Journal of Intelligent & Fuzzy Systems - Volume 38, issue 4

Authors: Li, Meiqian | Huang, Xianjiu | Zhang, Cailiang

Article Type: Research Article

Abstract:  Intuitionistic fuzzy number, which is an extension of fuzzy number, has been applied in many fields as it considers membership degree and non-membership degree. However, in some circumstances, intuitionistic fuzzy number does not express uncertainty and vagueness well. In order to deal with this problem, a new concept of trapezoidal type-2 intuitionistic fuzzy number(TrT2IFN) is proposed in this paper. Meanwhile, the arithmetical operations of TrT2IFNs are defined. Then, a novel distance measures are proposed by taking advantage of the Hausdorff distance. Additionally, the multi-attributes decision making problem of the TrT2IFN is solved by the grey relational bidirectional projection method. Finally, …the applicability and availability of the proposed method are demonstrated by a numerical example, and the final ranking outcome of alternatives is obtained. This paper provides an effective solution for solving multi-attribute decision making in TrT2IFN environment. Show more

Keywords: Trapezoidal type-2 intuitionistic fuzzy numbers, Arithmetic operations, Score function, Hausdorff distance, Grey relational bidirectional projection method

DOI: 10.3233/JIFS-191174

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4447-4457, 2020

Authors: Dammak, Fatma | Baccour, Leila | Alimi, Adel M.

Article Type: Research Article

Abstract:  In this work we propose an approach of multi-criteria decision making (MCDM) using TOPSIS and VIKOR methods under interval-valued intuitionistic fuzzy (IVIF) sets and possibility theory. We are interested to study positive and negative ideal solutions to propose new formulas. Indeed, these solutions are presented with many formulas in literature [1, 2 ] which could cause ambiguity [3 ]. Due to the importance of possibility theory in resolution of many problems, we propose to use possibility measure for positive ideal solution and necessity measure for negative ideal solution under interval valued intuitionistic fuzzy sets. According to this, TOPSIS and VIKOR …are modified to obtain new approaches. The latter are applied to an example from literature using IVIF data. This example permits to assess the investment projects problem for ranking different projects. The found results showed different solutions from that existing in literature which can give more choice to decision makers with additional information due to use of possibility measures. Show more

Keywords: Interval-valued intuitionistic fuzzy sets, possibility measure, multi-criteria decision making, necessity measure, TOPSIS, VIKOR

DOI: 10.3233/JIFS-191223

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4459-4469, 2020

Authors: Bahrani, Payam | Minaei-Bidgoli, Behrouz | Parvin, Hamid | Mirzarezaee, Mitra | Keshavarz, Ahmad | Alinejad-Rokny, Hamid

Article Type: Research Article

Abstract: Recommender Systems (RS ) are expected to suggest the accurate goods to the consumers. Cold start is the most important challenge for RSs. Recent hybrid RS s combine ConF and ColF . We introduce an ontological hybrid RS where the ontology has been employed in its ConF part while improving the ontology structure by its ColF part. In this paper, a new hybrid approach is proposed based on the combination of demographic similarity and cosine similarity between users in order to solve the cold start problem of new user type. Also, a new approach is proposed based …on the combination of ontological similarity and cosine similarity between items in order to solve the cold start problem of new item type. The main idea of the proposed method is to expand user/item profiles based on different strategies to build higher-performing profiles for users/items. The proposed method has been evaluated on a real dataset and the experimentations indicate the proposed method has the better performance comparing with the state of the art RS methods, especially in the case of the cold start. Show more

Keywords: Recommender system, hybrid recommender system, ontology, profile expansion, KNN

DOI: 10.3233/JIFS-191225

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4471-4483, 2020

Authors: Paramo, L.A. | Garcia, E.C. | Meda, J.A. | de J. Rubio, J. | Escobedo, J.O. | Tapia, R. | Hernandez, J.O. | Lopez, G. | Novoa, J.F. | Aguilar, A.

Article Type: Research Article

Abstract: In this work, state vector estimation by means of the Fuzzy Kalman Filter (FKF) is used to generate a control signal that stabilizes an unmanned quadrotor aircraft. The framework for fuzzy Kalman Filter methodology has been successfully developed, and in this sense, the FKF is implemented and compared with Kalman Filter (KF) and extended Kalman Filter (EKF). It will be proved that the fuzzy version gives some advantages such as a smaller processing time and a smaller Mean Squared Error (MSE). Finally, these results are shown in graphics and tables.

Keywords: Kalman filtering, quadrotor, fuzzy systems stabilization, control systems

DOI: 10.3233/JIFS-191251

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4485-4494, 2020

Authors: Davarpanah, Seyed Hashem

Article Type: Research Article

Abstract: A normal human brain holds a high level of bilateral reflection symmetry. On the sagittal view, the brain can be separated into the left and the right hemispheres with approximately identical anatomical properties, so that symmetrical mirror pixels are almost similar. As a result, the symmetry information can be used to enhance results of brain segmentation methods. In this paper, I introduced a new version of the Fuzzy C-Mean (FCM) segmentation method which is called Genetic Spatial Possibilistic Fuzzy C-Mean (GSPFCM). GSPFCM integrates symmetry information with SPFCM. It is an extension of Possibilistic Fuzzy C-Mean (PFCM) on 3D Magnetic Resonance …(MR) images. GSPFCM uses the spatial information and fuzzy membership values. Spatial and possibilistic information were added in order to solve the noise sensibility defect of FCM. To integrate the symmetry information, I first extracted the Mid-Sagittal Surface using a proposed genetic algorithm. According to this algorithm, inside each axial slice, a Thin-Plate Spline (TPS) surface was constructed and a genetic algorithm was applied to fit this TPS surface to the brain data. Then, the symmetry degree of each symmetry pair voxels was calculated. Finally, the membership values in SPFCM were updated based on the corresponding symmetrical values. The efficiency of GSPFCM, was evaluated using both simulated and real Magnetic Resonance Images (MRI), and was compared to the state-of-the-art methods. My results showed images with different degrees of Intensity Non-Uniformity (INU) and different levels of noise were segmented efficiently by the GSPFCM. Show more

Keywords: 3D brain MR segmentation, Mid-Sagittal Surface, Fuzzy C-Mean, genetic algorithm, fractal dimension, possibilistic information, spatial information

DOI: 10.3233/JIFS-191258

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4495-4510, 2020

Authors: Dai, Lihong | Liu, Jinguo | Ju, Zhaojie | Gao, Yang

Article Type: Research Article

Abstract:  Gaze tracking has wide applications such as in driver fatigue detection, virtual reality, and human-computer interaction. The performance of gaze tracking depends largely on the accuracy of iris center localization. However, most of the existing gaze tracking products are intrusive or require additional equipment with a high cost. Therefore, precise localization methods of iris center in low quality images captured in a non-contact way with visible light need to be investigated. This paper proposes a novel localization method of iris center using energy map synthesis based on image gradient, isophote and midpoint of eye ROI (Region of interest). This method …combines the advantages of higher localization accuracy based on gradient, invariance to the rotation and linear transformation of light based on isophote, and iris center close to the midpoint of eye ROI. Moreover, a post-processing correction method for the closed eyes and for other large deviations of iris center position is adopted to further improve the localization accuracy. The algorithm is verified on the BioID, Talking Face Video and MUCT Face databases, and the results show that the localization accuracy in the paper has outperformed the listed state-of-the-art methods in varying illuminations. Show more

Keywords: Iris center localization, energy map synthesis, gradient, isophote, post-processing correction

DOI: 10.3233/JIFS-191281

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4511-4523, 2020

Authors: Zhaoyan, Hu | Yonglong, Luo | Xiaoyao, Zheng | Yannian, Zhao

Article Type: Research Article

Abstract:  With the popularity of networks and the increasing number of online users, recommender systems have suffered from the privacy leakage of sensitive information. While people enjoy recommender services, their information is exposed to the networks. To protect the privacy of users when using the recommender services, we propose a multi-level combined privacy-preserving model that maintains high accuracy of recommendation with privacy protection and alleviates the data sparsity problem. Our scheme contains two steps of recommendation. First, a multi-level combined random perturbation (MCRP) model is proposed on the client side. Our model dynamically divides multiple disturbance levels and adds noise of …different ranges to the rating matrix according to Gaussian and uniform mixed disturbances. Second, on the server side, we propose a pseudo rating prediction filling (PRPF) algorithm based on the matrix factorization model. Combining the PRPF algorithm with the MCRP method significantly improves the recommender accuracy and effectively increases privacy security. Sensitive analysis and comparison experiments show that the proposed privacy method has certain advantages in security and recommender accuracy by using three publicly available datasets. Show more

Keywords: Recommender system, matrix factorization, privacy protection, random perturbation, sparse data

DOI: 10.3233/JIFS-191287

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4525-4535, 2020

Authors: Lee, Woo-Joo | Jhang, Hyo-Jin | Choi, Seung Hoe

Article Type: Research Article

Abstract:  Soccer recently has become an intellectual game by predicting the outcome of games. In this study, we use path analysis to find the variable that affects the outcome of the Korea National Football Team (KNFT) matches the most, and consequently the odds of victory, defeat, or a draw, as announced by the betting company. We will also investigate the influence of the variables inferred from the path analysis and Korea’s ELO Rating on the difference between scoring and losing points of the KNFT. We will represent the dividend and the difference between scoring and losing points as fuzzy numbers using …the fuzzy decomposition, and then infer the fuzzy regression model for the result of the KNFT’s match. For this purpose, we use data on 113 games of the KNFT from September 2011 to June 2019 and the dividend rate of the KNFT obtained from Wise Toto company. Show more

Keywords: ELO rating, dividend, path analysis, fuzzy partition, regression analysis

DOI: 10.3233/JIFS-191288

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4537-4543, 2020

Authors: Olalekan, Adaraniwon Amos | Bin, Mohd Omar

Article Type: Research Article

Abstract:  In this paper, a deterministic inventory model for deteriorating items with linear deterioration rate is proposed. Demand follows a power pattern. Shortages are permitted and partially backlogged. An optimal solution is derived to minimizes the total average cost. Numerical examples are given, and sensitivity analysis carried out to show how the optimal decisions are affected by changes in different parameters in the model. Graphical representation of the convexity of the total cost against the decision variables shows the efficiency and reliability of the model.

Keywords: Inventory, power demand pattern, deterioration, linearly, shortages

DOI: 10.3233/JIFS-191323

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4545-4557, 2020

Authors: Zhou, Shibing | Liu, Fei

Article Type: Research Article

Abstract: It is critical to determine the optimal number of clusters (NC) in cluster analysis. Many cluster validity indices have been proposed, such as the Silhouette index and In-group proportion index. However, these validity indices have more time complexity. From the viewpoint of sample geometry, a new internal cluster validity index for determining the optimal NC is proposed. The new index can evaluate the clustering quality of a certain clustering algorithm and determine the optimal NC for many kinds of data sets, including synthetic data sets, benchmark data sets, and real data sets. Compared with many well-known validity indices, the proposed …index is more effective and efficient. Theoretical analysis and experimental results show the effectiveness and high efficiency of the new index. Show more

Keywords: Cluster validity index, number of clusters, affinity propagation, hierarchical clustering

DOI: 10.3233/JIFS-191361

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4559-4571, 2020