Title :
Matrix cognition in medical artificial intelligence
Author :
Frenster, John H.
Author_Institution :
Physicians Educ. Series, Atherton, CA, USA
Abstract :
Matrix cognition, a microcomputer technique for pairwise comparison of decision elements in open interactive decision-making systems, is examined. Using the Saaty 9-point scale, a user response matrix is generated and utilized to provide weighted evaluations of each decision element for each potential decision. Each response matrix is solved mathematically for its maximum real positive eigenvalue and the corresponding eigenvector. After normalization, this vector is unique for each matrix and can be used to provide weighted evaluations of each decision element and characterizations of each decision-making run
Keywords :
artificial intelligence; matrix algebra; medical computing; Saaty 9-point scale; decision-making run; eigenvalue; eigenvector; matrix cognition; medical artificial intelligence; microcomputer technique; open interactive decision-making systems; pairwise comparison of decision elements; user response matrix; weighted evaluations; Artificial intelligence; Cognition; Decision making; Diseases; Eigenvalues and eigenfunctions; Game theory; Humans; Medical diagnostic imaging; Medical treatment; Microcomputers;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96482