Fuzzy relational calculus in land evaluation
Fuzzy relational calculus in land evaluation
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DOI：
10.1016/s0016-7061(97)00026-8
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发表时间：
1997-06-01
期刊：
影响因子：
6.1
通讯作者：
Kerre, E
中科院分区：
文献类型：
--
作者：
Groenemans, R;VanRanst, E;Kerre, E
近年来，模糊推理方法被用于类似土地评估的情况，在这种情况下，关于土地适宜性的决定往往必须基于不精确的信息。这种土地评价的准确性取决于衡量土地质量对作物生产影响的质量。模糊集方法的优点是类边界没有严格定义，因此允许类的部分隶属性。然而，模糊集理论在土地评价中的应用往往局限于隶属函数的使用，并且在权重赋予所考虑的土地质量方面存在弱点。引入模糊关系演算来克服这些问题。该方法基于土地质量与土地单元之间的模糊关系。这种关系在数学上描述了对某一特定作物的适宜性。关系演算提供了从先前定义的关系中构造新关系的可能性。它允许引入权重系数，以说明所考虑的每个土地质量的重要性。
In recent years, methods of fuzzy reasoning were developed for situations akin to those found in land evaluation, in which a decision about land suitability must often be based upon imprecise information. The accuracy of such land evaluations depends on the quality of weighing land qualities with respect to their effect on crop production. The advantage of the fuzzy set approach is that class boundaries are not sharply defined, thus allowing the possibility of partial membership to a class. However, the application of fuzzy set theory in land evaluation is often limited to the use of membership functions and has weaknesses with regard to the way weights are attributed to the land qualities considered. Fuzzy relational calculus is introduced to overcome these problems. This new approach is based on fuzzy relations between land qualities and land units. Such a relation mathematically describes the suitability for a particular crop. Relational calculus offers the possibility to construct new relations from those defined previously. It allows to introduce weight coefficients that account for the importance of each land quality considered.