Fuzzy comprehensive evaluation of auto-driven micro-cultivator quality

To roundly assess cultivator quality level, many technical specifications prescribe that quality investigation should be conducted so that cultivator quality information and its customers’ potential demands can be obtained. As most of the indexes to investigate are fuzzy, comprehensive evaluation of auto-driven micro-cultivator is much more complicated by means of interview of users than direct measurement of its properties. By means of comprehensive evaluation principle of fuzzy mathematics, in view of the characteristics of auto-driven micro-cultivator and its technical standards, four kinds of auto-driven micro-cultivator most widely used in hilly areas were evaluated on three first level factors, i.e. adaptability, reliability and economic natures, and seven secondary level factors including cultivation effects, working efficiency, field adaptation rate, mean time between failures, maintenance costs, specific fuel consumption, product price, and six third level factors including cultivation depth, land surface smoothness after land leveling, vegetation cover rate. Applying maximal subjection degree theory in fuzzy mathematics, a comprehensive evaluation mathematic model was formed. Practical case calculation and analysis prove that the model is feasible and dependable..The research results have great importance in the selection and quality evaluation of micro-cultivator as well as similar problems.