创新型人才的区间数群决策评价研究

科技创新型人才的规模成为国家综合实力的重要指标之一，专家给予人才的评价往往存在犹豫而适合采取区间数打分，为此建立集结信息的非线性规划模型，提出利用模拟植物生长算法集结区间数信息，构建群决策偏好矩阵。采用可能度和排序向量法进行排名，选取创新意识、创新人格、创新能力和智力4 个指标，以实例进行科技创新型人才的评价研究。研究结果表明，模拟植物生长算法能有效地集结多个专家的随机区间数，具有简便、灵活的特点。

Research of Evaluation for Group Decision on S&T Innovative Talents

The scale of innovative talents in science and technology becomes one of the important indicatorsof national strengths. The evaluation of the innovative talents should be solved urgently. Experts alwaysvacillatingly give talent evaluation lead to compatibly take points with intervals. This article establishedlinear programming model of information gathering and used plant growth simulation algorithm to gatherinformation of interval numbers and then built preference matrix of group decision making. Then possibilityformula and sort vector method were applied to rank. Finally 4 indexes were selected to evaluate, includinginnovative consciousness, innovative personality, innovative ability and intellectual. Then an example was givento analyze. The results show that plant growth simulation algorithm could effectively integrate random intervalnumbers of multiple experts. The way is both simple and flexible.