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GAI-networks: optimization, ranking and collective choice in combinatorial domains

Gonzales C., Perny P., Queiroz S.

Foundations of Computing and Decision Sciences

2008

Vol. 33, No. 1

3-24

This paper deals with preference representation and decision-making problems in the context of multiattribute utility theory. We focus on the generalized additive decomposable utility model (GAI) which allows interactions between attributes while preserving some decomposability. We present procedures to deal with the problem of optimization (choice) and ranking of multiattribute items. We also address multiperson decision problems and compromise search using weighted Tchebycheff distances. These procedures are all based on GAI networks, a graphical , model used to represent GAI utilities. Results of numerical experiments highlight the practical efficiency of our procedures.

Experimental and Predicted Thermodynamic Properties of Mixtures Containing Corn Oil with Ketones and Alkanes Employed in Their Refine

Resa J., Gonzales C., Concha R., Goenaga J.

Polish Journal of Chemistry

2006

Vol. 80, nr 1

129-141

We present new experimental data of density, refractive index, speed of sound and viscosity for the binaries of corn oil + (n-hexane,n-heptane, n-octane, 2-butanone, 3-pentanone and 4-methyl-2-pentanone) at T = 298.15 K and standard conditions, and the corresponding computed derived magnitudes (change of isentropic compressibility, change of refractive index on mixing and excess molar volume). A good agreement among experimental data and the values estimated by theoretical procedures was obtained.

Locally Lipschitz mappings and asymptotic behaviour of solutions of difference equations in Banach spaces

Gonzales C., Jimenez-Melado A.

Demonstratio Mathematica

2001

Vol. 34, nr 3

635-640