Journal of Intelligent & Fuzzy Systems - Volume 29, issue 5

Authors: Zhou, Cai-Li | Shi, Fui-Gui

Article Type: Research Article

Abstract: In this paper, the integral of real valued functions with respect to a generalized fuzzy number measure is introduced and some of its properties are investigated. Finally, the dominated convergence theorem for this kind of integral is obtained.

Keywords: Set valued measure, generalized fuzzy number measure, integral, Banach space

DOI: 10.3233/IFS-151650

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1729-1738, 2015

Authors: Jing, Xin | Zhang, Jing

Article Type: Research Article

Abstract: Many application domains involve dynamic context situations and the problem of how to adapt to them. This requires a Complex Event Processing (CEP) engine specifically designed to have a self-adapting ability to timely adjust its behaviors according to changing circumstances. To meet this need, this paper proposes AC-CEPs, an adaptive control system framework that can monitor context, make business decisions and adjust itself automatically. This framework not only provides a SCEP rule language able to declare event’s semantics, but also integrates complex event detection, semantic annotation and semantic inference to detect dynamic context. And a two-library intelligent decision support system …based on Drools is used to calculate and decide how to adapt to the targets. XML configuration file is also used to describe the event pattern architecture to support flexible and fast event pattern modification. In addition, an event parameter pre-filter net is designed to optimize adapting efficiency. Experiments showed that AC-CEPs’ modules could operate in a coordinated way under different workloads, demonstrating the feasibility of this framework. Show more

Keywords: Complex event processing, dynamic context, adaptive control system, semantic inference, intelligent decision support system

DOI: 10.3233/IFS-151651

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1739-1749, 2015

Authors: Bian, Hanliang | Liu, Songyu | Cai, Guojun | Tian, Ling

Article Type: Research Article

Abstract: Soil electrical resistivity is a basic parameter that can be used to predict soil status. It is always obtained in situ, little literatures discusses about how to predict the resistivity by two or more basic parameters, as the relationships between resistivity and other parameters are complex. Artificial neural networks (ANN) are very useful in learning complex relationships between multidimensional data, so this study developed ANN model to predict electrical resistivity of fine grained soil by using three basic parameters. Soil electrical resistivity (ρ) were obtained by resistivity cone penetration testing (RCPTU) in situ, basic parameters such as water content (ω …), soil porosity ratio (e ), degree of saturation (S r ) of undisturbed soil samples were obtained by different laboratory tests. ANN model was developed with three input data, that is ω , e and (S r ), only one output data, that is ρ. Results obtained from ANN model were compared with the results measured in situ. Performance criteria such as the coefficient of determination (R2 ), root mean square error (RMSE), and variance (VAF) were used to evaluate the performance of the model developed in this study. R2 of training data sets, validation data sets and testing data sets are 0.971, 0.957, 0.978, respectively. Furthermore, data set from literature has been used to testify the ANN model, R2 of the verification data is 0.999. It has been depicted that the ANN model is useful in predicting electrical resistivity by three parameters, and can be employed to determine electrical resistivity of soil quite efficiently. Show more

Keywords: Artificial neural networks, resistivity cone penetration test, electrical resistivity, basic parameters

DOI: 10.3233/IFS-151652

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1751-1759, 2015

Authors: Ortac-Kabaoglu, Rana | Eksin, Ibrahim | Yesil, Engin | Guzelkaya, Mujde

Article Type: Research Article

Abstract: In this study, an active Fault Tolerant Control (FTC) method based on Support Vector Machines (SVM) is presented. The proposed FTC method is not limited to certain faults in the reconfiguration manner and but it also includes a reconfiguration mechanism with direct on-line controller calculation. Here, PID type controller is utilized within the method as a reconfiguration sub-system. The reconfiguration mechanism and the diagnosis unit work independently within the method. Therefore, there is no need for the isolation of faults before tolerating them. In diagnosis and reconfiguration stages of the method, support vector regression machines are used. This FTC technique …uses the real-time data generated by the system and it produces the appropriate gains of the controller in an on-line manner. The PID controller coefficients or the gains to be used in the training stage for faulty and non-faulty cases are all obtained by using the Genetic Algorithm optimization approach in an off-line manner. Moreover, it has also been shown that the proposed method can handle multiple and simultaneous occurrences of various types of faults. The performance of the proposed method is tested on a simulation model of two tank level control system for various fault scenarios. Show more

Keywords: Fault tolerant control, fault diagnosis, support vector machines, PID controllers, two tank liquid level system

DOI: 10.3233/IFS-151653

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1761-1768, 2015

Authors: Jasinevicius, Raimundas | Kazanavicius, Egidijus | Kizauskiene, Laura | Liutkevicius, Agnius | Petrauskas, Vytautas | Vrubliauskas, Arunas

Article Type: Research Article

Abstract: A substantial amount of scientific research and publications in the smart home domain deal with different aspects of fuzzy logic application. However, we feel there is a general lack of complex modelling done of the whole smart home environment. So, the main goal of this paper is threefold: 1) to present a virtual model of a smart home environment to be intellectualized, 2) to demonstrate the efficiency of Mamdani type inference procedure in modelling of intellectual behaviour of the environment and 3) to show that it is possible to minimize the quantity of fuzzy rules by taking the hierarchical approach …and adding the Takagi-Sugeno inference procedure to empower it. The results of computerized modelling and simulation are delivered in the paper demonstrating the practical viability and efficiency of the theoretical approach. The model of the intelligent home environment was used in two projects. Since a formalized analytical method for evaluating the sensitivity of system parameters still does not exist, the experimental sensitivity simulation in our case is performed and presented in this paper. Characteristics obtained in the modelled virtual environment can be easily expanded and used in a real home environment by changing pixels into real coordinates and the light intensity into other real variables. Show more

Keywords: Functional organization, fuzzy rules, intellectualized home environment, hierarchical approach, virtual model

DOI: 10.3233/IFS-151654

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1769-1778, 2015

Authors: Meysam Seyyedbarzegrar, Seyyed | Mirzaie, Mohammad

Article Type: Research Article

Abstract: This paper proposes a new method to estimate power loss characteristics of metal oxide surge arresters. The method was used to compute surge arrester power loss curve based on adaptive network based fuzzy inference system (ANFIS) and artificial neural network (ANN). Surge arrester operating history is an important factor that bears influence on its power loss. Degradation was, in this paper, introduced as a new index to represent operating history of metal oxide surge arrester. Therefore, applied voltage, temperature and degradation factor were considered as inputs in ANFIS system and ANN models to obtain accurate power loss which is a …very important factor in surge arrester thermal stability. Degrading effect was undertaken by measurement voltage and current in varistors degraded by utilization in network. The results of the two artificial models were compared. Results show that ANFIS was more accurate than ANN. This study shows that the power loss characteristics of surge arrester are to a great extent accurately predictable using proposed artificial model. Show more

Keywords: Adaptive network based fuzzy inference system, artificial neural network, degradation factor, metal oxide surge arrester, power loss

DOI: 10.3233/IFS-151655

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1779-1786, 2015

Authors: Bai, Shi-Zhong

Article Type: Research Article

Abstract: This paper is to introduce the concepts of generalized L  - T i separations (i=-1,0,1,2), generalized L -Urysohn spaces and generalized L -homeomorphism in generalized L -topological spaces, developed by the author (S.Z.Bai, Generalized L-topological spaces, Journal of Intelligent and Fuzzy Systems, 2015,28,301-309). Furthermore, we are to give some basic properties, interrelations and some counterexamples of the concepts above.

Keywords: Generalized L-topology, generalized L-closed, remote-neighborhood, generalized L-separations, generalized L-homeomorphism

DOI: 10.3233/IFS-151656

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1787-1793, 2015

Authors: Mohsenzadeh, Ali | Motameni, Homayun

Article Type: Research Article

Abstract: Many of modern systems and applications such as cloud computing, grid computing, pervasive computing, P2P networks and even web applications have employed the concepts of trust. Trust is a level of subjective probability between two entities, a trustor (i.e. source entity) and a trustee (i.e. target entity), which is formed through the direct observation nature and/or recommendation from trusted entities. Trust relationship is the most complex relationship between trustor and trustee because it is extremely subjective, non-symmetric, partial transitive, dynamic, context-dependant, uncertainty, and difficult to be evaluation and establish. Today, there is no special trust evaluation model for cloud computing …environment. Hence, in this paper, we present a trust model based on fuzzy mathematics named TMFM in cloud computing environment according to success and failure interaction between cloud entities so that the fuzzy direct trust relation is calculated based on direct experiences between trustor and trustee also, trustor can builds a fuzzy Indirect trust relation with trustee through his acquaintances. Simulation results show that the TMFM model has some identification and containment capability in synergies cheating, promotes interaction between entities, and improves the performance of the entire cloud environment. Show more

Keywords: Cloud computing, trust models, fuzzy mathematics, trustor, trustee

DOI: 10.3233/IFS-151657

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1795-1803, 2015

Authors: Hassan Khan, Farhan | Qamar, Usman | Bashir, Saba

Article Type: Research Article

Abstract: Sentiment analysis and polarity detection is a type of text classification where natural language opinion is analyzed in order to classify it into either positive or negative categories. Classification of text into sentiment labels is a very difficult task as opinions expressed in natural language may contain abbreviations, slangs, sarcasm, irony and/or idioms. The proposed research focuses on the use of SentiWordNet3.0 as a labeled corpus for training purposes. We present a complete framework based on a dictionary named Normalized SentiMI (nSentiMI) which is created by calculating point-wise mutual information for each term/part-of-speech pair extracted from SentiWordNet. The proposed framework …is applied on a dataset of 50,000 movie reviews to identify the value of a weight factor α and then evaluated on an unseen test dataset of 2000 movie reviews. Comparison with state of art techniques also confirms the superiority of proposed approach. Show more

Keywords: SentiWordNet, mutual information, sentiment analysis, social media, text mining, movie reviews

DOI: 10.3233/IFS-151658

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1805-1816, 2015

Authors: Neelimegham, K.M. Arun | Bosukonda, Murali Mohan

Article Type: Research Article

Abstract: In this paper, mathematical models of Mamdani type simplest fuzzy Proportional Integral (PI)/Proportional Derivative (PD) controllers via Height (Ht) defuzzification are presented. Minimal number of fuzzy sets are chosen for the two inputs and output of the fuzzy controller. L –type and Γ –type membership functions and different Universes of Discourse (UoDs) are considered for the input variables. Membership functions of output variable are chosen in such a way that the sum of all the membership functions at any point is unity. Three linear fuzzy control rules relating all four input fuzzy sets to three …output fuzzy sets are chosen. Two triangular norms namely Algebraic Product (AP) and Minimum (Min), and three triangular co –norms (also sometimes called s –norms) such as Bounded Sum (BS), Algebraic Sum (AS) and Maximum (Max) are used. Properties of the fuzzy controller models are studied. Since digital controllers are implemented on the digital processors, finally the computational and memory requirements of these fuzzy controllers and conventional (nonfuzzy) controllers are compared. A rough estimate of the computational time taken by the digital computer while implementing these discrete –time fuzzy controllers is given. Show more

Keywords: Mathematical modeling, PID control, nonlinear control, fuzzy control, height defuzzification

DOI: 10.3233/IFS-151659

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1817-1826, 2015