Journal of Intelligent & Fuzzy Systems - Volume 28, issue 6

Authors: Dost, Şenol

Article Type: Research Article

Abstract: This paper aims to give a new insight for soft fuzzy sets. Firstly, using textural soft fuzzy direlations on a soft fuzzy lattice, we obtain a soft fuzzy rough set algebra where the inverse soft fuzzy relation and inverse soft fuzzy corelation are the upper approximation and lower approximation, respectively. On the other hand, we consider Alexandroff soft fuzzy topology and we prove that there exists a one-to-one correspondence between the Alexandroff topologies and the reflexive and transitive direlations on a texture space.

Keywords: Texture space, direlation, soft fuzzy set, rough set, approximation operator

DOI: 10.3233/IFS-151531

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2519-2535, 2015

Authors: Hebeshi, M. A. | Taha, I. M.

Article Type: Research Article

Abstract: In this paper, we introduced the concepts of fuzzy upper and fuzzy lower α -continuous, almost α -continuous and weakly α -continuous multifunctions. Several characterizations and properties of these multifunctions along with their mutual relationships are established in L -fuzzy topological spaces. Later, composition and union between these multifunctions have been studied.

Keywords: L-fuzzy topology, fuzzy multifunction, graph multifunction, upper and lower α-continuous, almost α-continuous, weakly α-continuous, composition, union, compactness, 1991 Mathematics Subject Classification. 54A40, 54C08, 54C60

DOI: 10.3233/IFS-151533

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2537-2546, 2015

Authors: Majidi-Shahrivar, M. | Pourkheradmand, M. | Najafi, E. | Talaei, A.

Article Type: Research Article

Abstract: Fuzzy Number Ranking (FNR), plays a very important role in decision making and some other fuzzy application systems. Several strategies have been proposed for ranking Fuzzy Numbers (FNs). Each of these techniques has been shown to produce non-intuitive results in certain cases. In this paper, a new algorithm has been introduced for ranking FNs which considers both left and right (LR) sides. Through using several distinct points, this algorithm, provides the result with higher degree of certainty with respect methods which using one point. This algorithm, as shown by several examples, can be easily used for comparing triangular and trapezoidal …FNs. Show more

Keywords: Fuzzy theory, decision making, FNR, trapezoidal FNs, triangular FNs

DOI: 10.3233/IFS-151534

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2547-2555, 2015

Authors: Benhamza, Karima | Seridi, Hamid

Article Type: Research Article

Abstract: Traffic in urban areas is generally regulated by traffic lights, which represent a traffic flow bottleneck if they are not effectively configured. The dynamic nature of traffic flows makes reliable prediction possible only over a limited time horizon, and hence necessitates continual re-computation solutions. As intersections network size increases, the exponential growth in joint signal timing and traffic states exhibit a computational barrier to determining effective traffic lights timing. So, real-time traffic signal control optimization becomes a challenging problem. The present work investigates the issue of adaptive traffic control using real-time traffic data in multiple intersections. Each network intersection is …controlled by an autonomous agent operating with a view of incoming traffic. The generated model presents ability to identifying dynamic changes in traffic flow conditions as well as adjusting green lights sequences and offering a good coordination between each intersections neighboring. The main contribution of this model is a real-time adaptive control of the traffic lights, according to discontinuity and heterogeneity of traffic flow. Simulation results confirm the system effectiveness compared to fixed time control, actuated time control and green wave method. And that by mitigating the congestion in terms of maximum throughput traffic flow, minimum waiting time and stops while maintaining fairness among all the network traffic lights. Show more

Keywords: Traffic lights control, multiple intersections, adaptive, self-organizing, coordination

DOI: 10.3233/IFS-151535

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2557-2567, 2015

Authors: Huang, Xiaoxia | Di, Hao

Article Type: Research Article

Abstract: This paper discusses an uncapacitated facility location problem with customers’ positions subject to experts’ estimations. Uncertain variables are used to describe the estimations of customers’ positions, and an expected distance minimization model is proposed. In addition, a hybrid intelligent algorithm for solving the proposed model problem is provided. To illustrate the application of the new model and show the effectiveness of the solution algorithm, a numerical example is also presented.

Keywords: Facility location, uncertainty modeling, uncertain programming, uncertain facility location

DOI: 10.3233/IFS-141536

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2569-2577, 2015

Authors: Vallejos de Schatz, Cecilia H. | Schneider, Fabio K. | Abatti, Paulo J. | Nievola, Julio C.

Article Type: Research Article

Abstract: Prediction of physiological vital signs allow early detection of abnormal conditions in chronic or elderly patients. In this paper, an artificial intelligent tool is proposed using fuzzy logic and recurrent neural networks for definition and forecast of patient’s clinical condition by using five clinical parameters. For this purpose, a fuzzy model and six artificial neural networks were tested and compared. The fuzzy logic-based proposed first phase of the tool permits the analysis of the current state of the patient, which allows the training of the artificial neural network. In the second phase, two Elman networks MISO, two Elman networks MIMO, …as well as two Nonlinear Autoregressive with eXogenous inputs (NARX) neural networks are evaluated with and without pruning. After analyzing the six proposed networks, it was verified that the pruned NARX model presents the best performance and for this reason was chosen to build the Fuzzy-NARX (FNARX) prediction tool. Finally, the FNARX solution implemented was tested by utilizing unseen data from thirty patients with very high accuracy. More tests made with higher prediction periods demonstrate a slight decrease in the performance. Simulation results demonstrate the effectiveness of the FNARX model proposed, which has a very good performance in predicting patient conditions, and it is a useful tool for preventive medicine. Show more

Keywords: Artificial neural network, fuzzy logic, recurrent neural network, NARX neural network, Elman

DOI: 10.3233/IFS-151537

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2579-2590, 2015

Authors: Ramadan, A.A. | Elkordy, E.H. | Kim, Yong Chan

Article Type: Research Article

Abstract: In this paper, we introduce the notions of L -fuzzy semi-topogenous order, L -fuzzy topogenous (cotopogenuous) space, L -fuzzy topology (cotopology), L -fuzzy quasi-uniform space and the L -fuzzy quasi-proximity space. We study some relationships between previous spaces. The notions of their continuities are investigated.

Keywords: Commutative quantale, L-fuzzy topogenous space, L-fuzzy quasi-proximity space, L-fuzzy quasi-uniform space, L-fuzzy topologies

DOI: 10.3233/IFS-151538

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2591-2604, 2015

Authors: Velasquez, Jose J. | Passino, Kevin M.

Article Type: Research Article

Abstract: This paper investigates the implementation of adaptive and nonadaptive fuzzy controls for a smart lights experimental testbed. The objective is to accurately regulate the light level across the experimental testbed to a desired value, and to test the performance of the fuzzy controllers under cross-illumination effects and bulb and sensor failures. As an initial approach, a decentralized (i.e., no communication between controllers) nonadaptive fuzzy controller is implemented and applied to the smart lights. This approach is convenient for this type of experimental testbed where a mathematical model of the plant is not available and heuristic information about how to control …the system is sufficient. The nonadaptive fuzzy controller, when properly tuned, is able to achieve uniform lighting across the entire testbed floor in most of the tested situations but it fails whenever an on/off light bulb failure is introduced. In order to attain uniform lighting in the presence of failures, a “fuzzy model reference learning controller” (i.e., adaptive fuzzy controller) is implemented for the smart lights, and this algorithm proves to be able to successfully adapt to uncertainties such as disturbances and failures. Show more

Keywords: Adaptive algorithm, adaptive fuzzy control, lighting control, fuzzy control

DOI: 10.3233/IFS-151539

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2605-2620, 2015

Authors: Forouzesh, Fereshteh | Eslami, Esfandiar | Borumand Saeid, Arsham

Article Type: Research Article

Abstract: In this paper, we introduce the notion of ·-primary ideals in PMV -algebras and primary A -ideals in MV -modules. Then we study primary decomposition of an ideal in an MV -algebra and primary decomposition of an A -ideal in an MV -module. Finally, we show that if an ideal in MV -algebras has a primary decomposition, then this decomposition may not be a reduced primary decomposition and if an A -ideal in an MV -module has a primary decomposition, then this decomposition may not be a reduced primary decomposition. We show that if an A -ideal I of …an MV -module M has a reduced primary decomposition and this decomposition is unique. Show more

Keywords: MV-module, (prime, primary) A-ideal, primary decomposition A-ideal

DOI: 10.3233/IFS-151540

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2621-2629, 2015

Authors: Jagadeesha, B | Srinivas, Kedukodi Babushri | Prasad, Kuncham Syam

Article Type: Research Article

Abstract: In this paper, we present an unified approach which defines interval valued L-fuzzy ideals of nearrings by incorporating interval valued t-norms and t-conorms. We characterize interval valued L-fuzzy ideals in terms of their level subsets. We study insertion of factors property and relate interval valued fuzzy points with interval valued fuzzy ideals.

Keywords: nearring, lattice, ideal, t-norm, t-conorm

DOI: 10.3233/IFS-151541

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2631-2641, 2015