Journal of Intelligent & Fuzzy Systems - Volume 37, issue 1

Authors: Afrasiabi, Mousa | Afrasiabi, Shahabodin | Parang, Benyamin | Mohammadi, Mohammad

Article Type: Research Article

Abstract: Differential protection of power transformers, as the fundamental protection, plays an important role in power system reliability and security. The main challenge in differential protection is discrimination between internal faults of power transformers and inrush current. Development of differential protection, especially discrimination between internal faults from other disturbances, have been a favorite subject in power system protection field over decades. Traditional methods proposed so far have several shortcomings: i) high computational burden, ii) sensitivity to noise, iii) being influenced by predefined threshold value/additional parameters/different models at varying ambient conditions, and iv) dependence on handcrafted or spectral analysis to extract features. …Deep neural networks (DNN) is selected as the potential solution in this paper, which is able to capture the hierarchical features of a half-cycle of raw data. This paper proposes convolutional neural networks (CNN), in which batch normalization and scaled exponential linear unit (SELU) are merged to enhance differential protection performance. In order to generalize the CNN-based differential protection, several external factors, i.e. the compensation error of current transformer (CT) saturation, series compensated line, and superconducting fault current limiter (SFCL) are conducted to verify the reliability of the proposed method through different reliability metrics. The simulation and experimental results are assessed to show high reliability and the speed of the proposed method. Show more

Keywords: Inrush current, Power transformer protection, Differential protection, Convolutional neural network (CNN)

DOI: 10.3233/JIFS-182615

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1165-1179, 2019

Authors: Hamidi, Mohammad | Borumand Saeid, Arsham | Smarandache, Florentin

Article Type: Research Article

Abstract: This study introduces the notion of n -valued refined neutrosophic (EQ -subalgebras)EQ –(pre)filters and investigates some of their properties. We show how to construct n -valued refined neutrosophic EQ -(pre)filters and determine the relationship between n -valued refined neutrosophic EQ -(pre)filters and EQ –(pre)filters with respect to (α , β , γ )-level set. Finally, the extension of n –valued refined neutrosophic EQ –(pre)filters are considered via homomorphisms and some applications of n –valued refined neutrosophic EQ –(pre)filters are presented.

Keywords: n–valued refined neutrosophic EQ–subalgebras, n–valued refined neutrosophic EQ–(pre)filters

DOI: 10.3233/JIFS-182618

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1181-1196, 2019

Authors: Kutlu Gündoğdu, Fatma | Kahraman, Cengiz

Article Type: Research Article

Abstract: The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS), whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been developed by Kutlu Gündoğdu and Kahraman (2019), including their arithmetic operations, aggregation operators, and defuzzification operations. Spherical Fuzzy Sets (SFS) are a new extension of Intuitionistic, Pythagorean and Neutrosophic Fuzzy sets, a SFS is characterized by a membership degree, a nonmembership degree, and a hesitancy degree satisfying the condition that their squared sum …is equal to or less than one. These sets provide a larger preference domain in 3D space for decision makers (DMs). In this paper, our aim is to extend classical VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to spherical fuzzy VIKOR (SF-VIKOR) method and to show its applicability and validity through an illustrative example and to present a comparative analysis between spherical fuzzy TOPSIS (SF-TOPSIS) and SF-VIKOR. We handle a warehouse location selection problem with four alternatives and four criteria in order to demonstrate the performance of the proposed SF-VIKOR method. Show more

Keywords: Spherical fuzzy sets, multicriteria decision making, VIKOR, warehouse location selection

DOI: 10.3233/JIFS-182651

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1197-1211, 2019

Authors: Zhu, Cheng | Mesiar, Radko | Yager, Ronald R. | Merigo, Jose | Qin, Jindong | Feng, Xiangqian | Jin, Lesheng

Article Type: Research Article

Abstract: In this work, we propose some two-layer preference models that can be appropriately applied in management problems such as the group decision making about predicting the future market share of certain product. By introducing the convex IOWA operator paradigm and some related properties and definitions, we list some detailed preference and inducing preference models to demonstrate and exemplify the proposed conceptual frame of two-layer preference model. The convex IOWA operator paradigm facilitates the modeling process and, from mathematical view, makes it stricter. When relevant inducing information and aggregation selection change, the proposed models can be easily adapted to accommodate more …different applications in decision making and evaluation. Show more

Keywords: Aggregation operators, decision making, induced aggregation, ordered weighted averaging operators, orness/andness, preference model

DOI: 10.3233/JIFS-182671

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1213-1221, 2019

Authors: Li, Jiansheng | Gong, Zengtai | Shao, Yabin

Article Type: Research Article

Abstract: Intuitionistic fuzzy transform is an approximate method based on the intuitionistic fuzzy partition. To begin with, a novel definition of intuitionistic fuzzy partition is given, and the properties of triangular intuitionistic fuzzy partition are also given. Secondly, the method of intuitionistic fuzzy transform is introduced, which transforms a continuous function into two gravity vectors according to the membership and non-membership functions that based on intuitionistic fuzzy partition. Some fundamental properties of intuitionistic fuzzy partition are surveyed. Thirdly, the method of inverse intuitionistic fuzzy transform is established by using the previous gravity vectors corresponding to the intuitionistic fuzzy partition. The results …show that the approximate function of the original one can be rebuilt by the membership and non-membership functions respectively. even a hybrid approximate function can be rebuilt by both the membership and non-membership functions. Finally, some elementary properties of the inverse intuitionistic fuzzy transform are studied and the method is illustrated by a specific example. Show more

Keywords: Intuitionistic fuzzy set, intuitionistic fuzzy partition, intuitionistic fuzzy transform, inverse intuitionistic fuzzy transform

DOI: 10.3233/JIFS-182681

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1223-1232, 2019

Authors: ElAraby, M.E. | Abuelenin, Sherihan M. | Moftah, Hossam M. | Rashad, M.Z.

Article Type: Research Article

Abstract: Cloud computing offers elastic features to alleviate the challenges of web crawling. Building crawlers in a scalable fashion has become highly needed. This paper proposes a new Focused Crawler (FC) architecture that can be introduced as a service over the cloud computing. The proposed FC has a service called a Topic Filter Service (TFS), which is responsible for filtering retrieved pages before indexing and extracting links to add them in the crawling queue. TFS relies on the Deep Neural Network (DNN) classifier. TFS is trained by a dataset. This dataset is processed by an outlier rejection using support vector machine …classifier. Moreover, this proposed FC has a further service called Concept Weight Handler (CWH). It is responsible for handling the keywords such as concepts based on meanings and it calculates the weight of each concept. Experimental results show that cloud computing services provide a better environment for running and improving the speed of crawling. The proposed classifier has been tested in comparison with other classification techniques and has proved highly accurate. The overall accuracy offered by the employed architecture confirms that the effectiveness and performance of the proposed FC is high. Show more

Keywords: Focused Crawler, deep neural network, cloud computing, topic filter service, concept web page

DOI: 10.3233/JIFS-182683

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1233-1245, 2019

Authors: Yang, Rong | Wang, Yun | Hui, Bin | Qiu, Li

Article Type: Research Article

Abstract: The Choquet integral, established with respect to signed fuzzy measure, is an effective aggregation tool in information fusion and classification. Critical coefficients in Classifiers based on Choquet Integral (CCI) are the values of signed fuzzy measure. Currently, determination of these coefficients is either preset subjectively by experience, or retrieved by global optimization methods which are time-consuming, especially when the number of predictive attributes is large. In this paper, an analytic derivation to retrieve the values of signed fuzzy measure in CCI is proposed via discriminant analysis for the first time. On this basis, a generalized Hierarchical Classifiers based on Choquet …Integral (HCCI) is established, where a set of scaling parameters is added to CCI to balance the scales of different dimensions. Retrieving of the scaling parameters and the signed fuzzy measure is achieved by a hierarchical structure of program in which a genetic algorithm is embedded with the analytic derivation being proposed in this paper. Performance validation on synthetic and benchmark data sets are conducted to reveal the feasibility and effectiveness of the proposed methods. Show more

Keywords: Classification, Choquet integral, fuzzy measure, discriminant analysis, genetic algorithm

DOI: 10.3233/JIFS-182699

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1247-1258, 2019

Authors: Abdullah, Lazim | Mohd, Wan Rosanisah Wan

Article Type: Research Article

Abstract: Pythagorean fuzzy Hamacher aggregation operator is one of the aggregation operators in a Pythagorean fuzzy decision making environment. In most cases, it is assumed that all elements in Pythagorean fuzzy set (PFSs) are independent. However, in real life of decision problems, most of the criteria are interrelated. Population size in a solid waste management decision, for example, is related to human health since the two criteria are mutually dependent. This paper aims to introduce an aggregation operator that purposely dealt with the interactions between elements of PFSs. The Choquet integral operator is used to propose an innovation to the Pythagorean …fuzzy Hamacher operator. Pythagorean fuzzy Hamacher Choquet integral average operators (PFHCIA) and Pythagorean fuzzy Hamacher Choquet integral geometric operators (PFHCIG) are proposed. The beauty of the proposed operators is it consider the interaction of the criteria in the decision making process. The proposed aggregation operators are the extension to the Pythagorean fuzzy Hamacher aggregation operators where Choquet integral is used to handle interactions between criteria. As the case study is considered, a water resource management problem is presented to portraythe application the proposed approach. Comparable results are also presented to check its feasibility and effectiveness. It is shown that the ranking using the proposed operators are inconsistent with the existing method. The importance of an aggregation function that can capture the problem of interdependence between the criteria is the main contribution of this paper. Show more

Keywords: Pythagorean fuzzy set, aggregation operators, hamacher operation, decision-making, choquet integral

DOI: 10.3233/JIFS-182704

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1259-1274, 2019

Authors: Mehmood, Faisar | Ali, Rashid | Hussain, Nawab

Article Type: Research Article

Abstract:  In this paper, by introducing the concept of a fuzzy rectangular-b -metric space, the notion of a fuzzy metric space and a fuzzy b -metric space are generalized. The well known metric fixed point theorems are established in the setting of fuzzy rectangular b -metric spaces and illustrated by examples. To show the significance of our result an application is presented to establish the existence of a solution of integral equation. Our results generalize many existing theorems in the literature.

Keywords: b-metric space, Fuzzy b-metric space, Fixed points, Contractions

DOI: 10.3233/JIFS-182719

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1275-1285, 2019

Authors: Manuel Escaño, Juan | Sánchez, Adolfo J. | Witheephanich, Kritchai | Roshany-Yamchi, Samira | Bordons, Carlos

Article Type: Research Article

Abstract: In this work, a novel methodology is presented to reduce the computational complexity of applying explicit solution of Model Predictive Control (MPC). The methodology is based on applying the functional principal component analysis , providing a mathematically elegant approach to reduce the complexity of rule-based systems, like piecewise affine systems, allowing the reduction of the number of consequents and combining and merging the antecedents. Thus, the application of MPC is allowed in systems with low computational requirements, such as programmable logic controllers, embedded systems, etc. The proposed design has been validated using an industrial distiller model.

Keywords: Piece wise affine, functional principal component analysis, model predictive control, fuzzy control

DOI: 10.3233/JIFS-182743

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1287-1298, 2019