International Journal of Computational Intelligence Systems

Volume 9, Issue 4, August 2016

1. Identification of Pulmonary Disorders by Using Different Spectral Analysis Methods

F. Z. Göğüş, B. Karlık, G. Harman
Pages: 595 - 611
This study presents detection of pulmonary disorders using different spectral analysis methods such as fast Fourier transform, autoregressive and the autoregressive moving average. Power spectral densities of the sounds were estimated through these methods. Feature vectors were constructed by extracting...

2. An Interpretable Logical Theory: The case of Compensatory Fuzzy Logic

Rafael A. Espin-Andrade, Erick Gonzalez, Witold Pedrycz, Eduardo Fernandez
Pages: 612 - 626
This paper aims to formally define a concept of interpretability according to natural language of a logical theory, and show advances for demonstrating that the logic system called Compensatory Fuzzy Logic is interpretable. A logical theory is interpretable according to natural language if the calculus...

3. Optimization of small satellite constellation design for continuous mutual regional coverage with multi-objective genetic algorithm

I. Meziane-Tani, G. Métris, G. Lion, A. Deschamps, F. T. Bendimerad, M. Bekhti
Pages: 627 - 637
This paper describes the application of an evolutionary optimization method to design satellite constellation for continuous regional coverage without intersatellite links. This configuration, called mutual coverage, is related to some technical limitations that exist on small satellite technology. The...

4. A Generic Preprocessing Optimization Methodology when Predicting Time-Series Data

Ioannis Kyriakidis, Kostas Karatzas, Andrew Ware, George Papadourakis
Pages: 638 - 651
A general Methodology referred to as Daphne is introduced which is used to find optimum combinations of methods to preprocess and forecast for time-series datasets. The Daphne Optimization Methodology (DOM) is based on the idea of quantifying the effect of each method on the forecasting performance,...

5. Modified Black Hole Algorithm with Genetic Operators

Saber Yaghoobi, Hamed Mojallali
Pages: 652 - 665
In this paper, a modified version of nature-inspired optimization algorithm called Black Hole has been proposed. The proposed algorithm is population based and consists of genetic algorithm operators in order to improve optimization results. The proposed method enhances Black Hole algorithm performance...

6. Efficient Fuzzy Logic Based Probabilistic Broadcasting for Mobile Ad hoc Network

Sumit Kumar, Shabana Mehfuz
Pages: 666 - 675
In Mobile Ad hoc networks broadcasting is the one of the most important and crucial phenomenon. Broadcasting can be taken up in many ways and the simplest method of broadcasting is simple flooding which can significantly increase the overheads and can result in redundant messages which can further cause...

7. An FMCDM approach to purchasing decision-making based on cloud model and prospect theory in e-commerce

Hong-yu Zhang, Rui Zhou, Jian-qiang Wang, Xiao-hong Chen
Pages: 676 - 688
This paper presents a fuzzy multi-criteria decision-making (FMCDM) approach based on cloud model and prospect theory. In addition, a reference point selection method is developed according to the evaluations of the potential customer or similar consumers regarding certain items. An example of purchasing...

8. An Application of Value Analysis for Lean Healthcare Management in an Emergency Department

Burak Efe, Ömer Faruk Efe
Pages: 689 - 697
This paper investigated the value concept of lean management to improve the performance of an emergency department (ED). This paper aims to analyze on patient perceived value (PPV) to apply lean management principles in the ED. The DEMATEL (Decision Making Trial and Evaluation Laboratory) method has...

9. Fuzzy Multi-Objective Lattice Order Decision Approach for Preference Ranking in Conflict Analysis

Qiang Guo, Wenyi Wang
Pages: 698 - 708
Based on conflict analysis and lattice order theory, this paper integrates fuzziness and non-transitivity of the preference, exclusiveness and incommensurability of the objective into conflict analysis, proposes a new fuzzy multi-objective lattice order decision method for preference ranking in conflict...

10. Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS

Gülçin Büyüközkan, Sezin Güleryüz
Pages: 709 - 725
The objective of this study is to provide an effective multi criteria decision making (MCDM) approach with group decision making to evaluate different smart phone alternatives according to consumer preferences. The choice of the most appropriate phone is a very complex decision, involving several perspectives....

11. A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems

Frederico Coelho, Antonio P. Braga, Michel Verleysen
Pages: 726 - 733
Currently Mutual Information has been widely used in pattern recognition and feature selection problems. It may be used as a measure of redundancy between features as well as a measure of dependency evaluating the relevance of each feature. Since marginal densities of real datasets are not usually known...

12. An approach for solving maximal covering location problems with fuzzy constraints

Virgilio C. Guzmán, David A. Pelta, José L. Verdegay
Pages: 734 - 744
Several real-world situations can be modeled as maximal covering location problem (MCLP), which is focused on finding the best locations for a certain number of facilities that maximizes the coverage of demand nodes located within a given exact coverage distance (or travel time). In a real scenario,...

13. Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking

Juan Carlos Leyva López, Jesús Jaime Solano Noriega, Jorge Luis García Alcaraz, Diego Alonso Gastélum Chavira
Pages: 745 - 764
We present a multi-objective evolutionary algorithm to exploit a medium-sized fuzzy outranking relation to derive a partial order of classes of alternatives (we call it RP-NSGA-II). To measure the performance of RP-NSGA-II, we present an empirical study over a set of simulated multi-criteria ranking...

14. Cell formation and task scheduling considering multi-functional resource and part movement using hybrid simulated annealing

Chunfeng Liu, Jufeng Wang
Pages: 765 - 777
This paper designs a non-linear integer mathematical model for the cellular manufacturing system (CMS) with dual-resource constrained setting. The multi-functional machines and the multi-skilled workers need to be grouped and assigned to the cells. Moreover, each operation of the parts has different...

15. A hybrid gene expression programming algorithm based on orthogonal design

Jie Yang, Jun Ma
Pages: 778 - 787
The last decade has witnessed a great interest on the application of evolutionary algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO) and gene expression programming (GEP), for optimization problems. This paper presents a hybrid algorithm by combining the GEP algorithm and the...

16. Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes

Joaquin Bautista, Rocío Alfaro-Pozo, Cristina Batalla-García
Pages: 788 - 799
We aim at maximizing the comfort of operators in mixed-model assembly lines. To achieve this goal, we evaluate two assembly line balancing models: the first that minimizes the maximum ergonomic risk and the second one that minimizes the average absolute deviations of ergonomic risk. Through a case study...