ICTIS 2017: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1 pp 551-559 | Cite as
An Agricultural Intelligence Decision Support System: Reclamation of Wastelands Using Weighted Fuzzy Spatial Association Rule Mining
Abstract
The increase in GDP of the country has given a flight to industrialization and urbanization, causing more and more utilization of agricultural lands for non-agricultural purposes. Since the availability of agricultural lands is limited, requisite measures must be taken to restore wastelands for cultivation. Therefore to filter out the suitable wastelands for reclamation and predict their level of utilization, this paper proposes the agricultural intelligence decision support system. The proposed system has two phases. The first phase consists of the mining technique in which required attributes are selected, intersection is applied as spatial predicate and weights are assigned to linguistic terms for obtaining weighted fuzzy rules. In the second phase the fuzzy inference system is constructed in accord of the weighted fuzzy spatial rules mined in the previous phase. This will assist agriculture-related organizations and persons to take well informed decisions for effective utilization of wastelands.
Keywords
Agricultural Intelligence Weighted Fuzzy Spatial Association Rule Mining Utilization of wastelands Mamdani Fuzzy Inference SystemReferences
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