Journal of Intelligent & Fuzzy Systems - Volume 33, issue 6

Authors: Li, Lin-Hui | Qian, Bo | Lian, Jing | Zheng, Wei-Na | Zhou, Ya-Fu

Article Type: Research Article

Abstract: In recent years, traditional machine learning algorithms have been gradually replaced by deep learning algorithms. In the field of computer vision, convolutional neural network is considered to be the most successful deep learning model. Based on convolutional neural network, the accuracy of image classification has been greatly improved. In this paper, a method for semantic image segmentation based on convolutional neural network is proposed. Firstly, the disparity map is introduced to improve the segmentation accuracy. To obtain the disparity map with more continuous disparity values, an image smoothing method is used to optimize the disparity map. Then, based on the …AlexNet network, a fully convolutional network architecture is proposed for semantic image segmentation. The unpooling operation is employed to restore the extracted features to their original sizes. The experimental results demonstrate that the network can achieve high pixel-wise prediction accuracy and that using RGB-D image as the input of the network can reduce the noisy segmentation outputs. Show more

Keywords: Semantic segmentation, disparity map, convolutional neural network

DOI: 10.3233/JIFS-162254

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3397-3404, 2017

Authors: Hu, Junhua | Yang, Yao | Chen, Xiaohong

Article Type: Research Article

Abstract: The long payback period for medical care products prevents investors from immediately recognizing risks arising throughout the entire period. To avoid risk loss, delay decision should be introduced to investment decision. In this study, we illustrate investment decision from the view of three-way group decisions. Linguistic scale is widely used during assessment, but the randomness and fuzziness of linguistic information are ignored. To cover these defects, this study introduces cloud to three-way group decisions and further extends cloud to medical care product investment decision in which the weights of experts are unknown. In our proposed model, the loss functions and …conditional probability described by linguistic values in decision theoretic rough sets are converted to clouds, which can handle the fuzziness and randomness of linguistic information. The corresponding three-way decision rules are also derived from a cloud perspective. In addition, we define a new derivation degree based on the score function of cloud to determine the weights of experts in three-way group decisions. To validate the feasibility of our model, comparisons with the existing model are presented. Show more

Keywords: Three-way group decisions, linguistic assessment, cloud, decision theoretic rough sets

DOI: 10.3233/JIFS-162340

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3405-3417, 2017

Authors: Zhang, Xin | Liu, Peide | Tang, Guolin

Article Type: Research Article

Abstract: The aim of this paper is to propose some novel multiple attribute group decision making (MAGDM) methods to deal with MAGDM problems in which the attributes are interactive in the form of interval-valued hesitant uncertain linguistic numbers (IVHULNs). Firstly, some new aggregation operators for IVHULNs based on Bonferroni mean (BM) are proposed, which are the interval-valued hesitant uncertain linguistic BM (IVHULBM) operator, the normalized weighted IVHULBM (NWIVHULBM) operator, the interval-valued hesitant uncertain linguistic geometric BM (IVHULGBM) operator and the normalized weighted IVHULGBM (NWIVHULGBM) operator. The advantages of the proposed operators are that it cannot only effectively aggregate IVHULNs, but it …can also consider the interactive characteristics among attributes. At the same time, some special cases of these operators are discussed. Then, this paper demonstrates that these presented operators are able to meet four desirable properties, which are reducibility, idempotency, monotonicity, and boundedness. Moreover, to solve MAGDM problems, two approaches on the basis of the NWIVHULBM and NWIVHULGBM operators are put forward. Finally, the proposed methods are applied to a decision making problem regarding online service quality evaluation. It provides us with a useful way for MAGDM with IVHULNs. Show more

Keywords: Multiple attribute group decision making, interval-valued hesitant uncertain linguistic set, Bonferroni mean, geometric Bonferroni mean

DOI: 10.3233/JIFS-162403

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3419-3432, 2017

Authors: Davvaz, B. | Abbasizadeh, N.

Article Type: Research Article

Abstract: This paper deal with certain algebraic systems called F -polygroups. We introduce and study the concept of fuzzy topological F -polygroups and prove some related properties. In particular, the fuzzy topological isomorphism theorems of fuzzy topological F -polygroups are proved.

Keywords: F-hyperoperation, F-polygroup, fuzzy topological F-polygroups, isomorphisms theorems

DOI: 10.3233/JIFS-162414

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3433-3440, 2017

Authors: Ji, Wei | Huang, Yixiang | Qiang, Baohua | Li, Yun

Article Type: Research Article

Abstract: Feature selection is one of the key problems in machine learning and data mining. It involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. It can reduce the dimensionality of original data, speed up the learning process and build comprehensible learning models with good generalization performance. Nowadays, ensemble idea has been used to improve the performance of feature selection by integrating multiple base feature selection models into an ensemble one. In this paper, in order to improve the efficiency of feature selection in dealing with large scale, high dimension …and imbalanced problems, a Min-Max Ensemble Feature Selection (M2-EFS) is proposed, which is based on balanced data partition and min-max ensemble strategy. The experimental results demonstrate that the M2-EFS can obtain higher performance than other classical ensemble methods in most cases, especially for large scale, high dimension and imbalanced data. Show more

Keywords: Feature selection, Min-Max strategy, ensemble, data partition

DOI: 10.3233/JIFS-162431

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3441-3450, 2017

Authors: Peng, Su-Mian

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219324 .

DOI: 10.3233/JIFS-16298

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3451-3458, 2017

Authors: Xiao, Qimei | Lang, Guangming | Liu, Wenjun | Cai, Mingjie

Article Type: Research Article

Abstract: In a formal context, the lower and upper approximations of an arbitrary set of objects are constructed by object-oriented concepts, attribute-oriented concepts, approximable concepts and weak approximable concepts, respectively. We first define the concept of approximations based on lattice-theoretic operators, and the properties of them are discussed. In order to overcome the two shortcomings in the former approximations, we present the concept of approximations based on set-theoretic operators.The study can help further understanding of data analysis using rough set theory and formal concept analysis.

Keywords: Rough sets, (formal) concept, object-oriented concept, approximable concept, weak approximable concept, rough concept lattice, approximable concept lattice

DOI: 10.3233/JIFS-16318

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3459-3467, 2017

Authors: Ju, Yanbing | Ju, Dawei | Wang, Aihua | Ju, Mingyue

Article Type: Research Article

Abstract: Multiple attribute group decision making (MAGDM) is a very active research field in management sciences. Many practical MAGDM problems are often characterized by ambiguity and uncertainty. The aim of this paper is to develop an integrated MAGDM method with unknown weight information under trapezoidal interval type-2 fuzzy environment based on the grey relational projection (GRP) method. Firstly, to determine the comprehensive weights of attributes, a novel method is proposed by combining the analytic hierarchy process (AHP) technique under trapezoidal interval type-2 fuzzy environment and inter-attribute coefficient method. Secondly, the traditional GRP method is extended to solve MAGDM problems under trapezoidal …interval type-2 fuzzy environment, i.e., the optimial alternative should have the largest grey relational projection on the trapezoidal interval type-2 fuzzy positive ideal solution (TIT2-FPIS) and smallest grey relational projection on the trapezoidal interval type-2 fuzzy negative ideal solution (TIT2-FNIS) simultaneously. Finally, an emergency medical department selection problem is taken as an illustrative example to demonstrate the calculation process of the proposed method. Show more

Keywords: Trapezoidal interval type-2 fuzzy sets (TIT2FSs), analytic hierarchy process (AHP), grey relational projection (GRP), multiple attribute group decision making (MAGDM)

DOI: 10.3233/JIFS-16608

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3469-3482, 2017

Authors: Xu, Di

Article Type: Research Article

Abstract: It is a complex system, which has extensive content, to build socialistic political civilization. Socialistic political civilization includes lots of aspects, such as political consciousness civilization, political system civilization, political behavior civilization and civilization of the rule of law. Comrade Jian Zemin points out, the rule of law belongs to the category of political construction; it is one of the content of political civilization. During the new historical era of building the well-to-do society in an all-round way, to strengthen the rule of law and to build the socialist country running by law is not only the important content and …symbol of socialistic political civilization, but also the necessary insurance and way to build it. In this paper, we study on the multiple attribute decision making problems to evaluate the efficiency of socialism with Chinese characteristics by the rule of law with triangular fuzzy information. Then, we have developed the triangular fuzzy Hamacher correlated geometric (TFHCG) operator. We have exploited the TFHCG operator to multiple attribute decision making to evaluate the efficiency of socialism with Chinese characteristics by the rule of law with triangular fuzzy information. In the end, an example to evaluate the efficiency of socialism with Chinese characteristics by the rule of law with triangular fuzzy information has been proposed to prove the effectiveness of the proposed approach. Show more

Keywords: Multiple attribute decision making, triangular fuzzy number, triangular fuzzy Hamacher correlated geometric (TFHCG) operator, socialism with Chinese characteristics

DOI: 10.3233/JIFS-16615

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3483-3491, 2017

Authors: González-Caballero, Erick | Díaz, Susana | Espín, Rafael | Montes, Susana

Article Type: Research Article

Abstract: An important problem in fuzzy theory is how to determine if two elements are similar or not. There are different definitions to measure how similar or close are elements. One of the most important concepts in this context is that one of similarity. This paper aims at studying fuzzy similarities defined by fuzzy implications, logical equivalences expressed by fuzzy bi-implication operators and aggregation operators. We propose a definition of proximity between two fuzzy finite sets by using the previous operators and we study when this type of operators satisfy the formal definition of similarity.

Keywords: Similarity measure, fuzzy set, logical equivalence, fuzzy implication

DOI: 10.3233/JIFS-16861

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3493-3503, 2017