The Dynamic Fuzzy Clustering of the Project Stakeholders Demands Information

How to carry out the stakeholders managements effectively, one major issue is to continuously meet the demands of the stakeholders. The purpose of this paper is to clarify the disorganized information of stakeholders demands and correctly deal with it. The paper has expounded on the project stakeholders' demands information, such as fuzziness, randomness, dynamics, diversity and contradictoriness, through the analysis of fuzzy equivalence matrix to find the basic method and procedure of application of fuzzy equivalence relation classification by using the theory of fuzzy mathematics. Based on the fuzzy similarity matrix by using the least squares method derives its transitive closure, and solves the fuzzy clustering problem of fuzzy similarity relation. The paper verifies the effectiveness and feasibility about the dynamic fuzzy clustering of the stakeholders demands information by example, based on the principle of fuzzy clustering, studied the establishment and application of stakeholders' demands information related to dynamic fuzzy clustering models, set the characteristic indexes of project stakeholders demands information classification. Established the relevant theory of fuzzy clustering based on stakeholders demands information fuzzy clustering model, and study the specific implementation steps on how to use the model. These results have practical significance for the classification of managing complex stakeholders' demands information.