The use of free-choice profiling for the evaluation of commercial ports
作者： Anthony A. Williams , Steven P. Langron
关键词: Free-choice profiling 、 Profile analysis 、 Artificial intelligence 、 Natural language processing 、 Projective mapping 、 Procrustes 、 Generalized Procrustes analysis 、 Generalised procrustes analysis 、 Computer science 、 Meaning (existential)
摘要: The paper describes a new approach to profile analysis in which each assessor produces individual profiles of the products, using his or her own terms for describing them without need explain meaning such terms. spatial configurations derived from are rationalised by generalised Procrustes statistics. result is consensus configuration revealing interrelationships between samples panel as whole. An experiment conducted on commercial ports ten assessors, both expert and non-expert, illustrates technique.
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