Journal of Intelligent & Fuzzy Systems - Volume 25, issue 2

Authors: Nandi, Arup Kumar | Deb, Kalyanmoy | Datta, Shubhabrata | Orkas, Juhani

Article Type: Research Article

Abstract: Evaluation of equivalent thermal conductivity (ETC) of particle reinforced polymer composites (PRPCs) is a complex process since some of the influencing parameters are associated with uncertainties and ambiguities (e.g., dispersion state of filler in the matrix, uniformity of filler particle size and shape, etc). By realizing it, an attempt has been made to model the ETC of 2-phase PRPCs based on a genetic fuzzy approach. The model performance is rigorously tested in three stages to establish its practical applicability: based on experimental data (not used in model development) cited in literature, new measured thermal conductivities of flexible mould composites and …finally by assessing the feasibility of values of missing data in the reported in-complete data set based on the developed model. Estimations of ETC by the proposed model are shown reasonable, even better compare to existing models and suggesting a generic model applicable to a wide range of 2-phase PRPCs. Show more

Keywords: Genetic fuzzy approach, modeling, particle reinforced polymer composites, effective thermal conductivity

DOI: 10.3233/IFS-2012-0633

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 259-270, 2013

Authors: Soleymani, S. | Bastam, M. | Mozafari, B.

Article Type: Research Article

Abstract: One of the most important components of power systems are power transmission lines. Different types of faults in power transmission lines may cause disruption of power transmission or damage power system equipment, as well as it can effect on the power quality of the entire network. Therefore accurate estimation of fault location in power transmission for restoring power transmission at the shortest possible time with the lowest disruption at power transmission is vital. On the other hand accurate estimation of type and location of faults in transmission lines can save time and maintenance cost of power system equipment. In this …paper, EMTP software is used to simulate a real power grid model with 100 km transmission line for different fault locations and fault resistances. Then Discrete Wavelet Transform (DWT), which is anadvance signal processing tool, is applied to acquire fundamental harmonics of three phase voltage and current signals at the end of transmission line. To classify type of faults and their locations, artificial neural network is utilizedat transmission line. The obtained results show that the error percentage in both location and fault typediagnosis is so low. Show more

Keywords: Artificial neural network, Discrete Wavelet Transform, fast fourier transform, faults of power system

DOI: 10.3233/IFS-2012-0634

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 271-277, 2013

Authors: Wang, Weize | Liu, Xinwang

Article Type: Research Article

Abstract: The notion of interval-valued intuitionistic fuzzy set (IVIFS) is a generalization of that of Atanassov's intuitionistic fuzzy set (AIFS). The fundamental characteristic of IVIFS is that the values of its membership function and non-membership function are intervals rather than exact numbers. In this paper, we define some Einstein operations on IVIFS and develop three arithmetic averaging operators, such as the interval-valued intuitionistic fuzzy Einstein weighted averaging (IVIFWAε ) operator, interval-valued intuitionistic fuzzy Einstein ordered weighted averaging (IVIFOWAε ) operator, and interval-valued intuitionistic fuzzy Einstein hybrid weighted averaging (IVIFHWAε ) operator, for aggregating interval-valued intuitionistic fuzzy information. The IVIFHWAε operator …generalizes both the IVIFWAε and IVIFOWAε operators. Moreover, we establish various properties of these operators and derive the relationship between the proposed operators and the exiting aggregation operators. Finally, we apply the IVIFHWAε operator to multiple attribute decision making with interval-valued intuitionistic fuzzy information. Show more

Keywords: Atanassov's intuitionistic fuzzy set (AIFS), interval-valued intuitionistic fuzzy set (IVIFS), Einstein t-norm, arithmetic averaging operator, multi-attribute decision making (MADM)

DOI: 10.3233/IFS-120635

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 279-290, 2013

Authors: Goudarzi, Pejman

Article Type: Research Article

Abstract: Many difficult engineering problems have found natural solutions which have been inspired from biological behaviors of the living kinds. Some important examples include neural networks, Genetic Algorithm (GA), DNA computing, artificial immune systems etc. Fair resource allocation strategies which are developed by many researchers are based on solving a form of constrained optimization problem. However, they are not necessarily lead to high-speed and stable solutions. There are plenty of high-speed fair rate allocation methods in the literature, some of them are based on fuzzy controllers for improving the convergence speed and are not necessarily optimal. Hence, in the current research, …the GA has been adopted for finding the optimum membership functions which must be used in the fuzzy controller. Stability analysis is presented to guarantee the convergence property of the algorithm. After simulating, the results show that using the hybrid fuzzy-genetic approach improves the conventional methods in convergence speed and results in fewer oscillations in allocated rates. Show more

Keywords: Genetic algorithm, evolutionary computation, optimization, penalty function, elastic

DOI: 10.3233/IFS-2012-0636

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 291-302, 2013

Authors: Zhai, Junhai | Zhai, Mengyao | Bai, Chenyan

Article Type: Research Article

Abstract: Fuzzy rough attribute reduct has been widely used to remove redundant real-valued attributes without discretizing. By now, there are two existing fuzzy rough attribute reduct methods, one is based on dependency function and another based on discernibility matrix. The former proposed by Shen in 2002 can deal with fuzzy decision table (FDT) with real-valued condition attributes and fuzzy decision attributes. However, this algorithm is not convergent on many real datasets, and the computational complexity of the algorithm increases exponentially with the number of input variables. The latter proposed by Tsang in 2008 can only deal with fuzzy decision table with …real-valued condition attributes and symbol-valued decision attributes. In this paper, we extend the latter method and propose two algorithms for calculating all fuzzy rough attribute reducts to deal with fuzzy decision table with real-valued condition and decision attributes. The first algorthim is designed for computing all fuzzy attribute reducts, yet the computation complexity of this algorithm increases exponentially with the number of attributes. The second one which can find one near-optimal reduct is a heuristic variant of the first algorithm. The experimental results show the proposed method is feasible and effective. Show more

Keywords: Rough sets, fuzzy rough sets, attribute reduct, fuzzy discernibility matrix, fuzzy decision table

DOI: 10.3233/IFS-2012-0637

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 303-313, 2013

Authors: Yang, Wu-E | Wang, Jian-Qiang

Article Type: Research Article

Abstract: Vague linguistic numbers are especially adaptive to describe the evaluations of alternatives in multi-criteria decision making. Such description reveals the DM's preference and hesitant degree simultaneously. For handling the uncertainty in setting the weights of criteria, a fuzzy matrix game related with the initial decision matrix is established. This fuzzy game model is then transformed to a linear programming. By solving this programming, the weights of criteria are obtained. The weighted arithmetic average operator of vague linguistic numbers yields the aggregated ranking values of alternatives. An example illustrates the procedure of the proposed method.

Keywords: Decision analysis, MCDM, linguistic modeling, vague linguistic number, gaming

DOI: 10.3233/IFS-2012-0638

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 315-324, 2013

Authors: Barin, Alexandre | Canha, Luciane Neves | Abaide, Alzenira da Rosa | Magnago, Karine Faverzani | Matos, Manuel Antônio | Orling, Ricardo Barreira

Article Type: Research Article

Abstract: The aim of this work is to demonstrate a novel fuzzy-based expert system for selecting renewable energy technologies (RET). Fuzzy multi-rules and fuzzy multi-sets are used to evaluate the main operational characteristics of six types of RET fuelled by biogas from municipal solid waste (MSW) landfills. The construction of the fuzzy multi-rules and fuzzy multi-sets is based on the following method: Mamdani controller using the Max-Min (inference process) and Center of Gravity (defuzzification process). Several criteria are used for the investigation: costs, efficiency, cogeneration, life-cycle and environmental impacts. The fuzzy-based expert system considers three different settings with two different constraints: …costs and environmental impacts. One of the most relevant aspects presented by this work is about the previous criteria rank. It was created according to the different relevance observed among the attributes. The purpose of the proposed arrangement is to facilitate the understanding of the methodology and to increase the possibility of incorporating the decision makers' preferences on the decision-aid process. These aspects are essential to strengthen the final decision. Show more

Keywords: Biogas, fuzzy multi-rules and fuzzy multi-sets, municipal solid waste landfills, renewable energy technologies

DOI: 10.3233/IFS-2012-0639

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 325-333, 2013

Authors: Cano-Izquierdo, Jose-Manuel | Pinzolas, Miguel | Gómez-Sánchez, Eduardo | Araúzo-Bravo, Marcos J. | Ibarrola, Julio

Article Type: Research Article

Abstract: Fuzzy ART and Fuzzy ARTMAP models arise from the synergy between the Fuzzy Set Theory and the Adaptive Resonance paradigm (ART). In this work, the performance of these models and the use of Fuzzy ARTMAP for function approximation are studied. In a first analysis, a relationship between the model parameters and the features of the generated categories is established. In the second part, the connection between these categories and the capacity of prediction of the model is analytically described. Joining these two studies, the link between the parameters and the prediction error of the model is found, in the form …of bounds for the prediction error depending on the model parameters and the characteristics of the data used in the learning. These results provide a quantitative description of the parameter influence on the architecture behavior, opening the use of Fuzzy ARTMAP as a model for the unknown dynamic system identification from input/output data. To illustrate the theoretical developments, several experiments have been carried out using different kinds of functions, which show the accuracy of the proposed bounds. Show more

Keywords: Adaptive resonance theory, fuzzy ARTMAP, function identification, neuro-fuzzy

DOI: 10.3233/IFS-2012-0640

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 335-350, 2013

Authors: Islam, S.M. Taohidul | Chik, Zamri | Mustafa, Mohd. Marzuki | Sanusi, Hilmi

Article Type: Research Article

Abstract: This paper presents a technique to obtain the outcomes of soil dry density and optimum moisture contents with artificial neural network (ANN) for compacted soil monitoring through soil resistivity measurement in geotechnical engineering. The compacted soil monitoring through soil electrical resistivity shows the important role in the construction of highway embankments, earth dams and many other engineering structure. Generally, soil compaction is estimated through the determination of maximum dry density at optimum moisture contents in laboratory test. To estimate the soil compaction in conventional soil monitoring technique is time consuming and costly for the laboratory testing with a lot of …samples of compacted soil. In this work, an ANN model is developed for predicting the relationship between dry density of compacted soil and soil electrical resistivity based on experimental data in soil profile. The regression analysis between the output and target values shows that the R2 values are 0.99 and 0.93 for the training and testing sets respectively for the implementation of ANN in soil profile. The significance of our research is to obtain an intelligent model for getting faster, cost-effective and consistent outcomes in soil compaction monitoring through electrical resistivity for a wide range of applications in geotechnical investigation. Show more

Keywords: Soil compaction, ANN modeling, electrical resistivity, dry density

DOI: 10.3233/IFS-2012-0641

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 351-357, 2013

Authors: Aplak, Hakan Soner | Türkbey, Orhan

Article Type: Research Article

Abstract: Decision process can be summarized as a process that helps for choosing the optimal alternatives according to suggested objectives by evaluating all environmental effects in problem solving. Nowadays, since environmental effects are more complex, imprecise and multilateral, fuzzy set theory and game theory are widely preferred instruments in decision making process. The aim of this study is to present a hybrid multi-criteria decision making approach which uses artificial intelligence techniques such as fuzzy logic and game theory. This process is considered in two person non-constant sum game theory perspective. The methods in literature about related topics (such as scenario planning …and fuzzy TOPSIS) are examined and a hybrid decision making methodology that comprises many decision methods is formed. All phases of this approach are executed in game theory perspective by evaluating mutual strategies of players. In the study, the methodology is explained and a fictitious international disagreement case is used as a numerical example to demonstrate the validity and applicability. Show more

Keywords: Game theory, fuzzy sets, multi criteria analysis

DOI: 10.3233/IFS-2012-0642

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 2, pp. 359-371, 2013