P-UTADIS: A Multi Criteria Classification Method
Pp. 214-267 (54)
Majid Esmaelian, Hadi Shahmoradi and Fateme Nemati
In this chapter, a new multi criteria classification technique is presented.
This method is a developed/advanced UTilites Additives DIScriminantes (UTADIS)
method which applies a polynomial function as its utility function for each attribute
rather than a piecewise linear approximation. The method, named P-UTADIS, is
applied for both nominal and ordinal group and by calculating coefficients of
polynomials, threshold limits of classes and weights of attributes, tends to minimize the
classification errors. Unknown parameters of a classification problem are estimated
through a hybrid algorithm including Particle Swarm Optimization algorithm (PSO)
and Genetic Algorithm (GA). The results of implementing P-UTADIS on different data
sets and comparing them with some other previous methods indicate the high
efficiency of P-UTADIS.
Classification, Genetic algorithm, PSO algorithm, UTADIS method,
Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.