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In this paper, we study a type-2 fuzzy classification method. Granular computing can help us to model the relationships between human-based system and social sciences in this field. The links in a social network often reflect social relationships among users. In this work, we investigate a classification identifying the relationships among social network users based on certain social network property,...
This paper presents a new model for general fuzzy type-2 clustering called Multi Central General Fuzzy Type-2 Clustering that is an extension of possibilistic c-means (PCM). We mainly focus on uncertainty associated with the cluster centers and define a set of points as the center for each cluster. In our model the degree of belonging is defined as general type-2 fuzzy and there is not any type reduction...
Community detection is an important task in complex network analysis. A community (or cluster) is a set of nodes that have more connections inside the set than outside. In the most real social networks, nodes are shared among different clusters and form overlapping communities. In this paper, we introduce a fuzzy graph clustering model to address the overlapping community detection problem. The new...
This survey presents crisp and fuzzy models developed for the Supply Chain (SC). To this end, fuzzy concepts are first briefly reviewed. Then the structure of a supply chain system is explained. Recent challenges and ideas on these systems are also surveyed. Then, with reference to different aspects of an SC system, we classify the recent fuzzy models developed for different SC systems and compare...
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