Open AccessA study on human intelligence using Fuzzy Grey Relational Maps (FGRMs)
Author(s) -
S. Arokiamary,
M. Mary Mejrullo Merlin
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1012/1/012067
Subject(s) - disjoint sets , fuzzy logic , artificial intelligence , grey relational analysis , relation (database) , computer science , fuzzy cognitive map , fuzzy set , human intelligence , data mining , mathematics , fuzzy classification , statistics , discrete mathematics
Fuzzy-grey system is an ambiguous system where unclear, incomplete and only small data is available. Fuzzy Grey relational maps model the causal relation between complex systems. In this fuzzy model, the nodes are fuzzy while the edges are grey and they represent the grey causal relationship between two disjoint sets of concepts. Intelligence is one of the most admired and coveted features of human mind for, human intelligence has played a greater role in placing human beings at the top of the evolutionary pyramid of creation. Intelligence is widely accepted as hereditary, but at the same time there are researches going on to prove that it is also influenced by the beliefs the individual holds. In this paper, the causal influence between intelligence and self-beliefs is studied using Fuzzy Grey relational maps.