Journal of Intelligent & Fuzzy Systems - Volume 38, issue 2

Authors: Li, Weiguang | Zhu, Juan | Zhang, Yong | Zhang, Shuyan

Article Type: Research Article

Abstract: Intelligent transportation is a new type of transportation system, and it can improve the transport service system through utilizing lots of modern electronic information technologies, such as Internet of Things, cloud computing, artificial intelligence, automatic control, mobile internet.Through the comprehensive analysis and transmission of information, the system helps people properly arrange their travel routes, thus ensuring that people’s traffic travel rate can be effectively improved. This paper uses the fusion of data mining technology and distributed parallel Hadoop technology to realize the architecture of the intelligent traffic system, and uses the mining algorithm to realize the analysis of running state,and …the Internet of things are used to obtain the data from the perceptive layer. The simulation results show that the proposed system has significant performance on prediction. Show more

Keywords: Internet of things, intelligent transportation, big data, system, Hadoop, prediction

DOI: 10.3233/JIFS-190558

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1967-1975, 2020

Authors: Hashmi, Masooma Raza | Riaz, Muhammad

Article Type: Research Article

Abstract: This manuscript provides an advanced mathematical model for the censuses process to reduce the drawbacks of the existing methods. From the living ideas of m-polar fuzzy set (MPFS) and Pythagorean fuzzy set (PFS), we establish a novel concept of Pythagorean m-polar fuzzy set (PMPFS). We introduce some fundamental operations on Pythagorean m-polar fuzzy sets and explain these concepts with the help of illustrations. With this novel perspective, we build up modified forms of Dombi’s aggregation operators named as Pythagorean m-polar fuzzy Dombi weighted arithmetic average (PMPFDWAA) operator and Pythagorean m-polar fuzzy Dombi weighted geometric average (PMPFDWGA) operator. We discuss certain …properties of the proposed operators based on Pythagorean m-polar fuzzy numbers (PMPFNs). Mathematical modeling on real world problems often implicate multi-factors, multi-attributes and multi-polar information. We discuss a case study for the censuses process to elaborate the proposed algorithm for multi-criteria decision-making (MCDM). We also discuss how the drawbacks of existing methods can be handled by applying this novel perspective. Lastly, we present a comparative analysis, validity of proposed algorithm, influence of operational parameter, convergence and sensitivity analysis to indicate the flexibility and advantages of the proposed method. Show more

Keywords: Pythagorean m-polar fuzzy set (PMPFS), Pythagorean m-polar fuzzy Dombi weighted arithmetic average (PMPFDWAA) operator, Pythagorean m-polar fuzzy Dombi weighted geometric average (PMPFDWGA) operator, multi-criteria decision-making, censuses process

DOI: 10.3233/JIFS-190613

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1977-1995, 2020

Authors: Sarwar, Musavarah | Akram, Muhammad | Ali, Usman

Article Type: Research Article

Abstract: In this paper, we introduce the concepts of dominating and double dominating energy of m -polar fuzzy graphs. Using the notion of eigenvalues of m -polar fuzzy relations, we study certain formulae, lower and upper bounds of dominating and double-dominating energy. We also propose the idea of out-dominating and double out-dominating energy of m -polar fuzzy digraphs. We present a decision model based on m -polar fuzzy preference relations to solve multi-criteria decision-making problems.

Keywords: Spectrum, dominating energy, double dominating energy, out-dominating energy, double out-dominating energy, m-polar fuzzy preference relation

DOI: 10.3233/JIFS-190621

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1997-2008, 2020

Authors: Wu, Jian-Zhang | Xi, Rui-Jie | Zhu, Ye

Article Type: Research Article

Abstract:  The Choquet capacity and integral is an efficient tool to flexibly show the decision maker’s correlative preference information on multiple decision criteria as well as decision alternatives. In this paper, we enrich the capacity and Choquet integral based decision making scheme from two aspects. The first aspect is to introduce the multiple goals linear programming to aid the decision maker to find out and adjust the inconsistency among the correlative preference information, which needs little prior knowledge of field but can identify the inconsistent constraints efficiently and give the adjust suggestions flexibly. The second aspect is to propose a random …simulation based comprehensive decision aid algorithm to show the dominance relationships between all decision alternatives and then unify them into the most creditable ranking order of alternatives, which is quite different to the thought of unique representative ranking order accomplished by the optimization model of some existing methods. An illustrative example is given to show that the enriched decision making scheme is robust to deal with the inconsistent correlative preference information and also practicable to obtain the comprehensive dominance relationship of multiple decision alternatives. Show more

Keywords: Decision preference information, capacity, inconsistency check and adjustment, multiple goals linear programming, comprehensive dominance relationship

DOI: 10.3233/JIFS-190652

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2009-2019, 2020

Authors: Bayat, Peyman | Afrakhte, Hossein

Article Type: Research Article

Abstract: Integration of several single microgrids (MGs) into the conventional grids which is tends to form multi-microgrid (MMG) systems can enhance the complexity of the operation. On the other hand, the fault occurrence in the uncertain place of system has a notable influence on the energy scheduling results of each operation interval. Thus, in order for MG systems to emerge on a large scale it is necessary to design an efficient and reliable energy management strategy. From this point of view, this paper proposed a novel problem formulation along with a modified optimization algorithm to perform optimized energy management of MMG …systems. In the proposed problem formulation, the probability of the failure has been taken into consideration and decentralized multi-agents determine their optimum energy management for both faulted and normal operation modes using variable weighted multi objective function (VWMOF). In the proposed optimization algorithm which is called purpose-oriented shuffled complex evolution (POSCE), it has been tried to modify the shuffled complex evolution (SCE) algorithm to make it become an appropriate optimization method for multi-objective problems with higher coverage rate and higher success rate of search. For this purpose, all data processing and simulation results were made in MATLAB software environment and the effectiveness of the proposed method has been demonstrated on a modified reliability based case study with considering different optimization methods. Show more

Keywords: Energy management strategy, multi-microgrid (MMG), optimization, purpose-oriented shuffled complex evolution (POSCE), reliability

DOI: 10.3233/JIFS-190666

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2021-2038, 2020

Authors: Yu, Heng | Wang, Yimin | Huang, Xin | Luo, Yue | Qiu, Peiyun

Article Type: Research Article

Abstract: The safety of metro stations is threatened by various types of accidents caused by both man-made and natural causes. Knowing the accurate safety status of a metro station will help managers taking countermeasures timely, thus the safety of passengers and staff members in the station can be ensured. In order to evaluate the safety status of metro stations effectively, based on the Extension Theory, a metro station safety evaluation system was established. Fire, stampedes, violence and terrorist attacks, equipment failures, floods, and earthquake were taken into consideration in the established evaluation system. The evaluation index system includes 1 first-level index, …5 second-level indexes, 15 third-level indexes, and 55 fourth-level indexes. Then the method to determine the weights of indexes was introduced, also how to determine the score and safety grade of every index, and how to calculate the safety score for the third to first level indexes based on the Extension Theory were introduced in detail. After that, a real metro station was selected to verify the operability of the established safety evaluation system, the results show the established safety evaluation system can be used for the safety evaluation of metro stations, and can help the station safety management personnel knowing the safety status better. Show more

Keywords: Extension theory, evaluation system, risk, safety, metro station

DOI: 10.3233/JIFS-190709

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2039-2054, 2020

Authors: Guevara, Edgar | Flores-Castro, Jorge-Arturo | Peng, Ke | Nguyen, Dang Khoa | Lesage, Frédéric | Pouliot, Philippe | Rosas-Romero, Roberto

Article Type: Research Article

Abstract: Research to predict epileptic seizures has been mainly focused on the analysis of electroencephalography (EEG) signals; however, recent research efforts have encouraged the use of a relatively new optical signal modality, called functional Near-Infrared Spectroscopy (fNIRS). In fNIRS, near-infrared light is injected into the scalp and the intensity of the reflected light is registered in optodes. Light absorption in hemoglobin depends on the level of blood oxygenation, which is related to brain activity. In this technique, two parameters are measured at each optode, the relative level of oxygenated hemoglobin (HbO) and the relative level of deoxygenated …hemoglobin (HbR). In this work we investigated the feasibility of predicting epileptic seizures, using either fNIRS, EEG, or a combination of both signals. In one set of experiments, different implementations for epileptic seizure prediction are tested by using (1) different combinations of electrical and optical signals (EEG, HbO, HbR, EEG+HbO, EEG+HbR, HbO+HbR, EEG+HbO+HbR) and (2) two different classifiers, (Support Vector Machine - SVM and Multi-Layer Perceptron - MLP). In the second set of experiments, seizures are predicted within a five-minute window that is moved up to 15 minutes before the start of the epileptic seizure. By computing the Positive Predictive Value (PPV) and the accuracy , it is demonstrated that fNIRS-based epileptic prediction outperforms EEG-based epileptic prediction. By using optical signals and the SVM classifier, a PPV greater than 99% and an accuracy of 100% were obtained. PPV values of 100% are also obtained when seizures are predicted up to 15 minutes in advance. Furthermore, Kernel Discriminant Analysis (KDA) is used to demonstrate that the highest separability among the classes, corresponding to different epileptic signal phases (pre-ictal , ictal , and inter-ictal ), is achieved when fNIRS recordings are used as features for prediction. Finally, fNIRS-based epileptic seizure prediction is tested with Random Chance classifiers. In this study, we showed that fNIRS signals are an effective tool to predict epileptic seizures, even without the use of EEG signals, which are the current standard for seizure prediction. Show more

Keywords: Epileptic seizure, seizure prediction, functional near infra red spectroscopy (fNIRS), electroencephalogram (EEG), multi-layer perceptron (MLP), support vector machine (SVM)

DOI: 10.3233/JIFS-190738

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2055-2068, 2020

Authors: Dorosti, Shadi | Fathi, Mahdi | Ghoushchi, Saeid Jafarzadeh | Khakifirooz, Marzieh | Khazaeili, Mohammad

Article Type: Research Article

Abstract: The amount of time patients spends on services to be delivered in clinics, still is a major problem of some health centers. To solve this problem, various methods proposed by researchers. Failure Mode and Effects Analysis (FMEA) is one of the most used approaches to identify influential failure modes in prolongation of waiting time. In the FMEA method, numeric scores assign to failure modes, using the Risk Priority Number (RPN), but RPN criticized for its shortcoming and leads to unreal results. In this paper, to cover the conventional FMEA shortcoming, firstly, eleven risk factors result in prolongation of waiting time …introduced by experts. Secondly, integration of the triangular fuzzy number (TFN) with the Best Worth Method (fuzzy-BWM) was utilized to determine the weights of effective criteria. In the following, failure modes ranked through fuzzy Multi-Objective Optimization by Ratio Analysis (fuzzy-MOORA). Finally, the ranks of eleven failure modes compared in three different methods (Conventional FMEA, conventional MOORA, and fuzzy-MOORA). The potential usage of this method is covering the shortcoming of previous methods and contribute certainty in identifying significant failure modes of the patient waiting time reduction in Out-Patient Departments (OPD). According to the analysis, three main failures for managing waiting time are: the patients never follow up for a later date by the center which can result in chaos in OPD, because of phone or in-person referrals. Secondly, unable to manage canceling/postponing an appointment in emergency cases, Thirdly, office visit not done in the estimated time, which results in a disordering in the center. Show more

Keywords: Patient waiting time, out-patient departments, failure mode and effects analysis, fuzzy best-worst method, fuzzy multi-objective optimization by ratio analysis

DOI: 10.3233/JIFS-190777

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2069-2080, 2020

Authors: Gülle, Esra

Article Type: Research Article

Abstract: In this paper, we study the concepts of Wijsman asymptotically statistical equivalence of order α , Wijsman asymptotically strongly p -Cesàro equivalence of order α and Hausdorff asymptotically statistical equivalence of order α for double set sequences. Also, we research some properties of these concepts and give the inclusion relationships between them.

Keywords: Asymptotic equivalence, statistical convergence, Cesàro summability, order α, Wijsman convergence, Hausdorff convergence, double set sequences

DOI: 10.3233/JIFS-190796

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2081-2087, 2020

Authors: Fan, Jianping | Jia, Xuefei | Wu, Meiqin

Article Type: Research Article

Abstract: This paper proposes a new method, which combines the Power operator and the evaluation based on distance from average solution (EDAS) method to deal with the fuzzy multi-criteria group decision problem in the Single-valued triangular Neutrosophic sets (SVTNS) environment. Firstly, we define the normalized Euclidean distance between two single-valued triangular Neutrosophic numbers, and propose the Power weighted averaging (PWA) operator, Power weighted geometric (PWG) operator, generalized Power weighted averaging (GPWA) operator and generalized Power weighted geometric (GPWG) operator of SVTNS. Then, those operators and EDAS method are combined to construct a new multi-criteria group decision-making model. Finally, the model is …applied to the problem of the investment projects selection, which proves its applicability and feasibility. Show more

Keywords: Single-valued triangular neutrosophic sets, power average operator, power geometric operator, EDAS

DOI: 10.3233/JIFS-190811

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2089-2102, 2020