基于未确知测度理论，建立旱砂地籽瓜与花生不同间作密度的优越性等级评价和排序模型。选取籽瓜种子千粒重、产籽率、种子产量、花生产量、经济效益、产投比6个评价指标，根据试验实测数据建立各影响因素的未确知测度函数。根据实际情况，进行定量分析，利用熵计算各影响因素的指标权重，根据置信度识别准则对不同密度的间作模式效果等级进行判定，并对其进行综合评价排序。评价结果表明，花生株距为50 cm时的评价结果最佳，未确知综合评价指数为3.26。该方法在评价和优选不同间作模式中更具客观性，可根据现场实际情况进行灵活选择评价因素，评价结果更具客观性，在评价和选择间作最佳栽培密度时具有一定的优越性。

Based on the uncertainty measurement theory，to enrich the method for evaluating different planting modes quality. a superior-evaluating and order-arranging model of planting modes of intercropped seed watermelon and different planting density of peanut in dry sandy land was established. Considering the test condition of intercropped production，selecting six evaluation index are the seed watermelon thousand-seed weight， seed output ratio， seed yield， peanut yield，economic benefit and output ratio， and uncertainty measurement function was obtained based on the in-situ data. The uncertainty problems planting modes of intercropped seed watermelon and peanut which the production in the field was solved quantitative analysis respectively. Entropy theory was used to calculate the index weight of factors， and credible degree recognition criteria were established according to the theory uncertainty measurement and arrange the order of comprehensive evaluation， Finally， the results can be obtained. The results show that the best evaluation result which the planting density of peanut is 50 cm， the evaluation index is 3.26. The method in different intercropping mode of melon and fruit by evaluation and optimization more objective， evaluation of influence factors can be flexible to choose according site actual conditions， the result of evaluation is more objective， and it shows the advantage in the evaluation and selection of the best intercropped density.

S651；S565.2

甘肃省财政厅项目“籽瓜优质丰产栽培及病虫害防治技术示范推广”部分内容