Showing 1,081 - 1,100 results of 6,101 for search '"preferences"', query time: 0.07s Refine Results
  1. 1081

    Novel MCDM Methods and Similarity Measures for Extended Fuzzy Parameterized Possibility Fuzzy Soft Information with Their Applications by Ghous Ali

    Published 2023-01-01
    “…Complicated uncertainties arising in the multicriteria decision-making (MCDM) problems that show distinct possible satisfaction of the subjects to favorable and equally unfavorable parameters with varying preferences require reliable decision-making under comprehensive mathematical tools. …”
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    Article
  2. 1082

    Provably secure rational delegation computation protocol by Youliang TIAN, Qiuxian LI, Duo ZHANG, Linjie WANG

    Published 2019-07-01
    “…A provably secure rational delegation computation scheme was proposed to solve the requirement of security issues in rational delegate computation.Firstly,game theory was introduced into delegation computation and according to rational participants behavior preferences analysis,a rational delegate computing game model was designed.Secondly,according to the equilibrium demand of game model and the security requirement of rational delegation computation,a rational security model was established.Thirdly,combining Yao's garbled circuit with its advantages of re-randomization,as well as full homomorphic encryption technology,the rational delegation computation protocol was constructed.And the combination of strategies in the protocol could reach the Nash equilibrium state.Finally,the security of the protocol and the privacy of the input and output were proved according to the rational security model,and the performance analysis shows the validity of the protocol.The proposed rational delegation computing protocol not only satisfies the traditional security,but also considers the behavioral preference of participants,which is more in line with the delegationcomputing mode under the big data environment.…”
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    Article
  3. 1083

    The power of health economics and outcomes research (HEOR) in making decisions that matter by Oscar Herrera Restrepo

    Published 2021-12-01
    “…Balancing out clinical performance, epidemiological implications, burden of disease, economic value, and patient preferences, among other factors, is in itself a challenging endeavor. …”
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    Article
  4. 1084

    Cyberviolences de genre. Définir et rendre compte du cybersexisme dans les pratiques numériques adolescentes by Sigolène Couchot-Schiex, Gabrielle Richard

    Published 2021-12-01
    “…Analyzing both quantitative and qualitative, it will discuss the existence of polymorphous and ordinary instances of cybersexism, targeting both girls and boys whose behaviors or preferences are considered gender atypical. All in all, this paper will relate the genesis of the concept of cybersexism, which the authors suggest may best qualify the episodes of violence that are anchored in a gender-normative order.…”
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    Article
  5. 1085

    STUDY OF SUFI MAQĀMĀT ON THE INDONESIAN TAFSIR WEBSITE: A STUDY OF THE TANWIR.ID AND TAFSIRALQURAN.ID WEBSITES by Dalilun Nafilin

    Published 2023-12-01
    “…These findings provide valuable insights for web interpreters in selecting sources that suit their needs and preferences.…”
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    Article
  6. 1086

    Shifting from Religious Populism to Authoritarian Populism: Two Decades of Identity Politics Dynamics in Indonesia by Arina Rohmatul Hidayah, Atwar Bajari, Dadang Rahmat Hidayat, Eni Maryani

    Published 2025-01-01
    “…Rather, these movements are leveraged as political tools for the executive group in determining dominant issues among the public to increase voter preferences and bring economic benefits to militant Islamic groups. …”
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    Article
  7. 1087

    Vertical handoff research based on cognitive self-selection decision tree by Cun-qun FAN, Shang-guang WANG, Qi-bo SUN, Hua ZOU, Fang-chun YANG

    Published 2013-11-01
    “…However, in the vertical handoff process, the preferences of different user and the unsta-ble network status after handoff cannot meet the switching requirement of users. …”
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    Article
  8. 1088

    RADIO FREQUENCY DATA IDENTIFICATION TECHNOLOGY: POTENTIAL FOR USE IN FASHION INDUSTRY SUPPLY CHAINS by N. Yu. Barkova, O. A. Borodina

    Published 2020-09-01
    “…Such features include a high product range and its rapid turnover, rapid changes in purchasing preferences, and the need to respond quickly to changes in consumer demand. …”
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    Article
  9. 1089

    A Multiperiod Equilibrium Pricing Model by Minsuk Kwak, Traian A. Pirvu, Huayue Zhang

    Published 2014-01-01
    “…The price of the contingent claim is priced in equilibrium by optimal strategies of representative agent and market clearing condition. The risk preferences are of exponential type with a stochastic coefficient of risk aversion. …”
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  10. 1090

    Developing a Model for the University Course Timetabling Problem: A Case Study by Mozhgan Mokhtari, Majid Vaziri Sarashk, Milad Asadpour, Nadia Saeidi, Omid Boyer

    Published 2021-01-01
    “…Over recent years, timetable programming in academic settings has become particularly challenging due to such factors as the growing number of students, the variety of lectures, the inadequacy of educational facilities in some areas, and the incorporation of teachers and students’ preferences into the schedule. Many researchers, therefore, have been formulating the problem of timetabling lectures using different methods. …”
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    Article
  11. 1091

    ELECTRE I Based Relevance Decision-Makers Feedback to the Location Selection of Distribution Centers by Maroi Agrebi, Mourad Abed, Mohamed Nazih Omri

    Published 2017-01-01
    “…The strength of the proposed method is to incorporate decision-makers’ preferences into the decision-making process. In addition, the proposed method considers both quantitative and qualitative criteria. …”
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  12. 1092

    Grey Situation Group Decision-Making Method Based on Prospect Theory by Na Zhang, Zhigeng Fang, Xiaqing Liu

    Published 2014-01-01
    “…This paper puts forward a grey situation group decision-making method on the basis of prospect theory, in view of the grey situation group decision-making problems that decisions are often made by multiple decision experts and those experts have risk preferences. The method takes the positive and negative ideal situation distance as reference points, defines positive and negative prospect value function, and introduces decision experts’ risk preference into grey situation decision-making to make the final decision be more in line with decision experts’ psychological behavior. …”
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  13. 1093

    development of University Innovative Potential as a Factor Contributing to the Growth of Labor Satisfaction of Young Teachers by N. I. Prokopov, S. N. Antonyuk, S. Yu. Ivanov, D. V. Ivanova

    Published 2018-07-01
    “…In the course of studying the respondents’ motivational preferences and working conditions there were revealed the peculiarities of young teachers’ adaptation in the educational process. …”
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    Article
  14. 1094

    Research on the graphical convolution neural network based benefits recommendation system strategy by Tao TAO, Zhen LI, Jibin WANG, Haiyong XU, Yong JIANG, Zhuo CEHN, Runbo ZHANG, Qingyuan HU

    Published 2023-08-01
    “…The recommendation system is one of the important methods to realize the intelligent recommendation of massive Internet benefit products.In order to improve the accuracy of personalized benefits recommendation, a deep learning recommendation system based on graph computing method was proposed.Considering the heterogeneity of multi-source data, a graph representation technology based on deep learning was carried out to construct the multiple relationship graph between users and benefit products.The multiple relationship graph extracted the information of graph structure, and model the heterogeneous graphs for the multi-dimensional features of users and the multiple interaction modes between rights and interests products, which effectively aggregated various interactive information and the multiple feature.A heterogeneous graph convolutional neural network was built to learn the high-dimensional feature vectors for various nodes, and excavate users' latent preferences to provide a recommendation link with strong interpretability, which greatly improved the recommendation success rate and generating economic value.…”
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  15. 1095

    Enhancing Tablet Product Experience on AliExpress by Mukhtar Adan Isak, Pringgo Widyo Laksono, Eko Pujiyanto

    Published 2024-09-01
    “…These findings provide actionable guidance for businesses and manufacturers to optimize tablet quality, logistics, and marketing strategies to meet the needs and preferences of their target audience better. …”
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    Article
  16. 1096

    Faith, Climate, and Energy Frugality: Unravelling the Nexus in European Perspectives by Pablo García-García

    Published 2024-08-01
    “… This study explores the relationship between religious beliefs, perceptions of climate change, and preferences for energy frugality in Europe using data from the November 2023 European Social Survey across 22 countries. …”
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  17. 1097

    TAGAN: an academic paper adversarial recommendation algorithm incorporating fine-grained semantic features by Jinyang SUN, Baisong LIU, Hao REN, Jiangbo QIAN

    Published 2021-08-01
    “…Academic paper recommendation aims to provide users with personalized paper resources.Collaborative filtering methods face the problems of highly sparse data and lack of negative samples.Considering the above challenges, an academic paper recommendation algorithm TAGAN(title and abstract GAN)which incorporated fine-grained semantic features was presented.Firstly, based on titles and abstracts provide abundant semantic features, convolutional neural networks (CNN) was used to extract the global features of the titles, a two-layer long and short-term memory network (LSTM) was built to model abstract words separately.At the same time, the attention mechanism was proposed to associate the title and the abstract semantically.Then, the semantic features of the paper were integrated into the recommendation framework based on generative adversarial network (GAN).The generative model will fit the user’s interest preferences and can effectively replace the negative sampling process.Finally,through the experimental comparison on the public dataset, TAGAN is better than the baseline models in all indicators, which verifies the effectiveness of TAGAN.…”
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    Article
  18. 1098

    Research on E-Commerce Customer Feature Extraction Question Answering System Based on Artificial Intelligence Semantic Analysis by Wenbo Niu

    Published 2022-01-01
    “…In order to analyze e-commerce customer behavior and preference, a migration identification method of consumer behavior tendency is proposed. …”
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  19. 1099

    Gari, a Cassava (Manihot esculenta Crantz) Derived Product: Review on Its Quality and Their Determinants by Franklin Ngoualem Kégah, Robert Ndjouenkeu

    Published 2023-01-01
    “…The present review aimed thus at achieving this goal through a review of up to now knowledge on (i) end-users preferences for cassava and Gari in SSA; (ii) the quality (nutritional and microbiological) of Gari found on market stalls; (iii) processing and raw material determinant of this quality; (iv) research and development trials which have been done to improve the nutritional quality of Gari. …”
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  20. 1100

    Visual Perception of Organic and Polygonal Shapes in the Graphic Communication Processes by Robert Geček, Damir Vusić

    Published 2025-01-01
    “…A test questionnaire was developed to gauge respondents' preferences for different shapes. The study involved 63 participants whose visual attention to organic and polygonal shapes was measured using an eye-tracker over an 8-second interval. …”
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