numerical example for each case has been provided. A comparative analysis for the considered applications has also been studied in contrast with the popular existing methodologies stating important observations and advantages.
引用
收藏
页码:761 / 777
页数:17
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