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This paper proposes a new method for selecting input variables in short-term electric load forecasting models. It is known that input and output variables do not follow the Gaussian distribution in load forecasting. In this paper, a hybrid method of graphical modeling (GM) and deterministic annealing EM (DAEM) clustering is presented to clarify causal relationship between the explained one-step-ahead...
In Internet-based e-commerce, the transaction entities' trust levels provided by e-commerce platform can be viewed as a key indicator for users selecting transaction partners. The trust of transaction entities objectively and comprehensively represents the integrated influence of various trust attributes. Aiming at uncertainty and ambiguity of trust in e-commerce, the concept of membership degree...
Efficient Store Management is one important strategy of Category Management, how to get the character of the store and how to classify the stores is the aims of this study. Using the Association to find the goods selling knowledge, building the similarity matrix, and applying the Fuzzy Cluster to classify the stores, so the special promotion to different type of store. The Precision Marketing is realized...
A novel dynamic evolutionary clustering algorithm (DECA) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. DECA searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes; at the same time, the convergence of clustering...
This paper focuses on building a rule based model for a water supplying network using particle swarm optimization and fuzzy clustering. There are various fundamental problems of water supply distribution networks namely distance, quantity, demand, elevation etc. Depending on these factors we get the water at receiving ends in terms of quantity, pressure etc. An algorithm is proposed to obtain desirable...
The grouping of software project practice teaching has very important valuable for improving teaching quality. Traditional grouping method, which based on grades of students, is probable that leads to grouping unreasonably, and it affect teaching quality of software project practice. In this paper the fuzzy-based clustering genetic grouping model is present, it makes use of fuzzy clustering to classify...
Xinxian county of China has rich red-tourism resources. Assessment on red-tourism development potential can guide the tourism planning and promote the sustainable red-tourism development. This study applied AHP (analytic hierarchy process) method and fuzzy clustering to the assessment on red-tourism development potential. The 28 main scenic spots of red-tourism in Xinxian county of China were categorized...
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