Showing 1 - 20 results of 18,335 for search 'decision three analysis', query time: 0.31s Refine Results
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    The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

    Published 2025-04-01
    “…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. …”
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    Article
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    Decision rule for stratification of patients with chronic heart failure of functional class II and III by E. V. Samoilova, M. A. Fatova, D. R. Mindzaev, I. V. Zhitareva, C. N. Nasonova, I. V. Zhirov, C. N. Tereschenko, A. A. Korotaeva

    Published 2020-04-01
    “…The aim of the study was focused on the development of a decision rule for classifying patients as functional class (FC) II or III of chronic heart failure (CHF) by discriminant analysis with inflammatory markers.Materials and methods. …”
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    Research of Gear Position Decision of Dual Motor Multiple Speed AMT based on BP and Its Optimization Neural Network by Yongqiang Ren, Qisheng Wu, Biao Yuan

    Published 2020-01-01
    “…By using the three-parameter shift law, the algorithm and parameter optimization are carried out to overcome the shortcomings of traditional BP neural network in optimized BP neural network of gear position decision, and then the optimized BP neural network is obtained. …”
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    Winners' strategies: Comprehensive analysis and optimization of 2-point shots in 3x3 basketball using multi-criteria decision support analysis, on the example of two Olympic National Teams. by Michał Nowak, Michał Skalik, Jakub Więckowski, Radosław Ciejpa, Artur Stolarczyk, Łukasz Oleksy

    Published 2025-01-01
    “…The study presents an innovative approach to analyzing and optimizing 2-point shooting strategies in 3x3 basketball, using newly defined parameters and multi-criteria decision analysis (MCDA). …”
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    Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

    Published 2016-10-01
    “…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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    Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

    Published 2016-10-01
    “…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
    Get full text
    Article
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    Cost analysis of managing B3 breast lesions by vacuum excision at Leeds Breast Unit using a decision model by Nisha Sharma, Nahel Yaziji, Joe Selfridge, Gurdeep Singh Sagoo

    Published 2021-12-01
    “…Objective To develop an economic model to evaluate the cost of using vacuum-assisted excision (VAE) for managing B3 breast lesions.Design A decision tree of managing B3 breast lesions was developed to compare the costs of VAE with diagnostic excision (DE) from the perspective of the healthcare provider. …”
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    Compressive performance of 3D-printed lightweight structures: Infill pattern optimization via Multiple-Criteria Decision Analysis method by Cristina Vălean, Emanoil Linul, Dipen Kumar Rajak

    Published 2025-03-01
    “…Additionally, an optimization study of the infill pattern (IP) was conducted using the Multiple-Criteria Decision Analysis (MCDA) method. The study showed that the compressive behavior of the examined parts is similar to cellular materials (e.g., foams) and varies based on the IP, exhibiting brittle, quasi-brittle, or ductile fracture modes. …”
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    Visual information processing characteristics of tactical decisions of soccer players in 3V3 offense scenarios by Tianyu Gao, Peng Shi, Duoyao Zhang, Guodong Wang, Jianming Zhang

    Published 2025-07-01
    “…Independent samples t-tests were conducted for intergroup comparison analysis on SPSS 25.0 software. Results The tactical decision-making agility and rationality of the expert group were significantly higher than those of the novice group (P < 0.01). …”
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    Neutrosophy, Causal AI, and Web3: combo for complex decision-making by Florentin Smarandache, Ranulfo P. Barbosa, Maikel Y. Leyva Vázquez, Joaquin B. Monge

    Published 2025-05-01
    “…Special attention is given to applications in Web3 environments, where decentralized governance, smart contracts, and autonomous decision-making require high levels of reliability and trust. …”
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