… In conclusion, the efficiency of the fuzzy logic clustering Furthermore, in the case of noisy, …
algorithm for providing functional maps of human brain lematic data sets, the use of an …

… Also we have some hard clustering techniques available like K-… Fuzzy clustering algorithm
and hard clustering algorithm. … , fuzzy clustering algorithm includes much more fuzzy logic …

… We have also focused on some fuzzy logic based clustering protocols. Each … efficient
clustering algorithm has been proposed for Wireless Sensor Network using fuzzy logic concept. By …

… famous clustering techniques: Fuzzy C-mean (FCM) algorithm and Subtractive clustering
algorithm… Fortunately, clustering and fuzzy logic together provide simple powerful techniques to …

… Article [12–13] present introductions to ant inspired algorithms and brief overviews of ant-…
of fuzzy logic and improved ACO, we propose a novel unequal clustering algorithm which is …

… In this work clustering algorithm based fuzzy routing approach has been proposed, namely
CAFL. The main goal of CAFL protocol is to maximize the network lifetime of WSNs. To …

… clustering algorithm based on fuzzy logic (MCFL) with an entirely different approach is presented
to carry out node clustering … , numerous algorithms were tasked with clustering nodes in …

… Therefore, this paper proposes a distributed clustering algorithm EEDCF based on TSK
fuzzy model for WSNs to cope with the problems mentioned above. For each node, we consider …

… In the specific matter of computation, fuzzy clustering has its roots in fuzzy logic and indicates
the likelihood or degrees of one data point belonging to more than one group. This paper …

… of other clustering algorithms using Type-2 Fuzzy Logic … FPCM using Type-2 Fuzzy Logic
Techniques to provide this method … real world problems where data clustering is involved. Other …