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Necessary and Sufficient Conditions of Unacceptable Solutions in LP Discriminant Analysis *
Author(s) -
Xiao Baichun
Publication year - 1993
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1993.tb01299.x
Subject(s) - linear discriminant analysis , discriminant , linear programming , characterization (materials science) , optimal discriminant analysis , mathematics , mathematical optimization , computer science , statistics , artificial intelligence , materials science , nanotechnology
Characterization of unacceptable solutions for linear programming (LP) discriminant models have been discussed in the literature and the results presented so far are not satisfactory. This paper establishes necessary and sufficient conditions of unacceptable solutions for a number of LP models, addresses the practical implications of these conditions, and discusses the relationship between unacceptable solutions and multiple solutions.