Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an analysis of the contradiction in this knowledge as an additional search criterion during the model identification process. In order to do so, we first define a measure of contradiction between fuzzy rules. Then, we assum...

land cover information is one of the most important prerequisite in urban management system. in this way remote sensing, as the most economic technology, is mainly used to produce land cover maps. considering the complicated and dense urban areas in third world countries, object based approaches are suggested as an effective image processing technique. the purpose of this paper are the introduc...

The conversational recommender systems (CRSs) have received extensive attention in recent years. However, most of the existing works focus on various deep learning models, which are largely limited by requirement large-scale human-annotated datasets. Such methods not able to deal with cold-start scenarios industrial products. To alleviate problem, we propose FORCE, a Framework Of Rule-based Con...

highlighting the driving cause and its strict relationship with the formal cause and especially the final cause in the intrinsic elements of natural justice has caused the duality of reason and natural justice in the thinking of the proponents of the reason as the source. since the same emphasis makes the full understanding of the mechanisms of natural justice and its content for the human wisd...

ion. Once these tables have been set up, the expert is able to produce row after row on his own until a complete rule base is built. A rule generator currently produces rules in Clips or