Journal of Intelligent & Fuzzy Systems - Volume 35, issue 3

Authors: Li, Bingyang | Xiao, Jianmei | Wang, Xihuai

Article Type: Research Article

Abstract: In many real decision-making problems, since the assessment information is usually inaccurate and incomplete, decision makers may be hard to get enough information and precisely quantify their opinions. To solve this problem, we aim to introduce interval-valued dual hesitant fuzzy rough set over two universes model. By integrating interval-valued dual hesitant fuzzy set and rough set models, this paper provides a systematic framework for the study of interval-valued dual hesitant fuzzy rough set over two universes, which can better handle imprecise and uncertain information. Firstly, in constructive approach, we define the lower and upper approximation operators under an interval-valued dual …hesitant fuzzy relation, and some relevant properties are discussed. Then, we establish a general decision-making approach based on the proposed model. Finally, two practical examples are provided to elaborate the created method and illustrate its effectiveness. Show more

Keywords: Interval-valued dual hesitant fuzzy rough set, interval-valued dual hesitant fuzzy set, dual hesitant fuzzy relation, interval-valued fuzzy rough approximation operators, rough set over two universes

DOI: 10.3233/JIFS-171626

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3195-3211, 2018

Authors: Kakati, Pankaj | Borkotokey, Surajit | Mesiar, Radko | Rahman, Saifur

Article Type: Research Article

Abstract: We define the Interval Neutrosophic Hesitant Fuzzy Choquet Integral (INHFCI) operator as a useful tool for multicriteria decision making (MCDM). The INHFCI operator generalizes both the interval neutrosophic hesitant fuzzy ordered weighted averaging operator and the interval neutrosophic hesitant fuzzy weighted averaging operator. A modified version of the score function to make comparison among Interval Neutrosophic Hesitant Fuzzy elements is proposed. We develop an approach for multicriteria decision making based on the interval neutrosophic hesitant fuzzy choquet integral operator that applies to our proposed score function. Finally the model is illustrated with the help of an example.

Keywords: Interval neutrosophic hesitant fuzzy set (INHFS), Interval neutrosophic hesitant fuzzy choquet integral (INHFCI), Multicriteria decision making (MCDM)

DOI: 10.3233/JIFS-17166

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3213-3231, 2018

Authors: Yang, Bowen | Liu, Ji | Liang, Xiaosheng

Article Type: Research Article

Abstract: Image segmentation, which becomes more and more prevalent in computer vision, plays a requisite part in the fields of object detection, tracking and even virtual or augmented reality. Early segmentation methods that relied on hand-crafted features have fast been superseded by deep learning algorithms. Nonetheless, deep learning algorithms are hardly applied in real object segmentation because of a lack of ground truth labels. This work introduces the use of 3D models to generate segmentation training dataset. This system projects 3D models to the 2D plane and merges 2D images with different backgrounds to obtain training images. In this process, …the ground truth labels would be allowed to obtain automatically without manual annotation, since the position of objects is known in the picture. Experimental results indicate that synthetic images can be used to train on existed networks such as FCNs and DeepLab and trained models achieve relatively accurate segmentation results on real images. Moreover, the modified model based on DeepLab-CRF-LargeFOV achieves more precise segmentation results by strengthening its localization and edge performance. Show more

Keywords: Object segmentation, 3D models, synthetic images, fully convolutional networks

DOI: 10.3233/JIFS-171675

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3233-3242, 2018

Authors: Chen, Hung-Yi | Liang, Jin-Wei

Article Type: Research Article

Abstract: This paper compares tracking performances of the inverse hysteresis model-based feedforward compensator and the feedback-feedforward combined controller for the time-varying hysteresis nonlinearity of a piezoelectric-stack-actuator-driven (PSA-driven) system. Three different inverse hysteresis models, including Bouc-Wen, polynomial, and Prandtl-Ishlinskii (PI), are adopted to design feedforward compensator for the PSA-driven compliant system. Particle swarm optimization (PSO) scheme is employed to estimate model parameters of the Bouc-Wen and PI hysteresis models, respectively, whereas the least-mean-square-error based criterion is utilized in identifying the polynomial-based hysteresis model. Although solely feedforward compensation approach seems workable for systems with rate-independent hysteresis or slow tracking trajectories, large modeling errors …are inevitable when fast trajectory or rate-dependent hysteresis is facing. To improve tracking performances, conventional PID control is augmented to the feedforward controllers. The resultant scheme is denoted as the feedback-feedforward combined control. To compare control performances of the solely feedforward and feedback-feedforward combined scheme, a number of experiments focusing on sinusoidal trajectories with different frequency have been implemented on the PSA-driven stage system. The results indicate that significant performance improvement can be achieved provided PID control is augmented to the solely feedforward approach. When different hysteresis models are of concerned, PI hysteresis model performs better in either feedforward or combined cases. Show more

Keywords: Piezoelectric-stack-actuator-driven system, Particle swarm optimization, time-varying hysteresis nonlinearity

DOI: 10.3233/JIFS-171699

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3243-3253, 2018

Authors: Ko, Jung Mi | Kim, Yong Chan

Article Type: Research Article

Abstract: In this paper, we introduce the notion of Alexandrov L -(neighborhood) filters and Alexandrov L -convergence structures as a topological viewpoint of fuzzy rough sets. We investigate the categorical relations among Alexandrov L -neighborhood filters, L -fuzzy preorders and Alexandrov L -convergence structures. Moreover, we investigate their topological properties and give examples.

Keywords: Complete residuated lattices, fuzzy join(meet)-complete lattices, L-fuzzy preordered sets, Alexandrov L-(neighborhood) filters, Alexandrov L-convergence structures

DOI: 10.3233/JIFS-171723

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3255-3266, 2018

Authors: Omidvar, Mohamad Nabi | Nejatian, Samad | Parvin, Hamid | Rezaie, Vahideh

Article Type: Research Article

Abstract: Optimization is a process that is followed to improve an objective function. The aim of the optimization is to improve the solution of a problem developed by a scientist or an engineer. In any optimization algorithm, the initial conditions have a big effect on quality of the final found solution. One of the new optimization algorithms is See-See Partridge Chicks Optimization (SSPCO) algorithm, which is modeled upon the behavior of the partridge chicks. Chaotic behaviors are frequent in the natural phenomena. Indeed, many real world behaviors which resemble random, are chaotic. As these behaviors are highly sensitive to the initial …conditions, they show such really random-like behaviors that can’t be predicted (while they are not random at all). In this paper, we have implemented a chaotic SSPCO (CSSPSO) algorithm. We have used two different chaotic functions and we have lastly compared the results with the state of the art algorithms. The results indicate that chaos has a positive effect and the CSSPCO algorithm outperforms the state of the art algorithms. Show more

Keywords: SSPCO algorithm, chaotic SSPCO algorithm, optimization, chaos theory

DOI: 10.3233/JIFS-171727

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3267-3283, 2018

Authors: Amirrezai, M. | Rezaie, H. | Gharehpetian, G.B. | Rastegar, H.

Article Type: Research Article

Abstract: In this study, a novel strategy for current control of distribution static compensator (D-STATCOM) based on fuzzy inference system (FIS) is proposed. The D-STATCOM is utilized for compensating a non-linear load drawbacks in power system by injecting compensating currents. The D-STATCOM is connected between the non-linear load and sinusoidal power source. The control system of the D-STATCOM is designed based on the instantaneous power theory. In addition, two other current control strategies consisting of hysteresis current control (HCC) and adaptive hysteresis current control (AHCC), are investigated and implemented. The results of the HCC and the AHCC are compared with the …proposed strategy. Comparison between the obtained results showed that the proposed current control strategy is drastically superior to other strategies due to its less harmonic distortion, lower and constant switching frequency, lower transient current peak and more successful reactive power compensation. The effectiveness of the proposed strategy is verified by extensive simulations in MATLAB/Simulink environment. Show more

Keywords: Fuzzy inference system, switching frequency, hysteresis, harmonic distortion, distribution static compensator

DOI: 10.3233/JIFS-171834

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3285-3294, 2018

Authors: Erdoğan, Melike | Kaya, İhsan

Article Type: Research Article

Abstract: The growing attention of the recycling of WEEE led to the making of critical studies on how to manage this process such as to determine one of the most appropriate outsourcing firms. In the recent years, the determination of the most suitable firm to be managed for the recycling of WEEE for private and public institutions is a critical decision that has high level importance in terms of environmental, economic, social and even technological. For this aim, we try to determine the best alternative outsourcing firm for management of WEEE process for Municipality of Eyüp which is a district located …in European side of Istanbul by using suggested MCDM methodology based on HFS. In this paper, a multi criteria decision making (MCDM) methodology based on hesitant fuzzy enveloped TOPSIS that gives experts extra flexibility in using linguistic terms to give their assessments has been proposed to determine the best outsourcing firm for Waste of Electrical and Electronic Equipment (WEEE). We have developed a mechanism based on hesitant fuzzy sets (HFS) for enabling decision makers to be easier in evaluation process of WEEE management. Show more

Keywords: Hesitant fuzzy sets (HFSs), outsourcing, waste of electrical and electronic equipment (WEEE)

DOI: 10.3233/JIFS-171879

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3295-3306, 2018

Authors: Torabi, Navid | Tavakkoli-Moghaddam, Reza | Najafi, Esmaiel | Hosseinzadeh Lotfi, Farhad

Article Type: Research Article

Abstract: This paper proposes a new multi-objective interior search algorithm (MOISA) for solving multi-objective optimization problems. Multi-objective complex mathematical models need to be solved by meta-heuristic algorithms in such a way that Pareto-optimal solutions are obtained; therefore, a new algorithm is presented in this paper for solving such models. The process of the interior search algorithm (ISA) is based on principles of interior design and decoration. This algorithm divides all elements, except the most suitable one, into two groups. In the first group, which is called the artistic composition group, algorithm changes the composition of elements to achieve a more desirable …view. In the second group, which is called the mirror group, the algorithm places a mirror between the group elements and the most suitable element to find a better view. This paper uses the principles of the ISA in conjunction with the concepts of the non-dominated sorting and crowding distance to present the proposed MOISA, which is capable of obtaining near-optimal non-dominated solutions from solution space and identifying accurate Pareto fronts. To evaluate the performance of the foregoing algorithm, the related results of solving six models and a maximal covering location-allocation model are compared with several standard multi-objective evolutionary algorithms in terms of different metrics. This comparison shows that the results of the proposed MOISA are better than those obtained from other tested algorithms. Based on the solved numerical examples, the algorithm presented in this paper has many advantages over existing algorithms. Show more

Keywords: Multi-objective interior search algorithm, multi-objective optimization, Pareto fronts, meta-heuristics, performance analysis

DOI: 10.3233/JIFS-172005

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3307-3319, 2018

Authors: Li, Zhenhong | Li, Bo | Lan, Yanfei | He, Yulin

Article Type: Research Article

Abstract: This paper investigates a principal-agent problem between the operator of an information service online platform and the content provider in which the content provider’s effort to develop new content is unobservable to the operator and the market demand is unknown to both parties and characterized by an uncertain variable. The purpose of the operator is to maximize the total profit earned on the information service’s online platform by designing a contract, whereas the content provider determines the price and the effort level. Next, we apply the critical value criteria to establish two different principal-agent models from the perspective of symmetric …and asymmetric effort information. Subsequently, the optimal contracts, the optimal price and the information value of the effort information are derived, respectively. Finally, the impacts of the model parameters on the operator’s profit and the effort’s information value are presented. Show more

Keywords: Uncertainty theory, principal-agent model, information service online platform, decision criteria

DOI: 10.3233/JIFS-172017

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3321-3332, 2018