The nodes in the mobile ad hoc networks act as router and host, the routing protocol is the primary issue and has to be supported before any applications can be deployed for mobile ad hoc networks. In recent many research protocols are proposed for finding an efficient route between the nodes. But most of the protocol’s that uses conventional techniques in routing; CBRP is a routing protocol th...

Abstract General type-2 (GT2) fuzzy logic systems (FLSs) become a popular research topic for the past few years. Usually Karnik–Mendel algorithms are most prevalent approach to complete type-reduction. Nonetheless, iterative quality of these types computational intensive might impede applying them. For improved algorithms, some noniterative can enhance calculation efficiencies greatly, while it...

Clustering technique is one of the most important research areas in the field of data mining. This paper proposes an improved K-Means clustering algorithm form partition based clustering algorithms. It determines the initial centroid of the cluster and gives more efficient performance and reduces the time complexity of the large data sets. The data set used here is banking data. Fuzzy C-Means c...

Computing the centroid of a type-2 fuzzy set (T2 FS) is an important operation for such sets. For an interval T2 FS, the centroid can be computed by using two iterative procedures that were developed by Karnik and Mendel [2]. In this paper, we prove that if the footprint of uncertainty for an interval T2 FS is symmetrical about the primary variable y at y = m , then the centroid is also symmetr...

Computing the centroid of a type-2 fuzzy set (T2 FS) is an important operation for such sets. For an interval T2 FS, the centroid can be computed by using two iterative procedures that were developed by Karnik and Mendel [2]. In this paper, we prove that if the footprint of uncertainty for an interval T2 FS is symmetrical about the primary variable y at y=m, then the centroid is also symmetrica...

In real life, the degrees of certainty that correspond to one of the same expert can diier drastically, and fuzzy control algoirthms translate these diierent degrees of uncertainty into diierent control strategies. In such situation, it is reasonable to choose a fuzzy control methodology that is the least vulnerable to this kind of uncertainty. We show that this \robustness" demand leads to min...

Fuzzy co-clustering extends co-clustering by assigning membership functions to both the objects and the features, and is helpful to improve clustering accurarcy of biomedical data. In this paper, we introduce a new fuzzy co-clustering algorithm based on information bottleneck named ibFCC. The ibFCC formulates an objective function which includes a distance function that employs information bott...

By connecting the fuzzy weighted average (FWA) and the generalized centroid (GC) of an interval type-2 fuzzy set we have arrived at a new αcut algorithm for solving the FWA problem, one that is monotonically and super-exponentially convergent. Our new algorithm uses the Karnik-Mendel (KM) algorithms to compute the FWA α-cut end-points. No faster algorithm for solving this problem exists to-date.

Timbre and emotion are two of the most important aspects of musical sounds. Both are complex and multidimensional, and strongly interrelated. Previous research has identified many different timbral attributes, and shown that spectral centroid and attack time are the two most important dimensions of timbre. However, a consensus has not emerged about other dimensions. This study will attempt to i...