DISTANCE AND SIMILARITY MEASURES FOR INTUITIONISTIC MULTIPLICATIVE PREFERENCE RELATION AND ITS APPLICATIONS

被引:69
作者
Garg, Harish [1 ]
机构
[1] Thapar Univ, Sch Math, Patiala 147004, Punjab, India
关键词
distance measure; intuitionistic multiplicative set; similarity measure; pattern recognition; medical diagnosis; decision-making; FUZZY DECISION-MAKING; VAGUE SETS; AGGREGATION; INFORMATION; OPERATORS;
D O I
10.1615/Int.J.UncertaintyQuantification.2017018981
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The objective of this work is to present some series of distance measures under the intuitionistic multiplicative preference relation (IMPR), instead of intuitionistic fuzzy preference relation (IFPR), for measuring the relationship between the two different intuitionistic multiplicative sets (IMSs). As IFPR deals under the conditions that the attribute values grades are symmetrical and uniformly distributed, in this manuscript, this assumption has been relaxed by distributing the attribute grades to be asymmetrical around 1 and hence based on it, a family of distance measures between the two or more IMSs has been proposed. Some of its desirable properties have also been investigated in detail. Based on these measures, a group decision-making method has been presented for ranking the alternatives. The method is illustrated by two numerical examples in pattern recognition and medical diagnosis.
引用
收藏
页码:117 / 133
页数:17
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