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Feng Zhang [12]Fengrui Zhang [11]Fengqing Zhang [3]Fengyang Zhang [2]
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  1.  86
    Activating, Seeking, and Creating Common Ground: A Socio-Cognitive Approach.Istvan Kecskes & Fenghui Zhang - 2009 - Pragmatics and Cognition 17 (2):331-355.
    This paper argues that current pragmatic theories fail to describe common ground in its complexity because they usually retain a communication-as-transfer-between-minds view of language, and disregard the fact that disagreement and egocentrism of speaker-hearers are as fundamental parts of communication as agreement and cooperation. On the other hand, current cognitive research has overestimated the egocentric behavior of the dyads and argued for the dynamic emergent property of common ground while devaluing the overall significance of cooperation in the process of verbal (...)
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  2.  15
    Activating, Seeking, and Creating Common Ground: A Socio-Cognitive Approach.Istvan Kecskes & Fenghui Zhang - 2009 - Pragmatics and Cognition 17 (2):331-355.
    This paper argues that current pragmatic theories fail to describe common ground in its complexity because they usually retain a communication-as-transfer-between-minds view of language, and disregard the fact that disagreement and egocentrism of speaker-hearers are as fundamental parts of communication as agreement and cooperation. On the other hand, current cognitive research has overestimated the egocentric behavior of the dyads and argued for the dynamic emergent property of common ground while devaluing the overall significance of cooperation in the process of verbal (...)
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  3.  51
    Redefining Neuromarketing as an Integrated Science of Influence.Hans C. Breiter, Martin Block, Anne J. Blood, Bobby Calder, Laura Chamberlain, Nick Lee, Sherri Livengood, Frank J. Mulhern, Kalyan Raman, Don Schultz, Daniel B. Stern, Vijay Viswanathan & Fengqing Zhang - 2014 - Frontiers in Human Neuroscience 8.
  4.  5
    Acute Stress Shapes Creative Cognition in Trait Anxiety.Haijun Duan, Xuewei Wang, Zijuan Wang, Wenlong Xue, Yuecui Kan, Weiping Hu & Fengqing Zhang - 2019 - Frontiers in Psychology 10.
  5. A Difference of Past Self-Evaluation Between College Students With Low and High Socioeconomic Status: Evidence From Event-Related Potentials.Xinlei Zang, Kaige Jin & Feng Zhang - 2021 - Frontiers in Psychology 12.
    Socioeconomic status refers to the social position or class according to their material and non-material social resources. We conducted a study with 60 college students to explore whether SES affects past self-evaluation and used event-related potentials in a self-reference task that required participants to judge whether the trait adjectives describing themselves 5 years ago were appropriate for them. Behavioral data showed that individuals’ positive past self-evaluations were significantly higher than individuals’ negative past self-evaluations, regardless of high or low SES. Individuals (...)
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  6.  11
    Coupling Immunity and Programmed Cell Suicide in Prokaryotes: Life-or-Death Choices.Eugene V. Koonin & Feng Zhang - 2017 - Bioessays 39 (1):e201600186.
    Host‐pathogen arms race is a universal, central aspect of the evolution of life. Most organisms evolved several distinct yet interacting strategies of anti‐pathogen defense including resistance to parasite invasion, innate and adaptive immunity, and programmed cell death (PCD). The PCD is the means of last resort, a suicidal response to infection that is activated when resistance and immunity fail. An infected cell faces a decision between active defense and altruistic suicide or dormancy induction, depending on whether immunity is “deemed” capable (...)
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  7.  14
    Fault Tree Interval Analysis of Complex Systems Based on Universal Grey Operation.Feng Zhang, Shiwang Tan, Leilei Zhang, Yameng Wang & Yang Gao - 2019 - Complexity 2019:1-8.
    The objective of this study is to propose a new operation method based on the universal grey number to overcome the shortcomings of typical interval operation in solving system fault trees. First, the failure probability ranges of the bottom events are described according to the conversion rules between the interval number and universal grey number. A more accurate system reliability calculation is then obtained based on the logical relationship between the AND gates and OR gates of a fault tree and (...)
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  8.  12
    A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation.Qiang Hua, Chunru Dong & Feng Zhang - 2018 - Complexity 2018:1-10.
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  9.  6
    Green Credit Policy and Corporate Stock Price Crash Risk: Evidence From China.Wei Zhang, Yun Liu, Fengyun Zhang & Huan Dou - 2022 - Frontiers in Psychology 13.
    Using the promulgation of Green Credit Guidelines in China as the research setting, this paper exploits a quasi-natural experiment to examine the impact of green credit policy on the stock price crash risk of heavy-polluting firms. The results show that green credit policy significantly increases the risk of stock price crash of heavy-polluting firms. Such impact is transmitted through increased financial constraints and reduced information transparency. In addition, we find that the impact of green credit policy on the stock price (...)
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  10.  14
    Does Gender Matter in the Relationship Between Anxiety and Decision-Making?Fenghua Zhang, Leifeng Xiao & Ruolei Gu - 2017 - Frontiers in Psychology 8.
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  11.  2
    Artificial Intelligence-Based Human–Computer Interaction Technology Applied in Consumer Behavior Analysis and Experiential Education.Yanmin Li, Ziqi Zhong, Fengrui Zhang & Xinjie Zhao - 2022 - Frontiers in Psychology 13.
    In the course of consumer behavior, it is necessary to study the relationship between the characteristics of psychological activities and the laws of behavior when consumers acquire and use products or services. With the development of the Internet and mobile terminals, electronic commerce has become an important form of consumption for people. In order to conduct experiential education in E-commerce combined with consumer behavior, courses to understand consumer satisfaction. From the perspective of E-commerce companies, this study proposes to use artificial (...)
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  12.  2
    CNN-LSTM Deep Learning Model for Sonic Well Logs Generation for Brittleness Evaluation.Fengjiao Zhang, Shaogui Deng, Shengli Wang & Hong Sun - forthcoming - Interpretation:1-51.
    Brittleness index, usually calculated by compressional and shear wave velocities, is an important parameter used to optimize the sweet pots of shale oil. The empirical relationships or artificial intelligence networks can predict sonic logs based on conventional logging data, but the accuracy is limited by the formation types and properties, such as shale sandstone interbedded. Therefore, we propose a hybrid CNN-LSTM deep learning model that combines convolutional neural network and long short-term memory for the prediction of the compressional and shear (...)
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  13. Impact of Virtual Imaging Technology on Film and Television Production Education of College Students Based on Deep Learning and Internet of Things.Chengye Du, Chijiang Yu, Tingting Wang & Fengrui Zhang - 2022 - Frontiers in Psychology 12.
    More and more schools begin to design simulation technology based on virtual imaging technology and virtual reality in their course contents. In particular, among these technical courses, there is a need to first strengthen the Film and Television Production education in higher institutions. This article aims to study the impact of VRT, VR, and Internet of things technology on FTP courses and audience psychology in higher institutions under the era of intelligent multimedia. How to use emerging VR technology to promote (...)
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  14. Talent Cultivation of New Ventures by Seasonal Autoregressive Integrated Moving Average Back Propagation Under Deep Learning.Fanshen Han, Chenxi Zhang, Delong Zhu & Fengrui Zhang - 2022 - Frontiers in Psychology 13.
    This study combines the discovery methods and training of innovative talents, China’s requirements for improving talent training capabilities, and analyses the relationship between the number of professional enrollments in colleges and universities and the demand for skills in specific places. The research learns the characteristics and training models of innovative talents, deep learning, neural networks, and related concepts of the seasonal difference Autoregressive Moving Average Model. These concepts are used to propose seasonal autoregressive integrated moving average back propagation. Firstly, the (...)
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  15. Exploration and Strategy Analysis of Mental Health Education for Students in Sports Majors in the Era of Artificial Intelligence.Liang Liang, Yong Zheng, Qiluo Ge & Fengrui Zhang - 2022 - Frontiers in Psychology 12.
    This study aims to explore new educational strategies suitable for the mental health education of college students. Big data and artificial intelligence are combined to evaluate the mental health education of college students in sports majors. First, the research status on the mental health education of college students is introduced. The internet of things on mental health education, a structure based on big data and convolutional neural network, is constructed. Next, the survey design and questionnaire survey are carried out. Finally, (...)
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  16. Innovation of the Education of College Students' Outlook on Life Following Positive Psychology Under the Theory of Educational Psychology.Xiao Long, Peiyao Chen, Qingquan Liu, Fengrui Zhang & Chao Lu - 2022 - Frontiers in Psychology 12.
    The study expects to find a better way to improve the teaching quality of the education of college students' outlook on life, based on the theory of educational psychology. First, the relevant theories of positive psychology are introduced and expounded, and the importance of the education of college students' outlook on life is analyzed. Second, the current situations of college students' outlook on life and the education of their outlook on life are investigated through a questionnaire survey, and the problems (...)
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  17. Current Situation and Strategy Formulation of College Sports Psychology Teaching Following Adaptive Learning and Deep Learning Under Information Education.Chuan Mou, Yi Tian, Fengrui Zhang & Chao Zhu - 2022 - Frontiers in Psychology 12.
    This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education. The informatization in physical education, teaching methods, and teaching processes make psychological education more scientific and efficient. First, the relevant theories of adaptive learning and deep learning are introduced, and an adaptive learning analysis model is implemented. Second, based on the deep learning automatic encoder, college students’ sports psychology is investigated and the (...)
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  18. Psychological and Emotional Recognition of Preschool Children Using Artificial Neural Network.Zhangxue Rao, Jihui Wu, Fengrui Zhang & Zhouyu Tian - 2022 - Frontiers in Psychology 12.
    The artificial neural network is employed to study children’s psychological emotion recognition to fully reflect the psychological status of preschool children and promote the healthy growth of preschool children. Specifically, the ANN model is used to construct the human physiological signal measurement platform and emotion recognition platform to measure the human physiological signals in different psychological and emotional states. Finally, the parameter values are analyzed on the emotion recognition platform to identify the children’s psychological and emotional states accurately. The experimental (...)
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  19. Virtual Reality-Integrated Immersion-Based Teaching to English Language Learning Outcome.Yu Xie, Yang Liu, Fengrui Zhang & Ping Zhou - 2022 - Frontiers in Psychology 12.
    Globalization and informatization are reshaping human life and social behaviors. The purpose is to explore the worldwide strategies to cultivate international talents with a global vision. As a global language with the largest population, English, and especially its learning effect, have always been the major concerns of scholars and educators. This work innovatively studies the combination of immersion-based English teaching with virtual reality technology. Then, based on the experimental design mode, 106 students from a Chinese school were selected for a (...)
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  20. Analysis of Literary Situation and Reconstruction of the Writing Subject in Literary Education by Educational Psychology.Gaonan Xu, Zhaoming Li, Fengrui Zhang & Bojing Liu - 2022 - Frontiers in Psychology 12.
    Educational psychology focuses on the laws of change in the knowledge, skills, and individual psychology of the educatees in the process of education and teaching. Writing teaching is a key and difficult point in literature teaching. Nowadays, it is common for students to be afraid and tired of writing in school literature education. In view of these problems, the present work optimizes the teaching mode of writing from the perspective of reconstructing the writing subject. Through literature research and interdisciplinary analysis, (...)
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  21. Classification and Recognition of Fish Farming by Extraction New Features to Control the Economic Aquatic Product.Yizhuo Zhang, Fengwei Zhang, Jinxiang Cheng & Huan Zhao - 2021 - Complexity 2021:1-9.
    With the rapid emergence of the technology of deep learning, it was successfully used in different fields such as the aquatic product. New opportunities in addition to challenges can be created according to this change for helping data processing in the smart fish farm. This study focuses on deep learning applications and how to support different activities in aquatic like identification of the fish, species classification, feeding decision, behavior analysis, estimation size, and prediction of water quality. Power and performance of (...)
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  22. Convolutional Neural Network Long Short-Term Memory Deep Learning Model for Sonic Well Log Generation for Brittleness Evaluation.Fengjiao Zhang, Shaogui Deng, Shengli Wang & Hong Sun - 2022 - Interpretation 10 (2):T367-T378.
    Brittleness index, usually calculated by P- and S-wave velocities, is an important parameter used to optimize the sweet spots of shale oil. Empirical relationships or artificial intelligence networks can predict sonic logs based on conventional logging data, but accuracy is limited by the formation types and properties, such as shale sandstone interbeds. Therefore, we propose a hybrid convolutional neural network long short-term memory deep learning model for the prediction of compressional and shear traveltimes. The new model can extract nonlinear features (...)
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  23. Development and Validation of the Win-Win Scale.Shan Zhang, Xinlei Zang & Feng Zhang - 2021 - Frontiers in Psychology 12.
    Accumulating evidence has shown that win-win is necessary for both individuals and the society. This research, including two studies, aimed to develop and validate a measurement of the win-win scale. In the first study, we screened the items by item analysis and extracted common factors using exploratory factor analysis, thus determining a total of 25 items in the initial scale consisted of five dimensions including integrity, advancement, altruism, harmoniousness, and coordination. In the second study, we used first- and second-order confirmatory (...)
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  24. Psychic Income Associated With Shanghai Tennis Masters and Residents’ Attitude.Fengyun Zhang, Dongfeng Liu, Daniel Plumley & Mengyan Chai - 2022 - Frontiers in Psychology 12.
    Using Shanghai Tennis Masters as an example, this study seeks to explore the psychic income associated with major sports events hosting and whether the psychic income would predict the attitudes of local residents toward events hosting. In addition, the moderating effect of sport involvement on the relationship between psychic income and attitude is also tested. In this study, a questionnaire survey is adopted. The structured questionnaire was developed based on 4 parts, including the demographics of the residents, involvement in the (...)
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  25. The Linguistic Approach in the Study of Modernity: Political Interpretation on the Methodology of Koselleck’s Begriffsgeshichte.Fengyang Zhang - 2020 - Cultura 17 (2):179-190.
    : The study of German Begriffsgeschichte by scholars such as Koselleck focuses on historiography, but its basic hypotheses are highly philosophical. One of its tasks is to explore modernity from the perspective of language, hence can be understood as the “linguistic approach” in the study of modernity. As for the origin of the theory, the conceptual evolution of Verzeitlichung, Demokratisierung, Politisierung, and Ideologisierbarkeit proposed by Koselleck was not only largely affected by Gadamer’s hermeneutics and Heidegger’s existential phenomenology but also deeply (...)
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  26. Application of Educational Psychology-Based Dance Therapy in College Students’ Life Education.Haiyan Zhong, Chunhui Zhao, Fengrui Zhang & Ruizhi Zhang - 2022 - Frontiers in Psychology 13.
    The purpose is to strengthen the life education of contemporary college students and give better play to the vital role of life education in preventing college students’ mental diseases. Specifically, it discusses the role of dance therapy in College Students’ Life Education. Firstly, based on educational psychology, this manuscript analyzes the relevant theoretical concepts of EP and life education and discusses the importance of life education to contemporary college students. Secondly, following a Questionnaire Survey and using deep learning Convolutional Neural (...)
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  27. Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model.Dawei Zu, Feng Zhang, Qiulan Wu, Wenyan Wang, Zimeng Yang & Zhengpeng Hu - 2022 - Complexity 2022:1-9.
    Lentinus edodes sticks are susceptible to mold infection during the culture process, and manual identification of infected sticks is heavy, untimely, and inaccurate. Aiming to solve this problem, this paper proposes a method for identifying infected Lentinus edodes sticks based on improved ResNeXt-50 deep transfer learning. First, a dataset of Lentinus edodes stick diseases was constructed. Second, based on the ResNeXt-50 model and the pretraining weight of the ImageNet dataset, the influence of pretraining weight parameters on recognition accuracy was studied. (...)
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  28.  5
    Action Generalization Across Group Members: Action Efficiency Matters.Jipeng Duan, Yingdong Jiang, Yunfeng He, Feng Zhang, Mowei Shen & Jun Yin - 2021 - Cognitive Science 45 (4):e12957.
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  29.  1
    Exploring Quality Evaluation of Innovation and Entrepreneurship Education in Higher Institutions Using Deep Learning Approach and Fuzzy Fault Tree Analysis.Changlin Wang, Puyang Zheng, Fengrui Zhang, Yufeng Qian, Yiyao Zhang & Yulin Zou - 2022 - Frontiers in Psychology 12.
    The quality of Innovation and Entrepreneurship Education in higher institutions is closely related to the degree to which the undergraduates absorb relevant innovation and entrepreneurship knowledge and their entrepreneurial motivation. Thus, an effective Evaluation of Educational Quality is essential. In particular, fault tree analysis, a common EEQ approach, has some disadvantages, such as fault data reliance and insufficient uncertainties handleability. Thereupon, this article first puts forward a theoretical model based on the deep learning method to analyze the factors of IEE (...)
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  30.  1
    The Linguistic Approach in the Study of Modernity: Political Interpretation on the Methodology of Koselleck’s Begriffsgeshichte.Fengyang Zhang - 2022 - Cultura 19 (1):179-190.
    The study of German Begriffsgeschichte by scholars such as Koselleck focuses on historiography, but its basic hypotheses are highly philosophical. One of its tasks is to explore modernity from the perspective of language, hence can be understood as the “linguistic approach” in the study of modernity. As for the origin of the theory, the conceptual evolution of Verzeitlichung, Demokratisierung, Politisierung, and Ideologisierbarkeit proposed by Koselleck was not only largely affected by Gadamer’s hermeneutics and Heidegger’s existential phenomenology but also deeply influenced (...)
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  31.  7
    Characterization of a Shale-Gas Reservoir Based on a Seismic AVO Inversion for VTI Media and Quantitative Seismic Interpretation.Feng Zhang, Lin Wang & Xiang-Yang Li - forthcoming - Interpretation:1-40.
    The Lower Silurian shale-gas formation in the south of Sichuan Basin represents strong VTI feature. Successful characterization of shale-gas formation requires handling the great influence of anisotropy in the seismic wave propagation. Seismic AVO inversion for VTI media using PP-waves only is a difficult issue because more than three parameters need to be estimated and such an inverse problem is highly ill-posed. We have applied an AVO inversion method for VTI media based on a modified approximation of the PP-wave reflection (...)
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  32.  4
    Associated Credit Risk Contagion with Incubatory Period: A Network-Based Perspective.Kai Xu, Jianming Mo, Qian Qian, Fengying Zhang, Xiaofeng Xie & Zongfang Zhou - 2020 - Complexity 2020:1-12.
    Associated credit risk is a kind of credit risk among the associated credit entities formed by credit-related entities. Focusing on this hot topic of associated credit risk and the relevant contagion and considering the latent entities and their incubatory period, this paper builds an infectious dynamic model to describe the associated credit risk contagion of associated credit entities based on the mean-field theory of complex networks. Firstly, this paper analyzes the stable state of the associated credit risk contagion in the (...)
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  33.  15
    Expression of Inducible Nitric Oxide Synthase in Muscle Flaps Treated with Ischemic Postconditioning.Mei Yang, Michael F. Angel, Yi Pang, John J. Angel, Zhe Wang, Michael W. Neumeister, Nathan Wetter & Feng Zhang - 2012 - In Zdravko Radman (ed.), The Hand. MIT Press. pp. 297-302.
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  34.  3
    Characterization of a Shale-Gas Reservoir Based on a Seismic Amplitude Variation with Offset Inversion for Transverse Isotropy with Vertical Axis of Symmetry Media and Quantitative Seismic Interpretation.Feng Zhang, Lin Wang & Xiang-Yang Li - 2020 - Interpretation 8 (1):SA11-SA23.
    The Lower Silurian shale-gas formation in the south of the Sichuan Basin represents a strong transverse isotropy with vertical axis of symmetry feature. Successful characterization of shale-gas formation requires handling the great influence of anisotropy in the seismic wave propagation. Seismic amplitude variation with offset inversion for VTI media using PP-waves only is a difficult issue because more than three parameters need to be estimated and such an inverse problem is highly ill posed. We have applied an AVO inversion method (...)
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  35.  2
    The Degree of Influence of Daily Physical Activity on Quality of Life in Type 2 Diabetics.Feng Zhang, Li Huang & Li Peng - 2020 - Frontiers in Psychology 11.
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  36.  2
    Altered Functional Connectivity in Individuals with Loss of Control Eating.Leora Benson, Karol Osipowicz, Fengqing Zhang & Michael Lowe - 2018 - Frontiers in Human Neuroscience 12.
  37.  3
    Effect of Temperature on the Anisotropy of AZ31 Magnesium Alloy Rolling Sheet Under High Strain Rate Deformation.Yanyu Liu, Pingli Mao, Feng Zhang, Zheng Liu & Zhi Wang - forthcoming - Philosophical Magazine:1-19.
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  38.  1
    The Impact of the Innovative Knowledge of Customers on Their Recommendation Intentions.Fenghua Zhang, Depeng Zhang & Mengfei Lin - 2020 - Frontiers in Psychology 11.
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  39.  1
    Member Selection for the Collaborative New Product Innovation Teams Integrating Individual and Collaborative Attributions.Jiafu Su, Fengting Zhang, Shan Chen, Na Zhang, Huilin Wang & Jie Jian - 2021 - Complexity 2021:1-14.
    As the first stage of the formation of a collaborative new product innovation team, member selection is crucial for the effective operation of the CNPI team and the achievement of new product innovation goals. Considering comprehensively the individual and collaborative attributions, the individual knowledge competence, knowledge complementarity, and collaborative performance among candidates are chosen as the criteria to select CNPI team members in this paper. Moreover, using the fuzzy set and social network analysis method, the quantitative methods of the above (...)
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