1、 In general, Practical problems often have different numbers of different dimension , but when we calculate the correlation degree, it requires the same numbers of same dimension . So we want to carry out a variety of data processing dimensionless.in addition , For comparison easily, all the sequsec
2、es are required to have a common point .In order to solve these two problems, we transform the given sequences. The given sequence we nameas initialization sequence of Original sequence 4.2 Water resources carrying capacity evaluation indexes and classification indexesThe establishment of evaluation
3、 index system of water resources carrying capacity is a key issue in the study of water resources carrying capacity. Regional water resources carrying capacity is influenced by many factors, Should be selected according to the requirements of the specific regional social development backlog of socia
4、l - economic index system response - natural compound ecosystem development scale and quality, reference existing literature results, through the grey correlation analysis, the bearing capacity of water resources evaluation index are shown in table 1. Approach A : Weighted Average Evaluation Based M
5、odel Fig.1.The index system of water resources carrying capacityAgriculture investment Social economic indicatorindicatorsIndustry investmentPer GDPThe index system of water resources carrying capacity Water environment indicatorWater resources indicatorsIndustrial sewage treatmentIrrigation displac
6、ementPer capital emissionLife water leverWater resource quantityComprehensive analysis of water resources carrying capacity of main influencing factors and performance system, with reference to the evaluation index system of water resources carrying capacity at home and abroad to select the followin
7、g 6 main factors as evaluation factors, The meaning of the factors as follows:Water resource utilization ratio（）: water and the ratio of the total population（）;water utilization rate（）: The ratio of the available water quantity and water resources （%）;utilization rate of arable land （）: Irrigation a
8、rea and more on the ratio of the area（%）;The modulus of water supply（）: water and the ratio of the land area（）;modulus of water requirement（）: The total water demand and the ratio of the land area（）;Life water use ratio（）: Domestic water amount and the ratio of the total water demand（%）According to
9、the above six evaluation factors on the influence degree of the regional water resources carrying capacity Will the influence of these factors are divided into three levels, Each factor, the number of each level indicators are shown in table 2. The said condition is bad, water resources carrying cap
10、acity is close to saturation value, further development and utilization of potential is smaller, develop water shortages will occur;Membership condition is good, said there are still large carrying capacity of water resources in this area, water resource utilization degree of development in this are
11、a are small, water supply situation more optimistic;Level is between the above two levels, which indicates that this area has a scale development for the supply of water resources development, but still has a certain ability of development and utilization of local economic development and people hav
12、e certain guarantee survival. The evaluation factorsPer capita water supply /22502250-10001000Water resources utilization %3030-6060The modulus of water supply /8080-100100Farmland irrigation rate /%2020-5050Water demand modulus /60-100Domestic water rate /%44-22Scores 0.950.50.05Table 2: classifica
13、tion index comprehensive evaluation factors4.3 The fuzzy comprehensive evaluation model Because of the bearing with uncertainty and fuzziness, the fuzzy evaluation model can be well carried out on the water resources carrying capacity multi-factor and multi-level comprehensive evaluation, comprehens
14、ive to reflect the status of the regional water resources carrying capacity.Fuzzy evaluation for B=AR finite field, With U on behalf of the comprehensive evaluation factors of collection, V on behalf of the evaluation of collection. Type A is U in the fuzzy subsetA= ,0 for U for A membership.It mark
15、ed the single factor evaluation factors in the role of size, To a certain extent, also on behalf of the ratings; The evaluation result B is the fuzzy subset of V .B=, 0, for the level of comprehensive evaluation the membership degree of fuzzy subset B, they say the result of comprehensive evaluation
16、. Evaluation matrixAmong forevaluation of grade membership degree, Matrix of the ith line is the single factor evaluation results of the ith a factor.Evaluation computer matrix A representative of the various factors on the comprehensive evaluation of the importance of weight coefficient, thus satis
17、fy, fuzzy transform AR also can be degraded for common matrix is calculated.4.3.1 The calculation of matrix R Corresponds to the evaluation sets of evaluation factors, and can be through the evaluation factors in the evaluation matrix R the actual numerical control classification indexes of various
18、factors to analysis and calculation. In order to make the membership function can smooth transition between at all levels, the blur processing. Of V2 point of membership degree is 0.5, the midpoint to according to linear regressive processing. For V1 and V3 on both sides of the interval, then make t
19、he farther away from the critical value of range on either side of the membership degree, the greater the belong to both sides on the critical level of membership you 0.5 according to the grades of the above ideas to construct a evaluation the calculation formula of subordinate function. V1 and V2 l
20、evel threshold for K1, V2 and V3 threshold for K3, V2 mid-range level interval for K2.K2.For evaluating factors u3 u4 u5 u6 and comments and calculating formula for relative membership degree function:Calculate the relative membership degree of evaluation factors according to the type, For evaluatio
21、n factors in the evaluation and the calculation of the relative membership degree function simply type （1） （3） the right end of type UI interval good instead of ; And instead of after the calculation formula of the same 4.3.2 Fuzzy comprehensive evaluation According to the evaluation factors influen
22、ce the size of the carrying capacity of water resources Will judge factors influence on water resources carrying capacity endowed with different weights According to the matrix A and R, B = AR according to common matrix calculation rules can be obtained by matrix of ultimate bearing capacity of wate
23、r resources evaluation results, according to the corresponding classification index score values regional water resources carrying capacity comprehensive evaluation value can be obtained, Regional water resources carrying capacity comprehensive evaluation value can be obtained The regional water resources carrying capacity. The comprehensive evaluation and analysis. K value is to highlight the role of the dominant level, usually take 1 in arid areas.
