Connectivity has an important role in neural networks, computer network, and clustering. In the design of a network, it is important to analyze connections by the levels. The structural properties of intuitionistic fuzzy graphs provide a tool that allows for the solution of operations research problems. In this paper, we introduce various types of intuitionistic fuzzy bridges, intuitionistic fu...

A new method to clustering analysis, which is based on integration of graph theoretical method and fuzzy objective fimction algorithm, is developed. The connectivity mritriv derived from fuzzy limited neighborhood graph and the measurement for similarity and dissimilarity a re utilized to build a new fuzzy objective function that iinifles global data distribution and local spatial information. ...

In this paper, the authors have proposed Fuzzy Cost Metric based Adaptive (FCMA) routing protocols for WSNs. Residual energy, Congestion level and Connectivity parameters have been used to calculate the fuzzy routing cost in order to decide the forwarding node. The results obtained indicate that the proposed FCMA protocols reduce the energy consumption and latency and increase the lifetime of t...

In this paper, we introduce generalized connectivity in L-fuzzy topological spaces by à Lukasiewicz logic and prove K. Fan’s theorem.

False recall of critical non-presented words in lists of associated words was examined with immediate testing and after a one-week delay. The word lists were manipulated such that the density of the inter-associate connectivity – the number pre-existing connections between the associates of the critical non-presented target – was either high or low. When recall occurred immediately after the st...

One of the ad hoc network challenges is the network connectivity due to changeable and dynamic topology of network nodes. Since in ad hoc network every nodes plays the role of router, so it is possible that the movement of one or more nodes may disconnect the network. If the network get disconnected the desired data cannot be send from source to destination .So , in order to alleviate this prob...

In this research paper, an agglomerative mean shift with fuzzy clustering algorithm for numerical data and image data, an extension to the standard fuzzy C-Means algorithm by introducing a penalty term to the objective function to make the clustering process not sensitive to the initial cluster centers. The new algorithm of Shortest path and Fuzzification algorithm can produce more consistent c...

A fuzzy approach to segmentation of the cruciate ligaments of the knee joint and a three dimensional visualization method are presented in this paper. The cruciate ligaments are the major stabilizers of the knee. The ligaments injuries are common nowadays and a correct diagnostics, preceding the surgical therapy is a very important task. Segmentation of the ligaments is difficult due to a poor ...