Fuzzy clustering models and applications
نویسندگان
چکیده
منابع مشابه
Analyse Power Consumption by Mobile Applications Using Fuzzy Clustering Approach
With the advancements in mobile technology and its utilization in every facet of life, mobile popularity has enhanced exponentially. The biggest constraint in the utility of mobile devices is that they are powered with batteries. Optimizing mobile’s size and weight is always the choice of designer, which led limited size and capacity of battery used in mobile phone. In this paper analysis of th...
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Slope stability analysis is an enduring research topic in the engineering and academic sectors. Accurate prediction of the factor of safety (FOS) of slopes, their stability, and their performance is not an easy task. In this work, the adaptive neuro-fuzzy inference system (ANFIS) was utilized to build an estimation model for the prediction of FOS. Three ANFIS models were implemented including g...
متن کاملDISTRIBUTED AND COLLABORATIVE FUZZY MODELING
In this study, we introduce and study a concept of distributed fuzzymodeling. Fuzzy modeling encountered so far is predominantly of a centralizednature by being focused on the use of a single data set. In contrast to this style ofmodeling, the proposed paradigm of distributed and collaborative modeling isconcerned with distributed models which are constructed in a highly collaborativefashion. I...
متن کاملA new method for fuzzification of nested dummy variables by fuzzy clustering membership functions and its application in financial economy
In this study, the aim is to propose a new method for fuzzification of nested dummy variables. The fuzzification idea of dummy variables has been acquired from non-linear part of regime switching models in econometrics. In these models, the concept of transfer functions is like the notion of fuzzy membership functions, but no principle or linguistic sentence have been used for inputs. Consequen...
متن کاملDeveloping new Adaptive Neuro-Fuzzy Inference System models to predict granular soil groutability
Three Neuro-Fuzzy Inference Systems (ANFIS) including Grid Partitioning (GP), Subtractive Clustering (SCM) and Fuzzy C-means clustering Methods (FCM) have been used to predict the groutability of granular soil samples with cement-based grouts. Laboratory data from related available in litterature was used for the tests. Several parameters were taken into account in the proposed models: water:ce...
متن کاملImage Segmentation: Type–2 Fuzzy Possibilistic C-Mean Clustering Approach
Image segmentation is an essential issue in image description and classification. Currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. Moreover, there are many uncertainties and vagueness in images, which crisp clustering and even Type-1 fuzzy clustering could not handle. Hence, Type-...
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