A model for evaluating the influence factors in trademark infringement based on fuzzy analytical hierarchy process

Construction and Application of the Talent Training System in Colleges and Universities Based on the Fuzzy Analytic Hierarchy Process

At present, the competition among talents to seize jobs is becoming more and fiercer. How to stand out in the fierce competition for talents and seize market resources is a problem that every graduate must think deeply. Domestic research on the composition of the implementation elements of talent training in colleges and universities from the perspective of excellent school talent training has achieved fruitful results. Their measures and implementation ideas mainly include the following aspects: first, analyze the system of talent training in colleges and universities; second, analyze the teaching methods of college teachers; third, analyze the future development direction of talents. Taking a university as a pilot unit, this paper constructs a talent training system based on the combination method of fuzzy hierarchy, determines the training goal according to students' own ability, formulates the talent training scheme according to the goal, determines the rectangular array relationship between the training system and students' own ability requirements and attaches importance to practical teaching. The algorithm used in this paper firstly establishes a hierarchical structure model and then combines the relevant measures of AHP to sort the weights of indicators and finally calculates the entropy value by quoting entropy weight. We use the fuzzy method combined with hierarchical analysis to evaluate the five indexes of students' own influencing factors, such as learning attitude, basic knowledge, cooperation ability, development ability, and professional ability. It can be seen that the algorithm model is more accurate and the error value is the smallest. Compared with their combination method, the fuzzy evaluation method and the hierarchical analysis method are practical, and the fuzzy method combined with the hierarchical analysis combination method has more practical significance. Finally, the employment situation of graduates is compared and analyzed to further highlight the effectiveness of the model.

A Game Analysis-Based Behavioral Interaction Framework between Governments and Innovative Enterprises for Intellectual Property Regulation Policies

Although the Chinese government has issued and revised a series of policies and regulations on intellectual property, infringement still repeatedly occurs. China is in a critical period of economic transformation and upgrading, and the problem of intellectual property infringement is becoming increasingly prominent. Accordingly, in this study, an evolutionary game analysis-based behavioral interaction framework between innovative enterprises and local government regulators, based on evolutionary game theory, was constructed. The strategy choice of both sides of the game and the evolutionary stability of the system were analyzed, and the evolutionary path of each equilibrium point was verified by simulation. The results show that the proposed framework is complex; the dynamic evolutionary system has different evolutionary equilibrium states under different institutional environments. Profit is not the only factor affecting the behavior decision of enterprises; the behavior strategies of governments also have an effect, and the interaction is mutual. Under the government supervision mode, innovative enterprises gradually evolve into the non-infringement strategy under the pressure of external supervision. However, the policy cost of this mode is too high for it to be the optimal solution for regulatory policy. Under the mode of no government supervision, the innovation incentive policy gives enterprises the internal motivation to innovate, results in a relative reduction in the infringement income, and blocks the inducement of infringement. This can effectively control enterprise infringement to realize the sustainable development of enterprises and ultimately achieve the desired objectives of government regulatory policy.