Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership function training in the context of Mamdani fuzzy models. Specifically, auto zoom function of a digital camera is modelled using Mamdani technique. The performance of control method is verified through a series of simul...

Recently Kernelized Fuzzy C-Means clustering technique where a kernel-induced distance function is used as a similarity measure instead of a Euclidean distance which is used in the conventional Fuzzy C-Means clustering technique, has earned popularity among research community. Like the conventional Fuzzy C-Means clustering technique this technique also suffers from inconsistency in its performa...

Fuzzy methods in remote sensing have received growing interest for their particular value in situations where the geographical phenomena are inherently fuzzy. A fuzzy approach is investigated for the classi® cation of sub-urban land cover from remote sensing imagery and the evaluation of classi® cation accuracy. Under the fuzzy strategy, fuzziness, intrinsic to both remotely sensed data and gro...

During the spatial estimation of geoscience resource variables, quantity or quality minerals and hydrocarbons can be represented by a broad range properties, including geochemical, geotechnical, other physical measures. Preferential sampling within region interest causes biased global parameters due to clustered patterns. Unbiased sample distribution is essential for conducting conditional simu...

Wheat has significantly impacted food security in numerous countries. Like the Middle East and North Africa (MENA) region, Jordan’s daily diet contains a sizable amount of wheat. Further, Jordan is dealing with several issues, including rapid population growth, water scarcity, widespread urbanization, limited agricultural wheat production. Thus, it imports most its products. Moreover, method se...