On definition and construction of association measures | Zendy

Ildar Batyrshin | Zendy

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On definition and construction of association measures

Author(s) -

Ildar Batyrshin

Publication year - 2015

Publication title -

journal of intelligent and fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.331

H-Index - 57

eISSN - 1875-8967

pISSN - 1064-1246

DOI - 10.3233/ifs-151930

Subject(s) - association (psychology) , measure (data warehouse) , mathematics , pearson product moment correlation coefficient , set (abstract data type) , function (biology) , similarity (geometry) , correlation coefficient , statistics , computer science , data mining , artificial intelligence , psychology , image (mathematics) , evolutionary biology , biology , psychotherapist , programming language

The definition and the general methods of construction of non-statistical association measures on different domains are discussed. An association measure is a function of two variables defined on a set X with involutive operation and satisfying the properties similar to the properties of the Pearson’s correlation coefficient. Such measure can be used for analysis of the possible positive and negative relationships between variables. The methods of construction of association measures using similarity measures and pseudo-difference operations associated to t-conorms are discussed. The examples of association measures on different domains are considered.

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