Limited dominance relation-based self-adaptive reduction method of psychological crisis characteristic attributes

Abstract

The invention discloses a limited dominance relation-based self-adaptive reduction method of psychological crisis characteristic attributes. Data association degrees are used as step-one reduction conditions to eliminate the partial redundant attributes of a psychological characteristic set; data type judgment is used as initial construction to establish a limit pattern for a whole incomplete information system, and tools of consistent functions, consistent matrices and the like are adopted to carry out step-two reduction on a condition attribute set; the condition attribute set will spontaneously obtain optimal threshold values and an optimal attribute reduction result during a step-two reduction processing process of limited dominance relations through a method of modifying rough value parameters, and a heuristic feedback mechanism is designed, a self-adaptive genetic algorithm is used to dynamically adjust roughness, and a limited dominance relation-based complete self-adaptive reduction algorithm with variable precision is constructed. According to the method, complexity of decision rules is reduced while dimensionality of condition attributes needed by decision is greatly reduced, and psychological crisis judgment capacity under different conditions is improved.

Description

technical field [0001] The invention relates to the field of psychological information system decision-making, in particular to a self-adaptive reduction method of psychological crisis characteristic attributes based on restricted dominance relations. Background technique [0002] For the evaluation of the psychological crisis of college students, the subjective evaluation method is mainly used at present, that is, the psychological crisis early warning index system for the object is constructed from the psychological and social indicators, and the psychological crisis is subjectively identified through the questionnaire and scale evaluation. However, the subjective evaluation method lacks a unified evaluation standard, and there are problems such as unclear indicators, high difficulty in data collection, and easy to be affected by subjective factors. [0003] At present, there is no recognized standard for the evaluation index of college students' psychological crisis in th...

AI Technical Summary

Problems solved by technology

Liu Jian (2010) used the dominance relationship to construct the object dominance matrix to sort the objects, and borrowed from the maxima algorithm in the game decision-making, proposed to use the dominance relationship of the attribute value to determine the attribute weight, and use the dominance relationship to sort the decision-making objects and preferred, but its preference attribute relationship is not considered

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