Int. J. Knowl. Based Intell. Eng. Syst.最新文献_第2页

Multilayer fuzzy cognitive maps for the management of the professional sports product based on the "par conditio" principle 基于“同等条件”原则的职业体育产品管理的多层模糊认知图

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-09-29 DOI: 10.3233/kes220011

Yolmer Romero, José Aguilar, Oswaldo Terán

{"title":"Multilayer fuzzy cognitive maps for the management of the professional sports product based on the \"par conditio\" principle","authors":"Yolmer Romero, José Aguilar, Oswaldo Terán","doi":"10.3233/kes220011","DOIUrl":"https://doi.org/10.3233/kes220011","url":null,"abstract":"Multilayer Fuzzy Cognitive Maps (MFCM) represents an approach for analyzing situations, which allows the simulation, inference, theorem proving of tendencies, and verification of theories, among other things. This paper reviews the promise of this method in a novelty case study of management of professional sports clubs. Professional sports clubs have the possibility of making their management profitable through the proper management of their commercial product portfolio. This possibility is conditioned by the adequate configuration of each component of the commercial product portfolio, namely: Brand licensing, sponsorship, television and media rights, sporting and training rights, and hospitality. Each component of the commercial portfolio must maximize its attractiveness and desirability for each target customer segment. For these purposes, tools that contribute to manage the sports products will be vital to guarantee their commercial success. This article proposes a model based on MFCMs for supporting the management of products in professional sports – an intelligent decision-making system –, conceptually based on the “par conditio” principle. The model considers different aspects related to the “par conditio” principle, such as the socioeconomic environment where the sports activity is carried out, the legal bases of the professional competence, and other sporting aspects (stadium, fans, etc.), which are organized in layers, to analyze the behavior of the different components of the commercial portfolio. It is tested for the two most common sports in Latin America, football and baseball, considering countries of this region where these sports have good economic performance, both to analyze and understand the current situation of the sports products, and infer more appropriate configurations. Several specific case studies are carried out with encouraging results. The paper successfully shows the potentialities of MFCM for diverse purposes, particularly those named above.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124966318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-09-29 DOI: 10.3233/kes220013

Cheongrok Lee, Kyoungok Kim

{"title":"An improved similarity measure for collaborative filtering-based recommendation system","authors":"Cheongrok Lee, Kyoungok Kim","doi":"10.3233/kes220013","DOIUrl":"https://doi.org/10.3233/kes220013","url":null,"abstract":"Collaborative filtering (CF), a representative algorithm of recommendation systems, is a method of using information of the neighbors of active user. The main idea of CF is that users who agreed in the ratings of certain items are likely to agree again in new items. The degree to which the two users’ tendencies in the ratings of the co-rated items are consistent is measured using a similarity measure. Therefore, the similarity measure in CF plays a key role in the extraction of the representative neighbors. Studies on the improvement of similarity indicators for selecting representative neighbors are still ongoing. Recently, a new similarity measure, named OS, was proposed to enhance the recommendation performance by utilizing mathematical equations, such as the integral equation, system of linear differential equations, and non-linear systems. This study aims to understand the limitations of OS and overcome these limitations using the proposed method. In the proposed method, a sigmoid function was used to reflect preferences, such as the positive or negative sentiment of user ratings. In addition, to consider the absolute score difference, some of the formulas were modified, and finally, the performance improvement of the recommendation system was proved through experiments.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128477019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel deep learning architectures for haemodialysis time series classification 血液透析时间序列分类的新型深度学习架构

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-09-29 DOI: 10.3233/kes220010

G. Leonardi, S. Montani, Manuel Striani

{"title":"Novel deep learning architectures for haemodialysis time series classification","authors":"G. Leonardi, S. Montani, Manuel Striani","doi":"10.3233/kes220010","DOIUrl":"https://doi.org/10.3233/kes220010","url":null,"abstract":"Classifying haemodialysis sessions, on the basis of the evolution of specific clinical variables over time, allows the physician to identify patients that are being treated inefficiently, and that may need additional monitoring or corrective interventions. In this paper, we propose a deep learning approach to clinical time series classification, in the haemodialysis domain. In particular, we have defined two novel architectures, able to take advantage of the strengths of Convolutional Neural Networks and of Recurrent Networks. The novel architectures we introduced and tested outperformed classical mathematical classification techniques, as well as simpler deep learning approaches. In particular, combining Recurrent Networks with convolutional structures in different ways, allowed us to obtain accuracies above 81%, coupled with high values of the Matthews Correlation Coefficient (MCC), a parameter particularly suitable to assess the quality of classification when dealing with unbalanced classes-as it was our case. In the future we will test an extension of the approach to additional monitoring time series, aiming at an overall optimization of patient care.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

TOPSIS Model for evaluating the corporate environmental performance under intuitionistic fuzzy environment 直觉模糊环境下企业环境绩效评价的TOPSIS模型

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-09-29 DOI: 10.3233/kes-220014

Qing Liu

{"title":"TOPSIS Model for evaluating the corporate environmental performance under intuitionistic fuzzy environment","authors":"Qing Liu","doi":"10.3233/kes-220014","DOIUrl":"https://doi.org/10.3233/kes-220014","url":null,"abstract":"With global resource waste and environmental pollution becoming increasingly serious, corporate environmental performance (CEP) has received much attention from researchers over the past decade. As an important part of economic development, enterprises also pay increasingly attention to environmental protection and pollution control. CEP is regarded as the result of corporate environmental management. Assessing CEP can not only make enterprises focus on the environmental protection and management, but also promote sustainable social development. And it is frequently viewed as a multi-attribute group decision-making (MAGDM) issue. Thus, a novel MAGDM method is needed to tackle it. Depending on the conventional TOPSIS (Technique for Order Preferenceby Similarity to Ideal Solution) method and intuitionistic fuzzy sets (IFSs), this essay design a novel intuitive distance based IF-TOPSIS method to assess CEP. First of all, a related literature review is conducted. What’s more, some necessary theories related to IFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria is decided objectively by utilizing CRITIC method. Afterwards, relying on novel distance measures between IFNs, the conventional TOPSIS method is extended to the intuitionistic fuzzy environment to calculate assessment score of each enterprise. Eventually, an application about CEP evaluation and some comparative analysis have been given to demonstrate the superiority of the designed method. The results illustrate that the designed framework is useful for assessing CEP.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Marvellous significance performance analysis of PQ events prediction and classification PQ事件预测与分类的显著性性能分析

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-06-08 DOI: 10.3233/kes-220008

B. Vighneshwari, N. Jayakumar, P. Sandhya

{"title":"Marvellous significance performance analysis of PQ events prediction and classification","authors":"B. Vighneshwari, N. Jayakumar, P. Sandhya","doi":"10.3233/kes-220008","DOIUrl":"https://doi.org/10.3233/kes-220008","url":null,"abstract":"This paper compares various significant research techniques concerning the power quality (PQ) events prediction and classification system presented by the authors previously and examines its viability scale as far as the research gap. This paper examines some of the frequently exercised PQ classification techniques named as Feedforward Neural Network (FNN), Sequential Ant Lion Optimizer and Recurrent Neural Network (SALRNN), dual-layer Feedforward network and Short-Time Fourier Transform (STFT) from the most significant literature in order to have more insights of the techniques. The research work has presented a simple framework that retains a balance between higher accuracy in the detection of disturbances as well as also maintains an effective computational performance for a large number of the power signals. The principle aim of the paper is research and comparative analysis of above-mentioned algorithms for searching the best impressive technique to detect and classify the PQ events. The simulation results of this research can be reasoned that the SALRNN technique performed very well to detect and classify the PQ disturbances when compared with the other two techniques such as FNN and STFT. The SALRNN technique is more optimal than the other existing techniques in terms of RMSE, MAPE, MBE, sensitivity, specificity and consumption time is analyzed.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133556116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linear Antenna Array synthesis using Rao and Jaya algorithms 基于Rao和Jaya算法的线性天线阵列合成

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-06-08 DOI: 10.3233/kes-220001

Nagavalli Vegesna, G. Yamuna, T. S. Kumar

引用次数: 1

Optimization driven deep belief network using chronological monarch butterfly optimization for iris recognition at-a-distance 基于时序帝王蝶优化的深度信念网络在远距离虹膜识别中的应用

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-06-08 DOI: 10.3233/kes-220003

Swati D. Shirke, C. Rajabhushnam

{"title":"Optimization driven deep belief network using chronological monarch butterfly optimization for iris recognition at-a-distance","authors":"Swati D. Shirke, C. Rajabhushnam","doi":"10.3233/kes-220003","DOIUrl":"https://doi.org/10.3233/kes-220003","url":null,"abstract":"Identification of eye considering biometric traits is an essential field to recognize persons. Biometrics using iris images seems to be an effective identification of individuals. Various Iris Recognition at-Distance (IAAD) systems are used for extracting features of iris and improve image quality using the biometric model. Even though the quality of the iris is better, accuracy is a challenging question for the research community. Thus, an effective IAAD, namely Chronological Monarch Butterfly Optimization-Deep Belief Network (Chronological MBO-DBN) is devised to detect iris. The detection of iris using DBN is trained with Chronological MBO, which is the integration of Chronological theory and Monarch Butterfly Optimization (MBO). The features of iris are extracted with ScatT-Loop descriptor and Local Gradient Pattern (LGP) and subjected to Chronological MBO-DBN for the recognition of iris which improved accuracy. The implementation of proposed Chronological MBO-based DBN is performed using the dataset, CASIA Iris, and efficiency is evaluated by the accuracy of 96.078%, False Rejection Rate (FRR) of 0.4745% False Acceptance Rate (FAR) of 0.4847%, and F-Measure of 98.658%.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121680089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Algorithms for multiple attribute group decision making with intuitionistic 2-tuple linguistic information and its application 具有直观二元组语言信息的多属性群决策算法及其应用

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-06-08 DOI: 10.3233/kes-220005

Xian-Ping Jiang

引用次数: 1

Evaluation and research on the logistics efficiency of agricultural products with intuitionistic fuzzy information 基于直觉模糊信息的农产品物流效率评价与研究

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-06-08 DOI: 10.3233/kes-220006

Qing Liu

引用次数: 1

Analysis of deep learning frameworks for object detection in motion 运动中物体检测的深度学习框架分析

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-06-08 DOI: 10.3233/kes-220002

G. Vaishnavi, Shriya Varada Ramesh, Sanjana Satheesh, Ashwini Kodipalli, Kusuma Thimmaraju

引用次数: 10