AHP-based Evaluation Of Farmlad

State land is an important natural resource, its protection and use is directly related to our food security, people's livelihood and national sustainable development strategies. For rational planning of land resources and scientific management, evaluation and analysis of the soil has become a particularly important part. However, the complex factors that affect soil fertility, the use of past experience is often lack of objectivity by man-made, and low inefficient, so it is difficult to form a unified and quantitative criteria, resulting in the lack of information relevant regulatory authorities, it is difficult to carry out efficient planning and management on land resources. Based on the above issues, this article combines the AHP method and FAHP Fuzzy analysis technique use computer to carry out modeling, analysis, with physical and chemical properties of all arable land, the external environment, the weight of each factor of a full range of integrated assessment.This paper referenced domain knowledge, relying on the national land resources management information system, give the corresponding solution to establish a good reference value in the national fertility level of the system.The AHP method mentioned in this papper can be summaried as a method to quantify non-quantifiable factors and combination of factors in decision-making, usually used to analyze multiple, unstructured complex systems. AHP can combine with experience of experts in the field of practical and the scientific and quantitative criteria to solve problems in decision-making which often appears on the determination of non-conformance issues, the idea is to abstract the complexity of a problem which was first divided into several relatively specific section, and then continue to divide by some of these levels, in the end,the problem is to deal with the final implementation of the only two factors exist in a binary relationship. It greatly simplifies the process of thinking, decision-making logic to avoid confusion, unclear regulations happen. Use this idea, we can also work to meet the evaluation which distributed to mutual non-interference, and greatly improved the assessment of the efficiency of decision making in various fields.This method has broad practical.Practice of this paper can be divided into two parts, early and late. Early, author first read a lot about soil fertility, irrigation and other aspects of the relevant information on the issues of detailed interpretation, and the basic principle for the evaluation of soil fertility, and combined with expertise in various fields, screened a series of evaluation elements, using the AHP technology concepts, preliminary screening of some soil fertility will have a significant positive effect of factors, evaluation of soil fertility on the establishment of the AHP model; later, author uses AHP Technology and fuzzy AHP technique designed calculate fertility units factor weight method, using C++ programming language to realize the algorithm's core functions, and simulated data a large number of experiments, in contrast to experiment, to further understand link in the application of two methods strengths and weaknesses. Experiments show that the AHP algorithm in the field of traditional knowledge available complete (high internal consistency) case works well,3rd order matrix in the Lord with the power law characteristic value, the basic convergence within 20 iterations, high precision, fast; fuzzy FAHP algorithm greatly reduces the amount compared to AHP, but often its weight distribution is too concentrated, is not conducive to the comprehensive evaluation of the right of cross-layer accumulation, caution should be used in simple terms sorted by weight factors. In this algorithm based on the author designed the prototype of Farmland Assessment System, as an experimental system, designed for the future should be considered, so author also planned that some functions can be expanded for future exercise in the system.On the final stage of the experiment, author summarized this method, and support Outlook for future work. AHP technology as a universal method, in the application project of Evaluation of soil fertility, there are some imperfections on the theory which based on (for example, the total level of assessment methods FAHP right); in specific applications, on the depth and breadth of the research there is new expandable space. In FAHP method, we can meet the need of the circumstances, design gain function, so that the results were controlled and distribution, to avoid concentrate; for higher order matrix, the origin of translation method can be used to optimize the algorithm to accelerate the convergence. In addition, we can also study the other relevant data of the object, and carry out aggregate with it, to design and archive data warehousing. On this basis, in the further, the relevant data mining methods can be applied for research on soil fertility changes in trend forecasting, so as to provide the state and the corresponding departments some reference about the formulation of relevant local arable land policies, some reference experience for the establishment of the national fertility level of the system, and technical support for the sustainable development of agriculture in China.