International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 7, Issue sup1, January 2014

Computational intelligence in decision making

Macarena Espinilla, Javier Montero, J. Tinguaro Rodríguez
Pages: 1 - 5
In this preface we stress the relevance of the traditional collaboration between Engineering and any field of Mathematics in order to build intelligent decision-aid tools, as it is illustrated by the twelve papers contained in this Special Issue. These papers, selected by means of a standard peer review...
Aida Jarraya, Philippe Leray, Afif Masmoudi
Pages: 6 - 17
The Bayesian estimation of the conditional Gaussian parameter needs to define several a priori parameters. The proposed approach is free from this definition of priors. We use the Implicit estimation method for learning from observations without a prior knowledge. We illustrate the interest of such an...
Xin Tong, Dong Wang, Jichun Wu, Yuanfang Chen, Xi Chen
Pages: 18 - 28
This paper uses Gumbel-Hougaard (G-H) copula, Clayton copula and Frank copula to construct joint distributions of hydrological variables of the two typical stations on the Yellow River Region, including the annual maximum flood magnitude (AMFM), the annual maximum flood occurrence date (AMFOD) and the...
Guven Kose, Hayri Sever, Mert Bal, Alp Ustundag
Pages: 29 - 44
A medical diagnosis system (DRCAD), which consists of two sub-modules Bayesian and rule-based inference models, is presented in this study. Three types of tests are conducted to assess the performances of the models producing synthetic data based on the ALARM network. The results indicate that the linear...
Gregorio Tirado, F. Javier Martín-Campo, Begoña Vitoriano, M. Teresa Ortuño
Pages: 45 - 57
Emergency management is a highly relevant area of interest in operations research. Currently the area is undergoing widespread development. Furthermore, recent disasters have highlighted the importance of disaster management, in order to alleviate the suffering of vulnerable people and save lives. In...
Ivana Dragović, Nina Turajlić, Dragan Radojević, Bratislav Petrović
Pages: 84 - 93
The Analytical Hierarchy Process (AHP) idealistically assumes the independence of the criteria which are often interrelated, conflicting or can be traded-off. It is, therefore, proposed that AHP could be extended by applying fuzzy logic to adequately incorporate the different relationships that may exist...
Mats Danielson, Love Ekenberg, Aron Larsson, Mona Riabacke
Pages: 105 - 112
The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less...
Germano Resconi, Chris Hinde
Pages: 137 - 157
Rough set theory gives approximation models of complex knowledge structure. Agents are not present in the definition of the rough sets. Now we will show that a set of conflicting agents or active set can be used to model inconsistent decision in rough set theory. Agent models give us the logic structure...