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Fuzzy c-means is one of the most popular algorithms for clustering analysis. In this study, a novel FCM based algorithm called double indices induced FCM (DI-FCM) is developed from a new perspective. DI-FCM introduces a power exponent r into the constraints of the objective function such that the range of the fuzziness index m is extended. Furthermore, it can be explained from the perspective of entropy...
The Fuzzy C-Means (FCM) algorithm is commonly used for clustering. The weighting exponent tn and the clustering number C are the important parameters in FCM algorithm. Conventional fuzzy clustering method must use both of the two prespecified parameters, so in this paper we analyses the original algorithm and studies on the optimal selection methods of the m and c by introducing the fuzzy decision...
Reputation evaluation in mobile commerce (MC) is a complicated system issue. After analyzing deficiencies of decision model in existing reputation management system, and combining with characteristic of MC, the paper presents a new reputation evaluation model (REM) used in MC. The model improves the reputation fraud prevention ability, for example, the cahoots fraud, the cumulating the reputation...
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