Uncertainty exist for the situation when thorough knowledge pertaining to the situation does not prevail. Hence, decision making for the problems based on such uncertain situations found to be hard and difficult. The introduction of the fuzzy model called Fuzzy Cognitive Maps by Kosko later which the other fuzzy models by Vasantha Kandasamy et al., justified the use of fuzzy models in many social related problems where in the vagueness of the problems were dealt with in an eminent manner. The growth and benefits of fuzzy models for uncertain situation is seen by its recent development of new fuzzy models which act better than the existing ones. In the same way, a new fuzzy model called Induced and Combined Extended Fuzzy Clustering model have been developed for the first time in this paper in order to analyze any social related and other similar problems of real life world. The new model works on unsupervised data collected from the expertís opinion and analyzes the factors that induces the problem. The algorithm of combined extended fuzzy clustering is applied in order to categorize the factors into range of clusters by taking multiple expertís opinion which gives better and refined solution than, the solution given by other existing fuzzy models. Though many uncertain situation exists in the world to study, one such situation namely major causes for child trafficking to occur in major parts of India need to be focused so that an awareness could be created among the masses with the view to arrest the trends. This paper consists of four sections. Section one is introductory in nature. Section two gives the hidden pattern of Induced FCM and Combined Extended Fuzzy Clustering. Section three gives the analysis of the problem based on the proposed fuzzy model. Finally, section four gives the discussion and conclusion of the study, indicating the future course of action to curb the trafficking of children.