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[Purpose/Significance] In the ever-evolving realm of higher education, the pronounced significance of methodically evaluating talented people in scientific and technological (S&T) fields within academic institutions has risen to paramount importance. This research endeavors to intricately dissect the manifold factors of shaping the evaluation of talented people in Chinese colleges and universities. Simultaneously, it seeks to meticulously design a comprehensive indicator system custom-tailored to this unique milieu. The dual objective encompasses unraveling the intricate dynamics underpinning the evaluation of talented people in S&T fields and invigorating talent cultivation and igniting innovation in scientific research across the academic landscape. [Method/Process] Guided by a meticulous review of both domestic and international advancements in the domain of the evaluation of talented people in S&T fields in higher education, this paper diligently dissects the intricate interplay of systems, theories, methodologies, and evaluation frameworks within Chinese academic institutions. By meticulously addressing associated challenges, conducting extensive discourse on influential variables, and meticulously examining facets of S&T prowess assessment within universities, this study culminates in the construction of an evaluation indicator system tailored to the unique nature of institutions of Chinese higher education. [Results/Conclusions] The findings echo the existence of critical gaps in the ongoing evaluation of talented people in S&T fields within Chinese universities. These noteworthy limitations encapsulate the intricate equilibrium sought between objectivity and subjectivity, the imperative for indicators to be comprehensive yet operationally feasible, the mandate for assessment to be dynamic and timely, and the essentiality of embracing multi-dimensional evaluation. This compels us to chart a trajectory towards the future where the development of an evaluation system of talented people in S&T fields rests on the bedrock of data-driven and intelligent assessment paradigms. This envisioned system must incorporate multi-dimensional evaluation approaches, integrate behavioral assessment modalities, deploy dynamic evaluation mechanisms, and, equally, factor in dimensions of social influence, sustainability, and internationalization. As we navigate this academic journey, further empirical research and meticulous indicator validation exercises must be undertaken within the realm of the evaluation of talented people in S&T fields in Chinese higher education institutions. These empirical undertakings, by virtue of their in-depth insights, are poised to illuminate our path forward, serving as compasses guiding the development of talented people in S&T fields in China's academic sphere. The journey towards comprehensive evaluation necessitates data-driven intelligence, multifaceted assessment perspectives, and a clear alignment with the pulse of societal dynamics and global imperatives. The culmination of these efforts will invariably shape the trajectory of the progression of talented people in S&T fields, ensuring that they remain at the vanguard of innovation and advancement. In essence, the evaluation of talented people within Chinese higher education institutions is primed for an evolution characterized by acumen, innovation, and internationalization. Through the harmonious amalgamation of rigorous research methodologies and adaptive frameworks, the academic community is poised to craft a transformative path that enriches talent development, propels research breakthroughs, and fuels the advancement of knowledge-based societies. [ABSTRACT FROM AUTHOR]

Aiming at the features of subjectivity and uncertainty of trust in open network, this paper put forward a new subjective trust evaluation model based on fuzzy theory. This model applied fuzzy theory to calculate results of subjective integrated trust evaluation between nodes. And the model introduced the time factor and a constraint mechanism for dishonest nodes on the calculation of trust, and used the close degree reversing the weight to calculate the integrated trust value, and used fuzzy equivalence relation to achieve cluster analysis of the trust value. At last, the analysis of simulation results indicate that the model is valid and feasible. The simulation experiments show that the model is able to objectively reflect the real situation. [ABSTRACT FROM AUTHOR]