Journal of Intelligent & Fuzzy Systems - Volume 46, issue 1

Authors: Hu, Fang

Article Type: Research Article

Abstract: There is a lack of domestic and foreign research on the evaluation and improvement strategies of business performance of performing arts enterprises, especially in the context of the “restructuring” of cultural groups in China. Most of the existing studies are distributed in bulk, not only lacking in theoretical depth, but also lacking in systematization to a certain extent, which shows that the existing studies have not fully formed a mature and valuable theoretical system. The business performance evaluation of performing arts enterprises is a multiple attributes group decision making (MAGDM). This paper constructs a novel probabilistic hesitant fuzzy Multi-Objective Optimization …Simple Ratio Analysis (PHF-MOOSRA) model based on the integrated determination of objective criteria weights (IDOCRIW) under the probabilistic hesitant fuzzy sets (PHFSs) for this issue. The PHFSs provides an evaluation circumstance containing more information which make the final decision-making results more accurately. Additionally, the IDOCRIW method separately and the MOOSRA method based on the MOORA method is proposed in PHFSs circumstance in this model. In the end, this model is then applied in a numerical case study for business performance evaluation of performing arts enterprises and compare this model with other existing methods. Show more

Keywords: Multiple attributes group decision making (MAGDM), probabilistic hesitant fuzzy sets (PHFSs), MOOSRA method, IDOCRIW method, business performance evaluation

DOI: 10.3233/JIFS-224342

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2193-2205, 2024

Authors: Bhandari, Samir Kumar | De la Sen, Manuel | Chandok, Sumit

Article Type: Research Article

Abstract: In this article, the probabilistic metric distance between two disjoint sets is utilised to define the essential criteria for the existence and uniqueness of the best proximity point, which takes into account the global optimization problem. In order to solve this problem, we pretend that we are trying to obtain the optimal approximation to the solution of a fixed point equation. Here, we introduce two types of probabilistic proximal contraction mappings and use a geometric property called Ω -property in the context of probabilistic metric spaces. We also obtain some consequences for self-mappings, which give the fixed point results. Some …examples are provided to validate the findings. As an application, we obtain the solution to a second-order boundary value problem using a minimum t -norm in the context of probabilistic metric spaces. Show more

Keywords: Probabilistic metric spaces, best proximity point, Ω-property, fixed point

DOI: 10.3233/JIFS-231315

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2207-2218, 2024

Authors: Cui, Tong | Sun, Peixi | Liu, Xiao

Article Type: Research Article

Abstract: Corporate culture has its own development laws and may play a significant role in a short period of time, but its development and improvement are a relatively long-term task. The construction of corporate culture is a systematic project that varies depending on the enterprise. For enterprises, the construction of corporate culture has very important practical significance for the re integration of the enterprise team and the enhancement of competitive strength. Culture is a productive force, and the role of corporate culture is more direct. Therefore, enterprises should focus on their own development goals, create their own unique corporate culture based …on learning and reference, and meet market challenges with a new look and strong strength. The effectiveness evaluation of corporate culture construction is a classical multiple attribute decision making (MADM). Recently, the TODIM and VIKOR method has been used to cope with MADM issues. The neutrosophic cubic sets (NCSs) are used as a tool for characterizing uncertain information during the effectiveness evaluation of corporate culture construction. In this manuscript, the neutrosophic cubic number TODIM-VIKOR (NCN-TODIM-VIKOR) method is built to solve the MADM under NCSs. In the end, a numerical case study for effectiveness evaluation of corporate culture construction is given to validate the proposed method. The research aim of the paper is summarized: (1) the NCN-TODIM-VIKOR is proposed for MADM problem with NCSs; (2) The attributes weight information is obtained through information entropy; (3) the NCN-TODIM-VIKOR method is designed for effectiveness evaluation of corporate culture construction and were compared with some existing methods; (4) Through the comparison, it is found that NCN-TODIM-VIKOR method for effectiveness evaluation of corporate culture construction proposed are effective. Show more

Keywords: Multiple attribute decision making (MADM), Neutrosophic cubic sets (NCSs), TODIM, VIKOR, effectiveness evaluation of corporate culture construction

DOI: 10.3233/JIFS-231841

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2219-2231, 2024

Authors: Hosseini Monfared, Seyede Nasrin | Hosseinzadeh Lotfi, Farhad | Mozaffari, Mohammad Reza | Rostamy malkhalifeh, Mohsen

Article Type: Research Article

Abstract: In conventional DEA models it has been assumed that each measure status is considered input or output. However, a performance measure in some cases can have input role for some DMUs and output role for others and is known as flexible measure. In this paper new slacks-based FNSBM models are proposed in general two-stage network DEA to determine the relative efficiency of units and the role of flexible measures. Then new radial FNDEA-R models and new slacks-based FNSBM-DEA-R models are developed in the presence of flexible measures based on the ratio of input components to output components or vice versa …in the input and output orientation under constant returns to scale in general two-stage network. In our proposed models, flexible measures are determined as input or output to improve performance to maximize the relative efficiency of the DMU under evaluation. The FNDEA-R and FNSBM-DEA-R models versus FNSBM models prevent efficiency underestimation and pseudo inefficiency issues. The status of one flexible measure in the input-oriented and output-oriented FNDEA-R and FNSBM-DEA-R models may have different conclusions. The radial FNDEA and FNDEA-R models have unitsinvariant and the objective function of the FNSBM and FNSBM-DEA-R models are invariant with respect to the units of data. A numerical example is used to illustrate the procedures. Show more

Keywords: Data envelopment analysis, flexible measures, SBM model, ratio analysis, general two-stage network

DOI: 10.3233/JIFS-231925

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2233-2259, 2024

Authors: Kumar, Ashish | Maan, Vijay Singh | Choudhary, Ravi | Saini, Monika

Article Type: Research Article

Abstract: The main objective of present investigation is to evaluate and optimize the operational availability of the solar photovoltaic systems. As the solar energy is a prominent source of renewal energy and contribute a lot in global development having less environmental impacts but the safety and reliability issues of these systems also observed during the operational phase. Availability is an effective tool that is used to discourse the safety and performance issues of renewal energy sources especially solar photovoltaic systems. Here, a stochastic model is developed for solar photovoltaic system having solar photovoltaic plates, solar charger, solar battery, and inverter. The …Markov birth-death process is applied for development of the mathematical model of the proposed system. The chapman-Kolmogorov differential difference equations of the proposed solar photovoltaic system used to predict the steady state availability of system. On the basis of literature, the failure and repair rates of all components of solar photovoltaic system are considered as exponentially distributed. In addition, an effort is also made to predict the optimum availability of solar photovoltaic system using well-known optimization technique cuckoo search algorithm. It is revealed that, the predicted availability of the solar photovoltaic system is 0.9988799 at population size 60 after 700 iterations. The estimated parametric values of the failure and repair rates also derived. To highlight the importance of the study the numerical and graphical results are presented and shared with the system designers and maintenance engineers. Show more

Keywords: Renewal energy sources, solar photovoltaic systems, markov models, cuckoo search algorithm, availability

DOI: 10.3233/JIFS-231940

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2261-2272, 2024

Authors: Elrawy, A. | Smarandache, Florentin | Temraz, Ayat A.

Article Type: Research Article

Abstract: We use a neutrosophic set, instead of an intuitionistic fuzzy because the neutrosophic set is more general, and it allows for independent and partial independent components μ (χ) , γ (χ) , ζ  (χ), while in an intuitionistic fuzzy set, all components are totally dependent. In this article, we present and demonstrate the concept of neutrosophic invariant subgroups. We delve into the exploration of this notion to establish and study the neutrosophic quotient group. Further, we give the concept of a neutrosophic normal subgroup as a novel concept.

Keywords: Neutrosophic set, invariant sub-groups, normal sub-group

DOI: 10.3233/JIFS-232941

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2273-2280, 2024

Authors: Mu, Li

Article Type: Research Article

Abstract: The financial management capability of enterprises, as an important component of their soft power, has a decisive impact on the success or failure of their operations. In the increasingly fierce market competition, enterprises must continuously improve their financial management capabilities in order to ensure efficient operation and achieve better economic benefits. Insufficient financial management capabilities in enterprises can seriously affect the stability of production and operation, hinder the realization of profits, and hinder the long-term development of enterprises. In order to better improve the financial management level of enterprises and promote the standardization of financial management, it is necessary to …use scientific techniques to evaluate the financial management ability of enterprises, so as to accurately grasp the key links in the financial management process of enterprises and implement targeted effective measures. The enterprise financial management capability evaluation is a classical multiple attribute group decision making (MAGDM). In recent years, the MAGDM problem has become an important research field in modern decision science. This paper extends the EDAS technique to the 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). On the basis of the original EDAS technique, 2-tuple linguistic Pythagorean fuzzy number EDAS (2TLPFN-EDAS) technique based on cosine similarity measure (CSM) and Hamming distances is managed for MAGDM. Finally, a case study for enterprise financial management capability evaluation and some comparative analysis with the other techniques show that the new technique proposed in this paper is effective, reasonable and accurate. The main contribution of the paper is summarized: (1) the 2TLPFN-EDAS technique based on CSM and Hamming distances is managed for MAGDM under 2TLPFSs; (2) The entropy is employed to manage the attribute weight based on cosine similarity measure(CSM) and Hamming distances under 2TLPFSs; (3) the 2TLPFN-EDAS technique is employed for enterprise financial management capability evaluation and were compared with some existing techniques; (4) Through the comparison, it is found that 2TLPFN-EDAS technique for enterprise financial management capability evaluation proposed are effective. Show more

Keywords: Multiple attribute group decision making (MAGDM), 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs), EDAS technique, financial management capability

DOI: 10.3233/JIFS-233395

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2281-2296, 2024

Authors: Alkhalifah, Eman S.

Article Type: Research Article

Abstract: A satisfactory graphic design and good-looking 3D models and environments are the backbones of a positive user experience, especially in Augmented Reality (AR) / Virtual Reality (VR) app development. Where these technologies is seen as the an excellent realm of human-computer interaction. The purpose is to fool the viewer by the seamless incorporation of simulated features. Every AR system relies on true interaction and three-dimensional registration to function properly. In this research, we present a strategy for real-world 3D image registration and tracking. The primary foci of this study are the first three stages: initial registrations and matrix acquisitions, road …scene feature extraction, and virtual information registration. At initial registration, a rough virtual plane is estimated onto which the objects will be projected. To this, we propose YoloV3 for transferring features from a virtual to a real-world setting. The projection process concludes with a guess at the camera’s posture matrix. This tech is used in the vehicle’s head-up display to augment reality. The average time required to register a virtual item is 43 seconds. The final step in making augmented reality content is to merge the computer-generated images of virtual objects with real-world photographs in full colour. Our results indicate that this method is effective and precise for 3D photo registration but has the potential to dramatically increase the verisimilitude of AR systems. Show more

Keywords: Graphic designs, human-computer interaction, computer vision, real-scene, AR/VR applications, 3D image registration, and tracking and mapping

DOI: 10.3233/JIFS-233878

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2297-2309, 2024

Authors: Meera, S. | Valarmathi, K.

Article Type: Research Article

Abstract: Load balancing is an element that must exist for a cloud server to function properly. Without it, there would be substantial lag and the server won’t be able to operate as intended. In a Cloud computing (CC) establishing, load balancing is the process of dividing workloads and computer resources. The distribution of assets from a data centre involves many different factors, including load balancing of workloads in cloud environment. To make best use each virtual machine’s (VM) capabilities, load balancing needs to be done in a way that ensures that all VMs have balanced loads. Both overloading and underloading are …examples of load unbalance, and both of these types of load unbalance could be fixed by using techniques created especially for load balancing. The research that has been done on the subject have not attempted to take into account the factors that affect the problem of load unbalancing. Results indicate that the LSTM and DForest-based load balancing approach significantly improves cloud resource utilization, reduces response times, and minimizes the occurrence of overloading or underloading scenarios. To effectively design those programmes, it is essential to first understand the advantages and disadvantages of current methodologies before developing efficient AI-based load balancing programmes. Compared to existing method the proposed method is high accuracy 0.98, KNN accuracy is 0.97, SVM accuracy is 0.99, and DForest accuracy is 0.987. Show more

Keywords: Load balancing, artificial intelligence, machine learning, DForest, Long Short-Term Memory

DOI: 10.3233/JIFS-234054

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2311-2330, 2024

Authors: Yalçın, Selin | Kaya, İhsan

Article Type: Research Article

Abstract: Process capability analysis (PCA) is an important stage to check variability of process by using process capability indices (PCIs) that are very effective statistics to summarize process’ performance. Traditional PCIs can produce some incorrect results and declare misinterpretation about process’ quality if the process includes uncertainties. Additionally, definitions of process’ parameters with exact values is not possible when there are uncertainty caused by measurement errors, sensitivities of measuring instruments or quality engineers’ hesitancies. Although the fuzzy set theory (FST) has been successfully used in PCA, it is the first time to use of Pythagorean fuzzy sets (PFSs) to model uncertainties …of process more than traditional fuzzy sets in PCA. Since the PFSs has two-dimensional configurations by defining membership and non-membership values, they also have a huge ability to model uncertainty that arises from the human’s thinking and hesitancies, and has brought flexibility, sensitivity and reality for PCA. In this paper, specification limits (SLs), mean (μp ), standard deviation (σ ) and target value (T ) main parameters of PCIs have been analyzed by using PFSs and Pythagorean fuzzy process capability indices (PFPCIs) for two well-known PCIs such as ( C ˜ pm ) and ( C ˜ pmk ) have been derived. The Pythagorean ( C ˜ pm ) and ( C ˜ pmk ) indices have also been applied and tested on some numerical examples based on real case applications from manufacturing industry. The obtained results show that PFPCIs provide wider knowledge about capability of process and to obtain more realistic results. As a result of considering all possibilities about the process, it has been concluded that the process is incapable. In light of this information, the results obtained using different fuzzy set extensions for (C pm ) and (C pmk ) indices can be compared. Show more

Keywords: Process capability analysis, process capability indices, flexible parameters Pythagorean fuzzy sets

DOI: 10.3233/JIFS-234683

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2331-2355, 2024