Intelligent Computational Systems: A Multi-Disciplinary Perspective

Book Series: Current and Future Developments in Artificial Intelligence

Volume 1

by

Faria Nassiri-Mofakham

DOI: 10.2174/97816810850291170101
eISBN: 978-1-68108-502-9, 2017
ISBN: 978-1-68108-503-6
ISSN: 2543-1560 (Print)
ISSN: 2543-1579 (Online)





Intelligent Computational Systems presents current and future developments in artificial Intelligence (AI) in a multi-disciplinary con...[view complete introduction]

P-UTADIS: A Multi Criteria Classification Method

- Pp. 214-267 (54)

Majid Esmaelian, Hadi Shahmoradi and Fateme Nemati

Abstract

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.

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