International Journal of Computational Intelligence Systems

Volume 7, Issue sup1, January 2014

Computational intelligence in decision making

1. 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...

2. Implicit parameter estimation for conditional Gaussian Bayesian networks

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...

3. Bivariate analysis of typical hydrological series of the yellow river

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...

4. Comparison of different inference algorithms for medical decision making

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...

5. A lexicographical dynamic flow model for relief operations

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...

6. Workload balancing in identical parallel machine scheduling using a mathematical programming method

Yassine Ouazene, Farouk Yalaoui, Hicham Chehade, Alice Yalaoui
Pages: 58 - 67
This paper addresses the workload balancing problem in identical parallel machines context. The problem consists of assigning different jobs to identical parallel machines in order to minimize the workload imbalance among the different machines. This problem is formulated as a linear mixed integer...

7. Replacement policies for a complex system with unobservable components using dynamic Bayesian networks

Demet O., Taner Bilgiç
Pages: 68 - 83
We study maintenance of a complex dynamic system consisting of ageing and unobservable components under a predetermined threshold reliability level. Our aim is to construct an optimum replacement policy for the components of the system by minimizing total number of replacements or total replacement cost....

8. Combining boolean consistent fuzzy logic and ahp illustrated on the web service selection problem

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...

9. Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

Tuncay Gürbüz, Y.Esra Albayrak, Elif Alaybeyoğlu
Pages: 94 - 104
Production and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is customer- oriented and aims to meet the needs and expectations of customers to increase their...

10. Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process

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...

11. Offline recognition of degraded numeral characters with MMTD-based fuzzy classifiers

Weiqing Cheng, Long Hong, Shaobai Zhang
Pages: 113 - 120
Enabling machines to read like human beings has been a hot issue for more than fifty years. A novel offline degraded numeral recognition method (DNRBM) based on the measure of medium truth degree (MMTD) is proposed in this paper to identify segmented degraded numeral characters in gray images. It consists...

12. Applicability of artificial bee colony algorithm for nurse scheduling problems

Kadir Buyukozkan, Ahmet Sarucan
Pages: 121 - 136
This paper describes the first Artificial Bee Colony (ABC) Algorithm approach applied to nurse scheduling evaluated under different working environments. For this purpose, the model has been applied on a real hospital where data taken from different departments of the hospital were used and the schedules...

13. Agents and rough sets

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...