International Journal of Computational Intelligence Systems

Volume 9, Issue 2, April 2016

1. Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays

Mehmet Karakose, Mehmet Baygin, Kagan Murat, Nursena Baygin, Erhan Akin
Pages: 202 - 212
Photovoltaic (PV) systems are the most commonly used methods. PV systems have the most potential and efficiency between the species of renewable energy. However, this method can be subjected to a loss of energy gain when shading occurs on the PV panels. To overcome this negative situation, a reconfiguration...

2. Selecting Multiple Evaluator's Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators

I. Feki, X. Feng, A. Ghith, L. Koehl, F. Msahli, F. Sakli
Pages: 213 - 226
The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most...

3. Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Hasan Hüseyin Turan, Nihat Kasap, Dursun Delen, Mehmet Nahit Serarslan
Pages: 227 - 244
In this paper, bandwidth acquisition and allocation problem of a telecommunications Bandwidth Broker (BB) is analyzed under uncertain end-user capacity requests and pay-per-byte (volume) based pricing policy. Furthermore, related objective function coefficients such as revenue and costs are modeled as...

4. Fusion of Heterogeneous Incomplete Hesitant Preference Relations in Group Decision Making

Zhen Zhang, Chonghui Guo
Pages: 245 - 262
In this paper, we focus on the fusion of heterogeneous incomplete hesitant preference relations (including hesitant fuzzy preference relations and hesitant multiplicative preference relations) under group decision making settings. First, some simple formulae are developed to derive a priority weight...

5. An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming

Alain Guerrero-enamorado, Carlos Morell, Amin Y. Noaman, Sebastián Ventura
Pages: 263 - 280
In recent years, evolutionary algorithms have been used for classification tasks. However, only a limited number of comparisons exist between classification genetic rule-based systems and gene expression programming rule-based systems. In this paper, a new algorithm for classification using gene expression...

6. Control of a Chain Pendulum: A fuzzy logic approach

Ernesto Aranda-escolástico, María Guinaldo, Matilde Santos, Sebastián Dormido
Pages: 281 - 295
In this paper we present a real application of computational intelligence. Fuzzy control of a non-linear rotary chain pendulum is proposed and implemented on real prototypes. The final aim is to obtain a larger region of attraction for the stabilization of this complex system, that is, a more robust...

7. Human Centric Recognition of 3D Ear Models

Guy De Tré, Robin De Mol, Dirk Vandermeulen, Peter Claes, Jeroen Hermans, Joachim Nielandt
Pages: 296 - 310
Comparing ear photographs is considered to be an important aspect of disaster victim identification and other forensic and security applications. An interesting approach concerns the construction of 3D ear models by fitting the parameters of a ‘standard’ ear shape, in order to transform it...

8. Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Abdul Malek Yaakob, Alexander Gegov
Pages: 311 - 324
The ability in providing result that is consistent with actual ranking remains the major concern in group decision making environment. The main aim of this paper is to introduce a novel modification of TOPSIS method to facilitate multi criteria decision making problems based on the concept of Z-numbers...

9. A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets

José Carlos R. Alcantud, Rocío De Andrés Calle
Pages: 325 - 339
We provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the final...

10. A New Default Intensity Model with Fuzziness and Hesitation

Liang Wu, Ya-ming Zhuang, Wen Li
Pages: 340 - 350
With the increased financial market volatility, corporate defaults will suffer from the double impact of the external shocks and internal contagion effects. In the existing stochastic default intensity models, the valuation of sensitivity parameters requires a lot of historical data, however, the limited...

11. Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning

Mohammad Farukh Hashmi, Avinash G. Keskar, Vikas Yadav
Pages: 351 - 375
With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image. Cloning or copy-move technique is widely used as forgery to...

12. Electricity Peak Load Forecasting using CGP based Neuro Evolutionary Techniques

Gul Muhammad Khan, Rabia Arshad
Pages: 376 - 395
Proficient Economic and Financial planning is critical to the successful and efficient operation of power generating and distributing units. This planning becomes quite facile if the accurate and precise knowledge regarding the required power load is ascertained. This research is an innovative effort...