Journal of Intelligent & Fuzzy Systems - Volume 28, issue 3

Authors: Huo, Zheng-Gang | Zhou, Zhen-Guo

Article Type: Research Article

Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problem with hesitant fuzzy uncertain linguistic information. Then, motivated by the ideal of traditional arithmetic and geometric operation, we have developed some aggregation operators for aggregating hesitant fuzzy uncertain linguistic information: hesitant fuzzy uncertain linguistic correlated aggregation (HFULCA) operator and hesitant fuzzy uncertain linguistic correlated geometric (HFULCG) operators. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the hesitant fuzzy uncertain linguistic multiple attribute decision making problems. Finally, a practical example for evaluating the risk of the …building construction project is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Multiple attribute decision making (MADM), hesitant fuzzy uncertain linguistic values, hesitant fuzzy uncertain linguistic correlated aggregation (HFULCA) operator, hesitant fuzzy uncertain linguistic correlated geometric (HFULCG) operators, building construction project, risk evaluation

DOI: 10.3233/IFS-141244

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 991-998, 2015

Authors: Taherpoor, Hoda | Niknam, Taher | Kavousi-Fard, Abdollah

Article Type: Research Article

Abstract: This paper investigates the optimal operation management of Micro-Grids (MGs) considering different types of distributed generations such as Fuel Cell (FC), Photovoltaic's (PV), Micro Turbine (MT), Wind Turbine (WT) as well as the storage devices. A stochastic optimization method based on scenarios production is proposed to consider the non-deterministic characteristics of WT/PVs electrical power production, the utility price and the unpredictable load consumption. The utilization of renewable energy sources and storage devices can affect the total operation strategies of the MGs with increasing the complexity and nonlinearity aspects of the problem. Consequently, an efficient optimization technique based on Harmony Search …(HS) algorithm is suggested. In order to see the feasibility and satisfying performance of the proposed stochastic method, a typical grid-connected MG is studied as test system. The simulation results show the proper ability of the proposed stochastic framework to capture the uncertainty of the problem. Also, the high search ability of the proposed HS in both local and global explorations is evident. Show more

Keywords: MG operation management, scenario-based method, renewable sources, uncertainty

DOI: 10.3233/IFS-141383

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 999-1008, 2015

Authors: Aktas, Ahmet | Cebi, Selcuk | Temiz, Izzettin

Article Type: Research Article

Abstract: Evaluation of service quality of public hospitals has been largely ignored by health care providers although it is vital for human life. For this, some regulations are being done by Turkish Ministry of Health to improve service quality. One of them is to construct quality teams for hospitals. The other is classification of hospitals into five groups based on their service quality and government provides promotion to hospitals based on this classifications. However, the current classification procedure is not based on an analytical method. Therefore, in the scope of this paper, service quality index has been developed in order to …present a scientific basis for classification of hospitals by using multiple criteria decision making tools with respect to existing parameters in the literature. In the scope of this study, service quality parameters are determined and importance degrees of them are obtained by using analytic hierarchy process in terms of service providers and patients. Then, a formulation has been provided to obtain service quality index (SQI) for hospitals. A case study for public hospitals is presented to test applicability of the proposed method. Show more

Keywords: AHP, decision making, information axiom, service quality

DOI: 10.3233/IFS-141385

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1009-1021, 2015

Authors: Wang, Bing

Article Type: Research Article

Abstract: Artificial bee colony (ABC) algorithm, which is inspired by the foraging behavior of honey bee swarm, is a biological-inspired optimization algorithm. It shows more effective than genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE). However, ABC algorithm can sometimes be slow to converge, and it is good at exploration but poor at exploitation regarding its solution search equation. To address these concerning issues, we propose a novel search strategy at the employed bees stage by introducing generalized opposition-based learning method as a search mechanism and an improved solution search equation by taking advantages of the local best …solution at the onlookers stage. Both operations can balance the exploration and the exploitation for the proposed algorithm. Then, in order to enhance the global convergence, we modify dynamically frequency of perturbation at each iteration. In addition, we use a more robust calculation to determine and compare the quality of alternative solutions. Experiments are conducted on a set of 21 benchmark functions. The experimental results show that the proposed algorithm can outperform ABC-based algorithms and other significant evolutionary optimizers in solving complex numerical optimization problems. Show more

Keywords: Artificial bee colony algorithm, generalized opposition-based learning, search mechanism, solution search equation

DOI: 10.3233/IFS-141386

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1023-1037, 2015

Authors: Mendi, Engin

Article Type: Research Article

Abstract: Image quality assessment has a great importance in several image processing applications. Recently, various objective image quality metrics have been proposed in order to predict human visual perception. In this paper, novel image quality metrics, S-SSIM (saliency-based structural similarity index) and S-VIF (saliency-based visual information fidelity), are proposed based on a visual attention model extracting frequency-tuned salient region. Saliency maps are produced from the color and luminance features of the image. SSIM and VIF in pixel domain are modified by the weighting factors of the saliency maps. We validated our approach using 2 image databases as test bed: These databases …contain subjective scores for each image. Our results showed that our technique is more correlated with human subjective perception. Show more

Keywords: Image quality assessment, visual attention, saliency maps, structural similarity, visual information fidelity

DOI: 10.3233/IFS-141387

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1039-1046, 2015

Authors: Yu, Xiaobing | Cai, Mei | Cao, Jie

Article Type: Research Article

Abstract: Differential evolution (DE) is a simple and powerful population-based evolutionary algorithm. The success of DE in solving a specific problem crucially depends on appropriately choosing generation strategies and control parameter values. A novel mutation DE (MDE) is proposed to improve generation strategy DE/best/2. Adaptive mutation is conducted to current population when the population clusters around local optima. Control parameters are adapted based on constants. The performance of MDE is extensively evaluated on eighteen benchmark functions and compares favorably with the several DE variants.

Keywords: Evolutionary algorithm, global optimization, differential evolution, DE/best/2, particle swarm optimization

DOI: 10.3233/IFS-141388

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1047-1060, 2015

Authors: Vinod Kumar, R.S. | Arivazhagan, S.

Article Type: Research Article

Abstract: An adaptive patch based texture synthesis using contourlet transform is discussed in this paper. The synthesis starts with patches of as bigger size as possible. Whenever the error criterion is not satisfied, the patch size is reduced by one fourth and the synthesis is continued. In the proposed work, the patch satisfying the error criterion using contourlet transform is selected as the candidate patch. Generalized mathematical expressions have been developed to select the patches of the required sizes. The experimentation is carried out with different contourlet filters and based on the quality of the synthesized outputs; a specific level of …decomposition is identified. The quality of the obtained outputs is satisfactory. Show more

Keywords: Image processing, texture synthesis, euclidean norm, minimum cost path, contourlet transform

DOI: 10.3233/IFS-141389

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1061-1070, 2015

Authors: Biglarbegian, Mohammad | Mendel, Jerry M.

Article Type: Research Article

Abstract: Wu-Mendel Uncertainty Bounds (WM UB) is a viable inference engine for interval type-2 fuzzy logic systems (IT2 FLS). This engine; however, has a complex structure and hence performing analysis using this mechanism is difficult. Moreover, when WM UB is used for control, one cannot guarantee stability. As such, a new IT2 FLS, called an m–n IT2 FLS, that is a simplified version of the WM UB IT2 FLS, has been recently introduced in the literature. The m–n IT2 FLS has enabled rigorous analyses of IT2 fuzzy controllers, has recently been used in several applications and has shown great promise to …be used as a viable IT2 FLS that is not limited just to control. In this paper, we mathematically analyze the structure of the m–n IT2 FLS and through bounds approach find the conditions upon which the m–n IT2 FLS gets close to the WM UB. These conditions will also provide guidelines for the design parameters of the m–n IT2 FLS that will ultimately help designers to choose these parameters for their applications. The results presented in this paper should lead to wider applications of the novel and simplified m–n IT2 FLS. Show more

Keywords: Interval type-2 fuzzy control, interval type-2 fuzzy logic systems, m–n interval type-2 fuzzy logic system, simplified interval type-2 fuzzy logic system, Wu-Mendel uncertainty bounds

DOI: 10.3233/IFS-141390

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1071-1079, 2015

Authors: Baziareh, Aliasghar | Kavousi-Fard, Fazaneh | Zare, Alireza | Abasizade, Alireza | Saleh, Sadreddin

Article Type: Research Article

Abstract: Optimal reactive power planning in the distribution systems is a very significant issue which can reduces the amount of power losses and increase the power quality of the electrical services, effectively. Nevertheless, by the rapid growth of the renewable power sources especially wind turbines (WTs) this problem has been affected greatly. The stochastic nature of WT and its output variable power has become a challenging issue for optimal reactive power planning of the distribution systems such as capacitor placement problem. In this way, this paper suggests a new stochastic framework based on point estimate method (PEM) to solve the capacitor …placement problem considering several WTs in the system. The PEM makes use of the first few statistical data of the random variables to find the expected value of the output, here the system total costs. The uncertainties of the forecast error in the WT output power as well as the active and reactive loads are modeled in the proposed framework. Meanwhile, a powerful optimization algorithm called Krill Herd (KH) algorithm is used to solve this problem suitably. The performance of the proposed method is examined on the IEEE distribution test system. Show more

Keywords: Reactive power planning, krill herd algorithm, wind turbine, stochastic framework

DOI: 10.3233/IFS-141391

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1081-1087, 2015

Authors: Kim, Yong Chan

Article Type: Research Article

Abstract: In this paper, we investigate the properties of join-meet and meet-join preserving maps in complete residuated lattices. We define join-meet (resp. meet-join) approximation operators as a generalization of fuzzy rough sets in complete residuated lattices. Moreover, we investigate the relations between join-meet (resp. meet-join) approximation operators and fuzzy preorders. We give their examples.

Keywords: Join-meet and meet-join preserving maps, join-meet and meet-join approximation operators, fuzzy preorders, complete residuated lattices

DOI: 10.3233/IFS-141392

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1089-1097, 2015