WCSE

Land Indexes Selection Based on Fuzzy Measures

Abstract— In land consolidation, it is very important to construct an effective index system. Land data is characteristic of big volume, complex varieties and more indexes. We need select a group of good index for some goals of land consolidation according to concrete demand. In this paper, Fuzzy Integrals is adopted to finish the feature selection. Fuzzy Integral is a kind of infusion tool based on fuzzy measure which can describe the importance of each feature or feature subset. Some researchers can obtain the optimal solution for Fuzzy measure using soft computing tools. When the Fuzzy integrals can be transformed to a linear equation, L1-norm regularization method is applied to solve the linear equation system and find a solution with the fewest nonzero values for fuzzy measure. The solution with the fewest nonzero can show the degree of contribution of some features or their combinations for decision. This method provides a quick and optimal way to determine the land index system for preparing the following land research.

Index Terms— Land index, Fuzzy measure, L1-Norm Regularization

Jinfeng Wang
Department of Mathematics and Informatics, South China Agricultural University, CHINA
Yueming Hu, Xiangning Ren
Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, CHINA
Wenzhong Wang
Department of economics and management, South China Agricultural Universit, CHINA

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Cite: Jinfeng Wang, Yueming Hu, Xiangning Ren, Wenzhong Wang, "Land Indexes Selection Based on Fuzzy Measures," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 615-620, Moscow, Russia, April 15-17, 2015.