Research On Co-adaptability Of Conflict Events In Construction Engineering Project Based On Entropy

(1)Thought statistics analysis of investigation results, conflict event's whole distribution state and their mathematical characteristics have been described; Conflict appearing rules in each stage of CEP have also been offered in representing intensity. On the basis of these studying results and AHP theory, conflict event's judgment matrix of each stage has been set up. Meanwhile, According to these matrix's characteristic roots, all impacts on CEP from conflict have been analyzed.(2)This research has found and made certain that conflict events have obviously multi-attribution characteristics thought analysis of conflict event's investigation results. This shows conflict events result from many elements while no any one element, therefore, we should deal with conflict by a synthesis method while no just any one technique. In addition, clustering analysis of conflict events has also shown that solving conflict efficiently need as clearing as a bell organization, reasonable resource scheme and efficient management way. According to these researching results, conflict should be solved in a new mechanism, and the mechanism should have such characteristics as rationality, healthiness and efficiency.(3)Because development and change of conflict is also such process which systematic variable transform continually, so, in order to analyze and describe above two processes contained in co-adaptability, on the basis of thermodynamics, the paper describes the evolution process of co-adaptability and state equations of conflict events in construction engineering project in entropy by contrasting dissipative structure with project management system aiming at unsolved problem in co-adaptability research.(4)In order to seek co-adaptability solution to conflict events in construction engineering project, a new method referred to as segmented hierarchical algorithm has been put forward by contrasting co-adaptability evolution process of conflict events with stackelberg model. By applying this algorithm, many local solutions delegated the first-order transition result of co-adaptability can be obtained. On the basis of these local solutions, a globe solution delegated the second-order transition result of co-adaptability can also be selected according to an approach to judging satisfaction degree of local solutions. The research result shows that this algorithm can not only solve co-adaptability problem of conflict events efficiently, but also possess universality in project management decision-making with multi-levels and many partners.(5)In order to find and forecast conflict events in advance, an idea called forewarning management has been offered together with essential imitation interfaces and dealing program, as well as forewarning kinds.