Journal of Intelligent & Fuzzy Systems - Volume 40, issue 1

Authors: Bai, Luyi | Li, Nan | Bai, Huilei

Article Type: Research Article

Abstract: With the growing importance of the fuzzy spatiotemporal data in information application, there is an increasing need for researching on the integration method of multi-source heterogeneous fuzzy spatiotemporal data. In this paper, we first propose a fuzzy spatiotemporal RDF graph model based on RDF (Resource Description Framework) that proposed by the World Wide Web Consortium (W3C) to represent data in triples (subject, predicate, object). Secondly, we analyze and classify the related heterogeneous problems of multi-source heterogeneous fuzzy spatiotemporal data, and use the fuzzy spatiotemporal RDF graph model to define the corresponding rules to solve these heterogeneous problems. In addition, based …on the characteristics of RDF triples, we analyze the heterogeneous problem of multi-source heterogeneous fuzzy spatiotemporal data integration in RDF triples, and provide the integration methods FRDFG in this paper. Finally, we report our experiments results to validate our approach and show its significant superiority. Show more

Keywords: RDF, multi-source heterogeneous fuzzy spatiotemporal data, data integration

DOI: 10.3233/JIFS-201258

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1065-1082, 2021

Authors: Stefenon, Stéfano Frizzo | Kasburg, Christopher | Freire, Roberto Zanetti | Silva Ferreira, Fernanda Cristina | Bertol, Douglas Wildgrube | Nied, Ademir

Article Type: Research Article

Abstract: The generation of electric energy by photovoltaic (PV) panels depends on many parameters, one of them is the sun’s angle of incidence. By using solar active trackers, it is possible to maximize generation capacity through real-time positioning. However, if the engines that update the position of the panels use more energy than the difference in efficiency, the solar tracker system becomes ineffective. In this way, a time series forecasting method can be assumed to determine the generation capacity in a pre-established horizon prediction to evaluate if a position update would provide efficient results. Among a wide range of algorithms that …can be used in forecasting, this work considered a Neuro-Fuzzy Inference System due to its combined advantages such as smoothness property from Fuzzy systems and adaptability property from neural networks structures. Focusing on time series forecasting, this article presents a model and evaluates the solar prediction capacity using the Wavelet Neuro-Fuzzy algorithm, where Wavelets were included in the model for feature extraction. In this sense, this paper aims to evaluate whether it is possible to obtain reasonable accuracy using a hybrid model for electric power generation forecasting considering solar trackers. The main contributions of this work are related to the efficiency improvement of PV panels. By assuming a hybrid computational model, it is possible to make a forecast and determine if the use of solar tracking is interesting during certain periods. Finally, the proposed model showed promising results when compared to traditional Nonlinear autoregressive model structures. Show more

Keywords: Photovoltaic panels, Neuro-Fuzzy inference system, time series forecasting, wavelets, solar trackers

DOI: 10.3233/JIFS-201279

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1083-1096, 2021

Authors: Muhiuddin, G.

Article Type: Research Article

Abstract: In this paper, neutrosophic N -structures are applied to p -ideals of BCI -algebras. In fact, we introduce the notion of neutrosophic N -p -ideal in BCI -algebras, and investigate several properties. Further, we present characterizations of neutrosophic N -p -ideal. Moreover, we consider relations between a neutrosophic N -ideal and a neutrosophic N -p -ideal. Also, we provide conditions for a neutrosophic N -ideal to be a neutrosophic N -p -ideal. …Furthermore, it is proved that the neutrosophic N -structure Q N G over Q is a neutrosophic N p -ideal of Q ⇔ G is a p-ideal of Q where G is a non-empty subset of a BCI -algebras Q . Show more

Keywords: BCI-algebra, p-ideal, neutrosophic set, neutrosophic 𝒩-ideal, neutrosophic 𝒩p-ideal

DOI: 10.3233/JIFS-201309

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1097-1105, 2021

Authors: Liu, Peide | Akram, Muhammad | Bashir, Ayesha

Article Type: Research Article

Abstract: This article puts forward an innovative notion of complex picture fuzzy set (CPFS) which is particularly an extension and a generalization of picture fuzzy sets (PFSs) by the addition of phase term in the description of PFSs. The uniqueness of CPFS lies in the capability to manage the uncertainty and periodicity, simultaneously, due to the presence of phase term which broadens the range of CPFS from a real plane to the complex plane of unit disk. We describe and verify the fundamental operations and properties of CPFSs. We introduce the aggregation operators, namely; complex picture fuzzy power averaging and complex …picture fuzzy power geometric operators in CPFSs environment, based on weighted and ordered weighted averaging and geometric operators. We construct multi-criteria decision making (MCDM) problem, using these operators and describe a numerical example to illustrate the validity and competence of this article. Finally, we discuss the advantages of this generalized concept of aggregation technique and analyze a comparative study to demonstrate the superiority and consistency of our model. Show more

Keywords: Complex picture fuzzy set, power aggregation operators, multi-criteria decision making

DOI: 10.3233/JIFS-201385

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1107-1128, 2021

Authors: Azhar, Kamran | Zafar, Sohail | Kashif, Agha | Zahid, Zohaib

Article Type: Research Article

Abstract: Fault-tolerant resolving partition is natural extension of resolving partitions which have many applications in different areas of computer sciences for example sensor networking, intelligent systems, optimization and robot navigation. For a nontrivial connected graph G  (V  (G ) , E  (G )), the partition representation of vertex v with respect to an ordered partition Π  = {S i  : 1 ≤ i  ≤ k } of V  (G ) is the k -vector r ( v | Π ) = ( d ( v , S i ) ) i = 1 k , where, d  (v …, S i ) = min {d  (v , x ) |x  ∈ S i }, for i  ∈ {1, 2, …, k }. A partition Π is said to be fault-tolerant partition resolving set of G if r  (u |Π ) and r  (v |Π ) differ by at least two places for all u  ≠ v  ∈ V  (G ). A fault-tolerant partition resolving set of minimum cardinality is called the fault-tolerant partition basis of G and its cardinality the fault-tolerant partition dimension of G denoted by P ( G ) . In this article, we will compute fault-tolerant partition dimension of families of tadpole and necklace graphs. Show more

Keywords: Tadpole graph, necklace graph, partition dimension, fault-tolerant partition dimension

DOI: 10.3233/JIFS-201390

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1129-1135, 2021

Authors: Lu, Xiangyang | Li, Hengyi | Li, Xiaoquan | Xu, Juncai

Article Type: Research Article

Abstract: The security of a train becomes a more critical issue as the train’s speed and the complexity of the railway conditions increases. It is especially true when the train runs on a curved radius rail when the lateral force between the train and the rail is less stable. The rail’s side grinding is a significant problem that affects the train’s safety, especially when the train passes through small radial sections in mountainous areas. The intelligent rail lubrication system is critical to enhancing rails’ safety and efficiency and reducing grease pollution along rail lines. This system is modeled with a force …analysis of train curve motion and numerical simulation of wear power. The lubrication system is constructed with hardware and software. Based on fuzzy group analysis, this system and the adaptive Proportional Integration Differential (PID) controller is presented to improve the lubricative effects. The system test results show that the quality of lubrication control using this system is efficacious; the control convergence is more reliable than the conventional PID controller. Show more

Keywords: Security, curve rail, adaptive PID, lubrication system

DOI: 10.3233/JIFS-201398

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1137-1146, 2021

Authors: Cheng, Yali | Li, Yonghong | Yang, Jie

Article Type: Research Article

Abstract: Linguistic intuitionistic fuzzy sets can qualitatively rather than quantitatively express data in the form of membership degree. But quantitative tools are required to handle qualitative information. Therefore, an improved linguistic scale function, which can more accurately manifest the subjective feelings of decision-makers, is employed to deal with linguistic intuitionistic information. Subsequently, due to some commonly used distance measures do not comprehensively evaluate the information of linguistic intuitionistic fuzzy sets, an improved distance measure of linguistic intuitionistic fuzzy sets is designed. It considers the cross-evaluation information to get more realistic reasoning results. In addition, a new similarity measure defined by nonlinear …Gaussian diffusion model is proposed, which can provide different response scales for different information between various schemes. The properties of these measures are also studied in detail. On this basis, a method in linguistic intuitionistic fuzzy environment is developed to handle multi-attribute decision-making problems. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method and the influence of the parameters is analyzed. Show more

Keywords: Linguistic intuitionistic fuzzy set, linguistic scale function, distance measure, similarity measure, multi-attribute decision-making

DOI: 10.3233/JIFS-201429

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1147-1160, 2021

Authors: Zhang, Yang | Ye, Jianmu

Article Type: Research Article

Abstract: As an important psychological feature that affects the strategic decision-making of top management team (TMT), risk preference exerts important impact on the failure of innovation. Taking Chinese pharmaceutical listed companies from 2011 to 2017 as research samples, this paper uses principal component analysis and probit regression model to empirically test the impact of TMT risk preference on technological innovation failure of firms from the perspective of government intervention. It is found that TMT’s risk preference has a significantly positive impact on the failure of firms’ technological innovation. The regulatory role of government intervention between TMT’s risk preference and failure of …firms’ technological innovation is an inverted U-shaped relationship. Low or high level of government intervention will promote the positive impact of TMT’s risk preference on the failure of technological innovation, and increase the risk of technological innovation failure. The findings of this study contribute to: (1) broaden the research perspective of technological innovation failure. (2) The innovation failure rate can be reduced by constructing or optimizing the TMT and the government intervening in firm innovation through reasonable and perfect technology innovation guidance policies. (3) expand the research means of innovation failure, making the results more convincing. Show more

Keywords: TMT, Risk preference, Failure of technological innovation, Government intervention

DOI: 10.3233/JIFS-201516

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1161-1173, 2021

Authors: Shalaby, Raafat | Ammar, Hossam Hassan | Azar, Ahmad Taher | Mahmoud, Mohamed I.

Article Type: Research Article

Abstract: This paper seeks to improve the efficiency of photovoltaic (PV) water pumping system using Fractional-order Fuzzy Maximum Power Point Tracking (FoF-MPPT) control and Gray Wolf Optimization (GWO) technique. The fractional calculus has been used to provide an enhanced model of PV water pumping system to, accurately, describe its nonlinear characteristics. Moreover, three metaheuristic optimizers are applied to tune the parameters of the proposed FoF-MPPT, Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and the GWO. The FoF-MPPT is intensively tested and compared to the Perturb and Observe (PO), the Incremental Conductance (INC) and the FL-MPPT controllers. A MATLAB-Simscape based physical …model of the PV water pumping system has been developed and simulated for different control techniques with the proposed optimization algorithms. The response of the PV water pumping systems is evaluated under rapidly changing weather conditions to prove the effectiveness of the optimized FoF-MPPT compared to the conventional algorithms. The reliability of the comparative study has been emphasized in terms of several transient tracking and steady- state performance indices under different operating conditions. The simulation results show the effective performance of the proposed metaheuristic optimized FL-MPPT and FoF-MPPT control under different climatic conditions with disturbance rejection and robustness analysis. Show more

Keywords: Optimal Fractional Order Control, Fractional Order Systems, optimal control, Maximum Power Point Tracking

DOI: 10.3233/JIFS-201538

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1175-1190, 2021

Authors: Verma, Rajkumar

Article Type: Research Article

Abstract: The development of information measures associated with fuzzy and intuitionistic fuzzy sets is an important research area from the past few decades. Divergence and entropy are two significant information measures in the intuitionistic fuzzy set (IFS) theory, which have gained wider attention from researchers due to their extensive applications in different areas. In the literature, the existing information measures for IFSs have some drawbacks, which make them irrelevant to use in application areas. In order to obtain more robust and flexible information measures for IFSs, the present work develops and studies some parametric information measures under the intuitionistic fuzzy environment. …First, the paper reviews the existing intuitionistic fuzzy divergence measures in detail with their shortcomings and then proposes four new order-α divergence measures between two IFSs. It is worth mentioning that the developed divergence measures satisfy several elegant mathematical properties. Second, we define four new entropy measures called order-α intuitionistic fuzzy entropy measures in order to quantify the fuzziness associated with an IFS. We prove basic and advanced properties of the order-α intuitionistic fuzzy entropy measures for justifying their validity. The paper shows that the introduced measures include various existing fuzzy and intuitionistic fuzzy information measures as their special cases. Further, utilizing the conventional multi-attributive border approximation area comparison (MABAC) model, we develop an intuitionistic fuzzy MABAC method to solve real-life multiple attribute group decision-making problems. Finally, the proposed method is demonstrated by using a practical application of personnel selection. Show more

Keywords: Divergence measure, entropy measure, intuitionistic fuzzy set, MABAC model, personnel selection

DOI: 10.3233/JIFS-201540

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1191-1217, 2021